Data Scientist M F X Jobs

Graduate Data Scientist

From $100/yr

Company Description Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. Job Description More about our mission and what we offer . How you’ll contribute to our team of data scientists: * Help take Wise to the next level as we scale to impact 100’s of millions more customers * You will work directly on projects that impact our customers and will help us prioritize the most significant improvements to our products with their convenience and trust in mind. * Participate in building industry-proven machine learning based solutions and find opportunities to experiment with state-of-the-art algorithms. This Role Will Give You The Opportunity To * Choose your path to impact. We believe people do great things when they can act autonomously. So, instead of being told what to do, you’ll work with your team to create a vision of your own. You can always gather feedback from smart, curious people across Wise, but you’ll have the freedom to make your own calls * Be flexible in how and where you work. We understand everyone needs a little something different - so we’ll do our best to make it happen * Inspire teams with your ideas, knowledge and self-starting attitude In Your First 6 Months * You’ll onboard remotely and spend some time understanding your team and tribe’s vision. Once you know this, you’ll better understand how you can contribute * Understand the Wise domain * Understand the problems your team are solving * Understand how data science works at Wise and what each team and tribe does. From Marketing, to Treasury and Fraud teams - there are lots! Don’t worry, we’ll help you get acquainted * Understand the tech culture, the detail of the tech stack and how we build stuff. We work in autonomous teams, on different stacks so you’ll need to understand the details * We’re big on planning. You’ll go through two quarterly plan cycles and get to propose your own ideas to take your product further Qualifications What does it take? These things are a must: * You are graduating in 2027 or did in 2026 from Bachelors or Masters degree. This might be in Computer Science, Mathematics, or any other STEM subject * You are able to start a full time graduate job on 6 September 2027 * Knowledge of computer science and machine learning fundamentals, Python and SQL * A self-started side project(s) that you are proud to talk about * Curious, keen to learn and proactive by nature * You are open to and value feedback in order to improve * Eligible to work in London. And any of these would be great, but aren’t essential: * Experience in applying machine learning methods to real-world problems * Familiarity with supervised ML * Familiarity with Time Series Forecasting * Familiarity with supervised LLM chat and workflow automation * Familiarity with Computer Vision * Familiarity with Bayesian Learning * Familiarity with Causal Inference * Familiarity with Recommender Systems * Familiarity with Graphs and GNNs * Familiarity with Reinforcement Learning * Familiarity with Apache Spark or other distributed processing frameworks * Experience in software development Additional Information What You Get Back (London) * Stock options in one of the fastest growing European FinTechs * An annual self-development budget * Pet friendly offices * Salary of £58,000 / year * ‍♀️Lots of team activities * ️ A paid 6-week sabbatical leave after four years For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. If you want to find out more about what it's like to work at Wise visit Wise.Jobs. Keep up to date with life at Wise by following us on LinkedIn and Instagram.

Senior Associate, Data Scientist - Alternative Data Strategy

From $135,600/yr

Senior Associate, Data Scientist - Alternative Data Strategy Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The Alternative Data Strategy team drives credit decisioning forward by integrating non-traditional datasets into US Card strategies. As a Data Scientist, you will evaluate emerging vendors and data products, engineer high-impact features, build scalable processing and monitoring systems, and serve as the dedicated data domain expert guiding all users on dataset applications. In this role, you will also navigate risk governance for vendor models and build challenger models using new data to enhance existing ones. The scope involves rich cross-functional collaboration and continuous learning opportunities. Role Description In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love * Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data * Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation * Flex your interpersonal skills to translate the complexity of your work into tangible business goals * This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. The Ideal Candidate is: * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. * Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. * A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: * Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: + A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics + A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration Preferred Qualifications: * Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics), or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) * Experience working with AWS * At least 2 years’ experience in Python, Scala, or R * At least 2 years’ experience with machine learning * At least 2 years’ experience with SQL Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $135,600 - $154,800 for Sr Assoc, Data Science New York, NY: $148,000 - $168,900 for Sr Assoc, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Data Scientist

From $50,000/yr

Are you a Data Scientist who enjoys solving real-world problems with messy data, building practical machine learning solutions and turning complex information into actionable business insights? Our client is an ambitious, PE backed business based in Windsor, at the beginning of their journey to become a data enabled company with the adoption of advanced analytics, AI and ML operations. We're looking for a hands-on, numerically strong data professional to join a growing business and help transform its data capabilities. This is an opportunity to work across data science, engineering, AI and visualisation, with plenty of scope to develop your skills and make a tangible impact. This is an ideal opportunity for someone who wants to get hands-on, take ownership and see their work make a genuine difference to business performance. The Role * Clean, reconcile and integrate messy data from multiple systems using SQL, data pipelines and fuzzy matching techniques. * Develop, test and improve machine learning models, including predictive and risk modelling. * Explore AI applications to extract and validate information from documents, identify reliable data sources and automate processes. * Support the integration of data and ML models within a Snowflake environment. * Build data visualisations and dashboards to communicate insights to business leaders and investors. * Work with stakeholders to translate business challenges into practical, data-driven solutions. What we're looking for * A degree or postgraduate qualification in Data Science, Statistics, Mathematics, Computer Science or a related quantitative discipline. * Some practical experience with machine learning, AI or predictive modelling, gained through university projects or professional experience. * Strong SQL skills and an understanding of data structures, data integration and statistical methods. * A practical, proactive approach and the confidence to tackle imperfect data and ambiguous problems. * Strong communication skills, with the ability to explain findings and recommendations to non-technical stakeholders. Experience with Power BI, Snowflake, Python, MLOps, Docker, CI/CD or AI-powered applications would be advantageous. Why join? * Salary from £50,000, with flexibility for the right candidate. * 15% bonus potential, plus a 10% car allowance or pension contribution. * Hybrid working, typically 3-4 days per week in Windsor. * The opportunity to work with emerging AI technologies and help shape a growing data function. * Clear scope for career progression as the business expands.

DATA SCIENTIST

Bestmed Gauteng has an opportunity available for a Data Scientist position in the Actuarial and Data Science Department. Job purpose: The Data Scientist converts Bestmed's data into reliable analysis, models and analytical products that support member value, healthcare intelligence and better operational decisions. The role prepares and validates data, develops fit-for-purpose solutions and communicates findings in a form that business owners can use. The role provides reproducible evidence for…

Data Scientist

From $202/yr

Data Scientist, Permanent, London Join Pay.UK as a Data Scientist and work with data connected to services that millions of people and businesses across the UK rely on every day. This is a role for someone who wants to apply solid data science practice in a clear, meaningful setting, with the chance to help shape how we use data and AI across a trusted payments environment. We are looking for a specialist who enjoys turning complex data into clear insight, practical models and well-structured analysis. You will work closely with colleagues across the organisation, using evidence to support decisions, improve understanding and help us develop our data capability in a way that is thoughtful, transparent and useful. Accountabilities * Analyse large and complex datasets to identify patterns, trends and risks relevant to Pay.UK’s services and operations. * Build, test and refine statistical and machine learning models that support better forecasting, monitoring and decision-making. * Prepare clear visualisations, reports and presentations that explain methods, findings and limitations in a straightforward way. * Work with colleagues across business and technical teams to define data questions, shape analytical approaches and agree practical outputs. * Translate business problems into structured analytical tasks, including data preparation, feature selection and model evaluation. * Improve data quality and analytical processes by documenting methods, validating outputs and supporting good data practice. * Use SQL and programming tools to extract, clean and transform data from multiple sources for analysis and modelling. * Support the development of Pay.UK’s wider data and AI capability by contributing to repeatable methods, standards and shared learning. Qualifications, Skills and Experience * Professional experience in a Data Scientist role, with responsibility for delivering analysis and predictive or statistical models. * Solid applied experience using Python and SQL to extract, prepare, analyze, and model data. * Solid grounding in statistics and machine learning, with the ability to choose and evaluate suitable methods for real business questions. * Experience presenting technical findings clearly to non-technical audiences through reports, visualisations or presentations. * Experience working with large, complex datasets and applying clear quality checks, documentation and validation methods. Pay.UK Behaviours At Pay.UK, our behaviours are central to who we are and how we operate. They bring our values to life, shape our culture, and guide how we make decisions, collaborate, and respond to challenges across the payments ecosystem. All interview processes will assess the following behaviours: * Listen to Find Win-Wins - Empathy, Listening and Understanding * Influence with Courage - Influence, Courage * Go Horizontal First - Cross Boundary Collaboration * Take Ownership - Self Development * Opportunity Mindset - Initiative * Simplify - Achievement Orientation Inclusivity At Pay.UK, we value diversity and inclusivity. Research has shown that candidates from underrepresented groups may hesitate to apply unless they meet all the requirements listed. We encourage all qualified candidates to apply, regardless of how closely their skills and experience match the requirements. We are committed to supporting accessibility needs and creating a welcoming environment for all employees. Become part of our team and contribute to the creation of an inclusive work environment that values everyone's unique input. Who we are Pay.UK is the recognised operator and standards body for the UK's interbank retail payment systems. We provide the infrastructure and services that millions of people and businesses rely on every day, including Bacs, Faster Payments and the Image Clearing System for cheques, the Current Account Switch Service and Confirmation of Payee. Together, these services help keep money moving safely, securely and reliably across the UK and play an important role in supporting the economy. In 2025, the UK's retail payment systems processed more than 12.5 billion transactions worth over £11 trillion. Since its launch in 2013, the Current Account Switch Service has successfully helped consumers and businesses switch more than 12 million current accounts. These services help people receive their salaries, pay their bills, make payments and manage their finances with confidence. Our purpose is to provide the trusted infrastructure, standards and services that underpin UK retail payments. We deliver safe, resilient and efficient payment systems while working collaboratively with industry, regulators and stakeholders to strengthen resilience, tackle fraud, improve access and support innovation across the payments landscape. As the ecosystem evolves, we are continuing to develop our capabilities in areas such as data and AI, enhancing operational insight and helping to build a modern, trusted payments ecosystem. Benefits \& additional information * 12% Non-contributory pension * Discretionary annual bonus * 30 days annual leave (excluding bank holidays) * Private medical insurance, life assurance, income protection, health cash plan, dental insurance, Bupa medicals etc * Employee assistance programme * Cycle to Work Scheme * Season ticket loan * Annual fitness subsidy of up to £500 per annum * Working from home policy - minimum 40% in the office (eg. 2 days in the office over a 5 day working week) Please note: Some of our benefits are only available to colleagues after meeting the requirements of the probationary period* Pay.UK employee benefits are not available to contractors and are only available to permanent and fixed-term employees*

Manager, Data Scientist - Alternative Data Strategy

From $179,400/yr

Manager, Data Scientist - Alternative Data Strategy Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The Alternative Data Strategy team drives credit decisioning forward by integrating non-traditional datasets into US Card strategies. As a Data Scientist, you will evaluate emerging vendors and data products, engineer high-impact features, build scalable processing and monitoring systems, and serve as the dedicated data domain expert guiding all users on dataset applications. In this role, you will also navigate risk governance for vendor models and build challenger models using new data to enhance existing ones. The scope involves rich cross-functional collaboration and continuous learning opportunities. Role Description In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love * Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data * Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation * Flex your interpersonal skills to translate the complexity of your work into tangible business goals * This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. The Ideal Candidate is: * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. * Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. * A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: * Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: + A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics + A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics + A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics * At least 1 year of experience leveraging open source programming languages for large scale data analysis * At least 1 year of experience working with machine learning * At least 1 year of experience utilizing relational databases Preferred Qualifications: * PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics * At least 1 year of experience working with AWS * At least 4 years’ experience in Python, Scala, or R for large scale data analysis * At least 4 years’ experience with machine learning * At least 4 years’ experience with SQL Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Chicago, IL: $179,400 - $204,700 for Mgr, Data Science McLean, VA: $197,300 - $225,100 for Mgr, Data Science New York, NY: $215,200 - $245,600 for Mgr, Data Science Richmond, VA: $179,400 - $204,700 for Mgr, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Manager, Data Scientist - Alternative Data Strategy

From $179,400/yr

Manager, Data Scientist - Alternative Data Strategy Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The Alternative Data Strategy team drives credit decisioning forward by integrating non-traditional datasets into US Card strategies. As a Data Scientist, you will evaluate emerging vendors and data products, engineer high-impact features, build scalable processing and monitoring systems, and serve as the dedicated data domain expert guiding all users on dataset applications. In this role, you will also navigate risk governance for vendor models and build challenger models using new data to enhance existing ones. The scope involves rich cross-functional collaboration and continuous learning opportunities. Role Description In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love * Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data * Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation * Flex your interpersonal skills to translate the complexity of your work into tangible business goals * This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. The Ideal Candidate is: * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. * Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. * A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: * Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: + A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics + A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics + A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics * At least 1 year of experience leveraging open source programming languages for large scale data analysis * At least 1 year of experience working with machine learning * At least 1 year of experience utilizing relational databases Preferred Qualifications: * PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics * At least 1 year of experience working with AWS * At least 4 years’ experience in Python, Scala, or R for large scale data analysis * At least 4 years’ experience with machine learning * At least 4 years’ experience with SQL Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Chicago, IL: $179,400 - $204,700 for Mgr, Data Science McLean, VA: $197,300 - $225,100 for Mgr, Data Science New York, NY: $215,200 - $245,600 for Mgr, Data Science Richmond, VA: $179,400 - $204,700 for Mgr, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Data Scientist

From $77,600/yr

Job Number: R0250905 Data Scientist The Opportunity: As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors—from fraud detection to cancer research to national intelligence—we need you to help find the answers in the data. On our team, you’ll use your analytical skills and data science knowledge to create real-world impact. You’ll work closely with your clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You’ll develop algorithms and systems and use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients make informed decisions. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used. Work with us as we use data science for good. Join us. The world can’t wait. You Have: * 2+ years of experience with data exploration, data cleaning, data analysis, data visualization, data engineering or data mining * 2+ years of experience with statistical and general-purpose programming languages for data analysis * Experience analyzing structured and unstructured data sources * Experience developing predictive data models, quantitative analyses and visualization of targeted data sources * Experience building robust and scalable data engineering pipelines with diverse datasets and data types * Experience working with LLMs including Retrieval Augmented Generation (RAG) and AI Agents * Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing * Secret clearance * Bachelor’s degree in a STEM field Nice If You Have: * 2+ years of experience in the development of algorithms leveraging Python, R, Typescript or SQL and NoSQL * 2+ years of experience with Distributed data or computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL * 2+ years of experience with Machine Learning, AI or NLP * Experience working with Maven Smart System (MSS) * Experience working with logistics optimization models leveraging discrete optimization algorithms and routing models * Experience working with geospatial datasets * Experience working with logistics or supply chain datasets * Experience with visualization packages, including matplotlib, Plotly, Seaborn, or ggplot2 * TS/SCI clearance with a polygraph * Master’s degree in a STEM field Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided . Work Model Our people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings. * Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility. * Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership's expectations and the needs of the role. * Onsite: If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Data Scientist, Senior

From $99,000/yr

Job Number: R0250155 Data Scientist, Senior The Opportunity: As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors, from fraud detection to cancer research, to national intelligence, we need you to help find the answers in the data. On our team, you’ll use your leadership skills and data science expertise to create real-world impact. You’ll work closely with clients to understand their questions and needs and then dig into their data-rich environments to find the pieces of their information puzzle. You’ll guide teammates and lead the development of algorithms and systems. You’ll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used. Work with us as we use data science for good. Join us. The world can't wait. You Have: * 5+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining * 5+ years of experience with statistical and general-purpose programming languages for data analysis * 5+ years of experience analyzing structured and unstructured data sources * Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources * Experience leading the development of solutions to complex programs * Experience with Python and SQL * Ability to travel up to 25% of the time * TS/SCI clearance * Bachelor’s degree * DoD 8140 baseline Level II Certification such as Security+, CySA+, or CISSP Certification Nice If You Have: * Experience with multiple intelligence types, including SIGINT, OSINT, ELINT, GEOINT, MASINT, or HUMINT * Experience with Grafana * Experience with geospatial data analysis tools such as Brewlytics, JEMA, or ArcPro * Knowledge of GEOINT collection and associated systems Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided . Work Model Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings. * Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility. * Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility. * Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Senior Data Scientist (f/m/d)

From $200/yr

Purpose of the Role Data sits at the heart of the company. This role ensures that Awin can fully leverage the data available across the group, enabling the development of advanced analytical and machine learning capabilities that support stronger commercial decision-making and enhance products used by client-facing teams. As a Senior Data Scientist, you will apply advanced statistical techniques, machine learning methods, and analytical approaches to solve complex business problems and deliver actionable insights that guide business strategy. Working across areas such as forecasting, recommendation systems, network intelligence, experimentation, and predictive modelling, you will lead the design, development, evaluation, and deployment of scalable solutions that create measurable business impact. You will work closely with business stakeholders, Product, Engineering, and Data teams to identify opportunities, shape problem definitions, and translate business challenges into practical technical solutions. You will be responsible for defining success metrics, establishing evaluation frameworks, and ensuring analytical solutions remain reliable, scalable, and aligned to business objectives. In this role, you will lead the development of end-to-end feature pipelines, models, and MVPs, balancing rapid experimentation with long-term sustainability. You will also provide technical leadership to other data scientists, contribute to best practices across the team, and help foster a collaborative, data-driven culture within the organisation. Key Responsibilities Lead the development and deployment of machine learning, forecasting, recommendation, and analytical solutions that create measurable business impact. Partner with stakeholders across Product, Commercial, Engineering, and Data teams to identify opportunities and translate business challenges into data-driven solutions. Design and implement robust evaluation frameworks, experiments, and success metrics to measure performance and business outcomes. Apply statistical modelling, machine learning, and advanced analytical techniques to solve complex business problems and generate actionable insights. Build scalable feature engineering, model development, and deployment workflows in collaboration with Data Engineering and Software Engineering teams. Drive rapid MVP development, validating ideas quickly while ensuring a path to sustainable production solutions. Define and promote best practices for model development, evaluation, monitoring, and governance. Mentor and support other data scientists, contributing to technical capability and knowledge sharing across the team. Communicate findings, recommendations, and technical concepts clearly to both technical and non-technical audiences. Contribute to the evolution of the Data Science roadmap, identifying new opportunities to apply advanced analytics and machine learning. Experience 5+ years of experience working as a Data Scientist, Machine Learning Engineer, Applied Scientist, or similar role. Proven experience delivering machine learning and analytical solutions from discovery through to deployment and business impact. Advanced proficiency in Python and relevant data science libraries, including NumPy, PySpark, Scikit-learn, TensorFlow, and/or PyTorch. Strong experience using Databricks, including Jobs, Asset Bundles, Delta Lake, and MLflow. Experience working with business stakeholders to define problems, scope solutions, and communicate outcomes effectively. Experience mentoring data scientists or providing technical leadership within a cross-functional team. Bachelor's degree or higher in Statistics, Mathematics, Computer Science, Data Science, Engineering, or a related quantitative discipline. Skills & Core Competencies Strong statistical, analytical, and problem-solving skills, with the ability to turn complex data into actionable business insights. Expertise in machine learning and predictive modelling, with experience delivering solutions in a production environment. Ability to evaluate and refine models using appropriate experimentation, performance metrics, and business outcomes. Strong stakeholder management and communication skills, capable of translating technical concepts for non-technical audiences. Ability to operate independently, navigate ambiguity, and prioritise work to maximise business impact. Experience mentoring and supporting the development of other data scientists. Collaborative mindset with the ability to work effectively across Product, Engineering, Commercial, and Data teams. Our Offer Flexi-Week : We prioritise your mental health and wellbeing by offering you a four-day Flexi-Week (with one lighter or completely disconnected day per week) at full pay, with no reduction to your annual holiday allowance. Flexi-office : We offer an international culture and flexibility through our hybrid/remote working scheme which is designed to foster a culture of mutual trust and working flexibility. Work Expense Contribution & Remote Working Furniture : You will receive a monthly allowance to cover part of your running costs, as well as a furniture package to support you in setting up a comfortable workspace when working from home. Health and Wellbeing : With our support and access to various initiatives and sports offers, you can focus on your mental and physical wellbeing. Development : We’ve built our extensive training suite, Awin Academy, to cover a wide range of skills that support your professional and personal growth, with trainings conveniently packaged to help your overall development. Appreciation : Thank and reward colleagues by sending them a voucher through our peer-to-peer recognition programme. We are hiring in multiple countries for this role. Additional benefits, including health and wellbeing offerings, will be discussed during the initial interview. Established in 2000, Awin is proud of our dynamic, social and inclusive culture. Like all businesses, we’ve had to adapt and nurture our culture in a virtual environment. Our virtual ‘Life @ Awin’ hub brings our colleagues from across the globe together for various social activities. Diversity & Inclusion are paramount to us, and we proudly pursue and hire diverse team members. We champion uniqueness and authenticity; this is who we are at our core. Our network of affiliate partnerships are diverse and transparent, as are the employees powering our vision to build the world’s leading open partner ecosystem. We welcome all backgrounds, identities, and experiences. If you need support at any point in the application or interview process, please let us know. Awin is part of the Axel Springer group. Learn more at axelspringer.com/ en / , and explore the Axel Springer Essentials here: axelspringer.com/en/inside/the-essentials-what-we-have-adapted-and-why Apply now to begin the next stage of your career at a progressive company that supports both your professional and personal development. #LI-RS1 Find Jobs in United Kingdom on Arbeitnow

Senior Data Scientist

Overview Join a genuinely collaborative team whose diverse expertise delivers innovative solutions to complex engineering challenges worldwide. As an experienced data scientist, you will work across the data lifecycle in a fast-paced Agile environment, helping keep people, critical businesses and communication networks connected and secure. The role includes some client-site work, with flexible and remote working options, career development, training and a competitive reward package. The successful candidate will develop insightful, machine learning and data-driven solutions that support defensive cyber operations, mission data exploitation and operational decision-making within a secure national security environment. Working within Agile, multidisciplinary product teams, you will collaborate with Product Owners, Business Analysts, Data Engineers, Data Visualisers and cyber specialists to transform large-scale data into trusted, operationally useful data products. The role requires a strong foundation in data science together with practical experience operating within modern data platforms, MLOps environments and software engineering workflows. Your role Data Science \& Analytics * Design, develop and deploy statistical, insightful, AI and machine learning solutions to solve operational challenges. * Explore large and complex datasets to identify trends, patterns and actionable insights. * Apply appropriate machine learning, predictive analytics and data science techniques to real-world problems. * Develop and evaluate insightful models using robust performance and validation methodologies. * Communicate findings and recommendations clearly to both technical and non-technical stakeholders. * Contribute to development of innovative AI, machine learning and advanced analytics capabilities. Data Product Delivery * Ensure large datasets are managed appropriately across staging, modelling, analytics and presentation layers. * Contribute to the design and delivery of high-quality data products that support Cyber Capability requirements. * Work collaboratively with Product Owners and Business Analysts to translate user needs into insightful solutions. * Support data quality assurance, governance and reproducibility across insightful workflows. Platform \& Engineering * Develop and maintain production-quality Python and SQL code. * Use Git-based source control and branch management practices across multiple deployment environments. * Work with Spark and PySpark to process and analyse large-scale datasets. * Develop and manage machine learning workflows within an MLOps environment. * Use tooling such as MLflow, VS Code or JupyterHub for model development, experimentation and deployment. * Work with technologies to access, manage and analyse data at scale (e.g., Apache Iceberg and Trino). Delivery Excellence * Participate fully in Agile ceremonies including sprint planning, backlog refinement, demonstrations and retrospectives. * Produce high-quality technical documentation and knowledge-sharing materials. * Contribute to continuous improvement of data science and MLOps practices. About you Essential Skills \& Experience * Candidates should typically bring at least three years of relevant professional experience, although applicants with less experience and strong evidence of capability will also be considered. * Strong Python and SQL skills, with experience developing production-quality insightful, statistical, AI and machine-learning solutions. * Experience working with large, complex, structured and unstructured datasets, including data preparation, exploratory analysis, feature engineering and model validation. * Practical experience with Git, Agile delivery and collaborative software-development workflows. * Experience using distributed data-processing and MLOps tools such as Spark, PySpark, MLflow, JupyterHub or equivalent technologies. * Understanding of data-product lifecycles, data quality, governance, reproducibility and auditable insightful workflows. * Ability to translate operational or business needs into insightful solutions and communicate findings clearly to technical and non-technical stakeholders. * Effective collaboration within multidisciplinary teams, supported by strong problem-solving, documentation and critical-thinking skills. Desirable Skills \& Experience * Advanced statistical modelling, experimental design, forecasting, anomaly detection, model optimisation or explainability. * Deployment and operation of machine-learning models, including monitoring, drift detection and performance management. * Awareness of modern lakehouse or enterprise data platforms and technologies such as Trino and Apache Iceberg. * Experience in NLP, large language models, Generative AI, deep learning, graph analytics. * Responsible AI or retrieval-augmented generation. * Delivery of data products or decision-support capabilities in secure, governed or operational environments. * Stakeholder engagement, workshop facilitation and presentation of insightful findings to senior audiences. Personal Attributes * Curious, insightful and outcome-focused, with a commitment to technical excellence and continuous learning. * Collaborative and comfortable working through complexity and ambiguity. * Able to balance innovation with operational reliability, governance and security. * Motivated to deliver data products that create measurable user and mission impact. Qualifications * A degree in data science, computer science, software engineering, mathematics, statistics, physics, engineering or another quantitative discipline, or equivalent professional experience. * Evidence of relevant continuing professional development. * A postgraduate qualification or recognised professional certification in data science, AI, machine learning, data engineering, cloud platforms, Agile delivery, Responsible AI or security is advantageous but not essential. Rewards \& benefits Explore the rewards and benefits that help you thrive – at every stage of your life and your career. Enjoy competitive salaries, employee rewards and a brilliant range of benefits you can tailor to suit your own health, wellbeing, financial and lifestyle choices. Make the most of a myriad of opportunities for training and professional development to grow your skills and expertise. And combine our hybrid working culture and flexible holiday allowances to balance a great job and fulfilling personal life. Rewards and benefits – Careers at AtkinsRéalis. About AtkinsRéalis We're AtkinsRéalis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's'infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. We're committed to leading our clients across our various end markets to engineer a better future for our planet and its people. Additional information Security clearance This role may require security clearance and offers of employment will be dependent on obtaining the relevant level of clearance. If this is necessary, it will be discussed with you at interview. The vetting process is delivered by United Kingdom Security Vetting (UKSV) and may require candidates to provide proof of residency in the UK of 5 years or longer. If applying to this role please do not make reference to (in conversation) or include in your application or CV, details of any current or previously held security clearance. We are committed to creating a culture where everyone feels that they belong - a place where we can all be ourselves, thrive and develop to be the best we can be. So, we offer a range of family friendly, inclusive employment policies, flexible working arrangements and employee resource groups to support all employees. As an Equal Opportunities Employer, we value applications from all backgrounds, cultures and ability. As a Disability Confident Leader, we are committed to offering an interview to all applicants who have a disability and meet the essential criteria. If you would like to be considered under this commitment, please let us know at the application stage. #LI-ADST | #LI-UK | #SGCampaign

Lead Data Scientist

From $55,000/yr

Lead Data Scientist Salary £55,000 - £70,000 (Depending on skills and experience) Are you someone who: Do you have an inquisitive mind? Do you love solving problems or identifying potential opportunities? Do you enjoy finding patterns in data that describe real world scenarios? This role is perfect for someone looking to work with business stakeholders to use data and data science techniques to help make better decisions for our customers and business. The role would suit someone who has a strong grounding in analytical principles and data use, but also enjoys leading change and making a difference to the performance of our business. A bit about the job: An exciting opportunity has arisen to join our high-profile data science team which is helping to shape the future of insurance through cutting-edge analytics. The insurance industry is evolving in an age of rapid technological development, and as an organisation Aviva are investing in strengthening machine learning and analytics as a distinctive capability. The team is recognised as a centre of excellence in our Global Data Science Department – providing new data-driven insights that improve decision making across the Aviva Group. You’ll be working with internal and external stakeholders to understand business problems and then define, scope and deliver solutions utilising the latest data science techniques in conjunction with the wealth of our data assets. You will have license to be creative in researching and designing solutions, leading your team to explore new and innovative ways of generating value from data and presenting findings back to your stakeholders to be actioned. Skills and experience we’re looking for: * Creative thinker/problem solver with strong analytical and numerical ability. * Experience in leading others to solve complex business problems. * Strong communication and interpersonal skills, including the ability to present to non-technical audiences. * Organised self-starter, with drive and commitment. * Relevant experience of solving complex problems using data science, including either statistical modelling or using a programming language such as Python, SQL, R or C++ or similar. What you’ll get for this role: * Salary £55,000 - £70,000 for National based (depending on location, skills, experience, and qualifications) * Bonus opportunity 10% of annual salary - Actual amount depends on your performance and Aviva’s * Generous pension scheme - Aviva will contribute up to 14%, depending on what you put in * 29 days holiday plus bank holidays, and you can choose to buy or sell up to 5 days * Make your money go further - Up to 40% discount on Aviva products, and other retailer discounts * Up to £1,200 of free Aviva shares per year through our Matching Share Plan and share in the success of Aviva with our Save As You Earn scheme * Brilliantly supportive policies including parental and carer’s leave * Flexible benefits to suit you, including sustainability options such as cycle to work * Make a difference, be part of our Aviva Communities and use your 3 paid volunteering days to help others * We take your wellbeing seriously with lots of support and tools Aviva is for everyone: We’re inclusive and welcome everyone – we want applications from all backgrounds and experiences. Excited but not sure you tick every box? Even if you don’t, we would still encourage you to apply. We also consider all forms of flexible working, including part time and job shares. We flex locations, hours and working patterns to suit our customers, business, and you. Most of our people are smart working – spending around 50% of their time in our offices every week - combining the benefits of flexibility, with time together with colleagues. To find out more about working at Aviva take a look here We interview every disabled applicant who meets the minimum criteria for the job. Once you’ve applied, please send us an email stating that you have a disclosed disability, and we’ll interview you. We’d love it if you could submit your application online. If you require an alternative method of applying, please give Harjot Kaur a call on 07353138456 or send an email to harjot.kaur@aviva.com

Senior Data Scientist (Economist)

Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we're unlocking new possibilities as one global team. The Data & Science Org At Deliveroo we have an outstanding data science organisation, with a mission to enable the highest quality human and machine decision-making. We work throughout the company - in product, business and platform teams - using analysis, experimentation, causal inference and machine learning techniques. We are uniquely placed to use data to help make better decisions and improve data literacy across Deliveroo. Data Scientists at Deliveroo report into our data science management team, and we have a highly active data science community, with guest lecturers, study groups, mentorship programmes, a robust technical review process, and plenty of opportunities to learn new things. Data Scientists can equally progress as technical leads (individual contributors) and as people managers. Our data scientists come from all kinds of backgrounds but have excellence in common. Many are formally trained in data science, many are not. We celebrate difference and have a dedicated data science diversity committee. As an Economist at Deliveroo you will help scale our business and improve the experience for restaurants, riders, and eaters. Using experimental or observational data, you will get to help answer questions like: Which markets/cities should we enter next? How can we incentivise good rider behaviour? What is the business impact of exclusive deals we have with restaurants? Can the Delivery food market sustain multiple players? What are the trade-offs we face when choosing between growth and profitability? How should we decide between them? What is the optimum selection and variety of restaurants? What impact do online reviews have? How will a change in the user interface affect customer choice behaviour? The work you will do will have a direct, measurable impact on the bottom line of the company. Requirements: Masters Degree or PhD in Economics or Econometrics (preferred) Always curious and willing to learn new skills A problem solver with a deep analytical mindset Ability to think creatively and insightfully about business-relevant economic problems A critical thinker with very strong attention to detail Proficiency with analytical tools like R/Python and familiarity with SQL Ideally industry experience since the completion of your academic career Excellent people skills — you'll be meeting with stakeholders to translate business needs into economic problems At Deliveroo these are just some of the tough problems we are solving - and there is no challenge that cannot be yours. The scope for growth and personal impact is enormous. Why Deliveroo Our mission is to transform the way you shop and eat, bringing the neighbourhood to your door by connecting consumers, restaurants, shops and riders. We are transforming the way the world eats and shops by making access to food and products more convenient and enjoyable. We give people the opportunity to buy what they want, as they want it, when and where they want it. We are a technology-driven company at the forefront of the most rapidly expanding industry in the world. We are still a small team, making a very large impact, looking to answer some of the most interesting questions out there. We move fast, value autonomy and ownership, and we are always looking for new ideas. Workplace & Benefits At Deliveroo we know that people are the heart of the business and we prioritise their welfare. Benefits differ by country, but we offer many benefits in areas including healthcare, well-being, parental leave, pensions, and generous annual leave allowances, including time off to support a charitable cause of your choice. Benefits are country-specific, please ask your recruiter for more information. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We're committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you'll have the opportunity to let us know once you've submitted your application. We'll share details on how to request support so we can ensure you have a fair and equitable experience. If you're excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we'd love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness . Find Jobs in United Kingdom on Arbeitnow

Senior Data Scientist (Imaging)

About Relation Relation is a sector defining TechBio company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life’s most devastating diseases. We leverage single-cell multi-omics from patient tissue, functional assays, and machine learning to drive disease understanding, from cause to cure. We are scaling rapidly and building a team of exceptional individuals to push the boundaries of drug discovery. You will work in highly interdisciplinary teams where biology, computation, and engineering come together to solve complex problems that have not been solved before. Our state-of-the-art wet and dry labs in the heart of London are designed to accelerate this integration and translate insight into impact. We are committed to building diverse and inclusive teams. Relation is an equal opportunities employer and does not discriminate on the basis of gender, sexual orientation, marital or civil partnership status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. By joining Relation, you will help define how medicines are discovered and deliver meaningful impact for patients. The opportunity Relation is offering an outstanding opportunity for a Senior Data Scientist to help build the next generation of generative and predictive models of cellular behaviour, with a focus on high-content imaging. Your work will be central to our mission to understand and control cellular decision-making, enabling novel therapeutic strategies grounded in generative models. You'll be joining a team with access to cutting-edge multiomic and interventional datasets, advanced computational infrastructure, and deep interdisciplinary expertise, and a culture that embraces modern ML tooling, including agentic workflows, to accelerate research iteration. The role exists to drive imaging data science: curate training-ready imaging datasets, design evaluation that distinguishes biological signal from technical artefact, interpret foundation-model behaviour on cellular imaging, and provide the wet lab interface for the imaging assay teams that generate the data. Day to day, you will Curate training-ready imaging datasets across cell painting and brightfield assays. Drive evaluation design for imaging modalities in close partnership with ML and data scientists. Surface what models learn about cellular morphology, identify failure modes, and feed findings back into modelling decisions. Partner with wet lab assay teams from plate design through to data delivery, ensuring imaging assays remain analytically tractable and yield valuable data. Contribute to multi-modal evaluation: link imaging readouts to single-cell and perturbation data. Communicate methodology and findings clearly and rigorously across the computational team. Track developments in foundation models for biological imaging, and bring relevant advances into our work. Professionally, you will have A PhD (or equivalent industry experience) in computational biology, bioinformatics, computer vision, biomedical engineering, or a closely related discipline. Strong fluency with high-content imaging modalities, including cell painting and brightfield: knowledge of what good data looks like, recognition of common artefacts, and judgement on biological relevance. Working knowledge of deep learning approaches to imaging, sufficient to reason about model behaviour and design appropriate evaluation. Experience designing or contributing to evaluation frameworks for ML models, ideally with imaging or comparable scientific image data. Strong Python data-science stack (numpy, pandas / polars, scikit-learn, PyTorch). Familiarity with terabyte-scale imaging data and standard scientific formats. Strong biological grounding and the ability to partner effectively with wet lab scientists. Bonus experience: familiarity with classical bioimage tooling (CellProfiler, scikit-image, ImageJ / Fiji) for QC reference; large public cell painting datasets; publication record in relevant venues. Personally, you Are comfortable working in a matrixed environment, balancing multiple stakeholders and contributing effectively across teams. Take ownership of your work , proactively seek opportunities to contribute, and enable others to do their best work. Communicate openly and directly , give and receive feedback constructively, and handle challenging conversations with respect. Actively seek out diverse perspectives , build strong working relationships, and contribute to shared goals across teams. Embrace challenges with openness and resilience , set high standards for yourself, and strive to deliver meaningful outcomes. Working Style & Culture at Relation At Relation, we operate in a matrixed, interdisciplinary environment , where impact is driven through collaboration across scientific, technical, and operational domains. We collaborate, and you will partner with colleagues across multiple teams and projects, contributing your expertise while aligning to shared company priorities. We work together and win together! The patient is waiting! Recruitment Agencies Please note that Relation does not accept unsolicited resumes from agencies. Resumes should not be forwarded to our job aliases or employees. Relation will not be liable for any fees associated with unsolicited CVs. Find Jobs in United Kingdom on Arbeitnow

Data Scientist - Machine Learning Specialist

About the Role Our client is actively seeking an innovative and analytical Data Scientist with a specialization in Machine Learning to join their cutting-edge IT & Software team in Paarl, Western Cape . This role is pivotal in leveraging data to drive business insights, develop predictive models, and implement machine learning solutions. You will work with large datasets, employing advanced statistical techniques and ML algorithms to solve complex problems. The ideal candidate possesses a stron…

Data Scientist - Machine Learning Specialist

About the Role Our client, a pioneering firm in the renewable energy sector, is seeking a highly analytical and innovative Data Scientist with a specialization in Machine Learning to join their team in Richards Bay, KwaZulu-Natal. This role is central to uncovering actionable insights from vast datasets, developing predictive models, and driving data-informed decision-making across the organization. You will work on challenging projects, applying advanced statistical and machine learning techni…

Data Scientist

From $77,600/yr

Job Number: R0249703 Data Scientist The Opportunity: As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence (AI). In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors, from fraud detection to cancer research, to national intelligence, we need you to help find the answers in the data. On our team, you’ll use your analytical skills and data science knowledge to create real-world impact. You’ll work closely with your clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You’ll develop algorithms and systems and use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients make informed decisions. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used. Work with us as we use data science for good. Join us. The world can’t wait. You Have: * 2+ years of experience performing quantitative analysis, developing visualizations, and processing complex data to create data-driven insights * Experience with statistical and general-purpose programming languages such as R and Python * Experience developing and deploying data models * Experience analyzing structured and unstructured data sources, including using SQL to conduct complex database queries for extract, transform, and load (ETL) procedures * Experience developing and maintaining scalable data stores that supply big data in forms needed for business analysis * Experience communicating information to an audience with varying technical knowledge * Experience with source control and collaboration software, including Git or Atlassian tools * Knowledge of machine learning, AI, or natural language processing * Ability to obtain a Secret clearance * Bachelor’s degree Nice If You Have: * Experience deploying data workflows and models within platforms such as Palantir Foundry or Gotham * Experience developing web services or web applications using R shiny, Python, and Flask or JavaScript * Experience working with cloud environments, including AWS and Azure, and evaluating architectural tradeoffs and designing robust applications for scalable use * Experience working with LLMs, generative AI systems, or agentic frameworks, including for task automation Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided . Work Model Our people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings. * Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility. * Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership's expectations and the needs of the role. * Onsite: If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Manager, Data Scientist - Alternative Data Strategy

From $179,400/yr

Manager, Data Scientist - Alternative Data Strategy Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The Alternative Data Strategy team drives credit decisioning forward by integrating non-traditional datasets into US Card strategies. As a Data Scientist, you will evaluate emerging vendors and data products, engineer high-impact features, build scalable processing and monitoring systems, and serve as the dedicated data domain expert guiding all users on dataset applications. In this role, you will also navigate risk governance for vendor models and build challenger models using new data to enhance existing ones. The scope involves rich cross-functional collaboration and continuous learning opportunities. Role Description In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love * Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data * Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation * Flex your interpersonal skills to translate the complexity of your work into tangible business goals * This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. The Ideal Candidate is: * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. * Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. * A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: * Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: + A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics + A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics + A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics * At least 1 year of experience leveraging open source programming languages for large scale data analysis * At least 1 year of experience working with machine learning * At least 1 year of experience utilizing relational databases Preferred Qualifications: * PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics * At least 1 year of experience working with AWS * At least 4 years’ experience in Python, Scala, or R for large scale data analysis * At least 4 years’ experience with machine learning * At least 4 years’ experience with SQL Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Chicago, IL: $179,400 - $204,700 for Mgr, Data Science McLean, VA: $197,300 - $225,100 for Mgr, Data Science New York, NY: $215,200 - $245,600 for Mgr, Data Science Richmond, VA: $179,400 - $204,700 for Mgr, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Manager, Data Scientist - Alternative Data Strategy

From $179,400/yr

Manager, Data Scientist - Alternative Data Strategy Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The Alternative Data Strategy team drives credit decisioning forward by integrating non-traditional datasets into US Card strategies. As a Data Scientist, you will evaluate emerging vendors and data products, engineer high-impact features, build scalable processing and monitoring systems, and serve as the dedicated data domain expert guiding all users on dataset applications. In this role, you will also navigate risk governance for vendor models and build challenger models using new data to enhance existing ones. The scope involves rich cross-functional collaboration and continuous learning opportunities. Role Description In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love * Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data * Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation * Flex your interpersonal skills to translate the complexity of your work into tangible business goals * This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. The Ideal Candidate is: * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. * Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. * A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: * Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: + A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics + A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics + A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics * At least 1 year of experience leveraging open source programming languages for large scale data analysis * At least 1 year of experience working with machine learning * At least 1 year of experience utilizing relational databases Preferred Qualifications: * PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics * At least 1 year of experience working with AWS * At least 4 years’ experience in Python, Scala, or R for large scale data analysis * At least 4 years’ experience with machine learning * At least 4 years’ experience with SQL Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Chicago, IL: $179,400 - $204,700 for Mgr, Data Science McLean, VA: $197,300 - $225,100 for Mgr, Data Science New York, NY: $215,200 - $245,600 for Mgr, Data Science Richmond, VA: $179,400 - $204,700 for Mgr, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Specialist, Data Scientist

From $20/yr

*Archer is collaborating with BNY to connect them with exceptional professionals for this role.* We’re seeking a future team member for the role of Senior Specialist, Data Scientist to join our Markets team. This role is located in London. In this role, you’ll make an impact in the following ways: * Lead complex data analysis initiatives using advanced statistical techniques and machine learning models to generate actionable insights that support business strategy and operational efficiency. + Partner with cross-functional teams to design and implement data-driven solutions aligned to organizational priorities and business objectives. + Manage and enhance large datasets while ensuring strong data integrity, accuracy, and adherence to data management and governance best practices. + Develop, maintain, and improve predictive models to forecast business trends and provide data-backed strategic recommendations. + Stay current on industry trends and emerging data science technologies to continuously strengthen analytical approaches and innovation. + Communicate findings clearly and effectively to stakeholders across all levels, translating complex analytical outputs into meaningful business actions. To be successful in this role, we’re seeking the following: * Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field, or the equivalent combination of education and experience required; advanced degree preferred. * Proficiency in programming languages such as Python, or SQL. * Strong analytical and problem-solving skills, with the ability to interpret complex datasets and deliver actionable insights. * Excellent communication skills, with the ability to present data-driven recommendations to both technical and non-technical audiences. At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what is all about. Join us and be part of something extraordinary.

Graduate Data Scientist

About the Role Our client, WhatJobs Direct, is looking for an innovative and driven Graduate Data Scientist to join their pioneering data science team. This is a fully remote position, offering a flexible and dynamic work environment for individuals passionate about machine learning, statistical modeling, and data analysis. You will work on challenging projects, developing predictive models, extracting insights from complex datasets, and contributing to data-driven decision-making. This remote-…

Graduate Data Scientist - Machine Learning

About the Role Our client, a leading analytics firm situated in Rustenburg, North West , is seeking a bright and ambitious Graduate Data Scientist with a strong focus on Machine Learning. This is an exceptional opportunity for a recent graduate to apply theoretical knowledge to solve complex business challenges using data. You will work within a dedicated data science team, contributing to the development and deployment of predictive models, machine learning algorithms, and insightful data anal…

Data Scientist

Job Description Job Title: Data Scientist About The Role The Data Scientist is responsible for applying advanced analytics, statistical modeling, and machine learning techniques to solve business problems and improve outcomes across Humana. This role partners with business, product, engineering, and architecture teams to develop data-driven solutions that support enterprise strategies while aligning to Humana’s data security, governance, and architecture standards. We are seeking a detail-oriented and results-driven Data Scientist . Strong domain knowledge in key practices including data science, advanced analytics, machine learning, data wrangling, feature engineering and more is essential for this role. This role requires strong ability to collaborate with cross-functional teams, identify defects early in the development cycle, and ensure high-quality product delivery. Education: Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, Economics, or related field. Primary Skills * Python * R * SQL * Databricks * Spark Secondary Skills * data science * advanced analytics * machine learning * data wrangling * feature engineering * MLOps * model governance * production model deployment Soft Skills * analytical thinking * problem solving * stakeholder communication * collaboration * documentation discipline * business acumen Responsibilities * Analyze large, complex datasets to identify trends, risks, opportunities, and actionable insights. * Build, validate, and deploy statistical, predictive, and machine learning models. * Translate business problems into analytical approaches and measurable outcomes. * Partner with Data Engineers, Application Architects, Product Managers, and business stakeholders to design scalable analytics solutions. * Develop experiments, forecasting models, segmentation methods, and decision-support tools. * Communicate findings through dashboards, visualizations, presentations, and technical documentation. * Support model monitoring, performance evaluation, and continuous improvement. * Ensure solutions align with enterprise data architecture, reference standards, and approved technology patterns. * Follow Humana policies for information protection, least-privilege access, secure storage, and confidential data handling. * Contribute to reusable analytics assets, standards, and best practices across teams. Requirements * Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, Economics, or related field. * Experience in data science, advanced analytics, or machine learning. * Strong knowledge of: Python and/or R, SQL, Statistics and hypothesis testing, Machine learning methods, Data wrangling and feature engineering. * Experience working with cloud or enterprise analytics platforms. * Ability to communicate technical results to non-technical stakeholders. * Experience working with cross-functional teams in a regulated or enterprise environment. Nice to Have * Master’s or PhD in a quantitative field. * Experience with Databricks, Spark, or large-scale distributed data platforms. * Experience in healthcare, payer, claims, member, provider, or clinical analytics. * Familiarity with MLOps, model governance, and production model deployment. * Experience with BI and visualization tools such as Power BI or Tableau. * Understanding of data architecture, cataloging, and enterprise data standards.

Senior Data Scientist

From $167,000/yr

About the Opportunity A leading global technology, digital entertainment, and subscription platform is seeking a Senior Data Scientist to join a highly visible team focused on understanding customer value, product engagement, commercial performance, and long-term business growth. Positioned at the intersection of Data Science, Finance, Strategy, and Product, the team helps business leaders answer critical questions around where value is created, how investments perform, what drives customer engagement, and how future business outcomes can be optimized through data-driven decision-making. Work produced by this group directly influences portfolio planning, commercial strategy, investment prioritization, product launches, and long-range business planning. Success is measured not only by technical excellence, but also by the ability to drive meaningful business outcomes and influence strategic decisions through data. An ideal fit will be a hands-on Data Scientist who enjoys solving complex business problems, navigating ambiguity, building sophisticated analytical models, and partnering with senior stakeholders. About the Business One of the world's largest digital consumer ecosystems serves hundreds of millions of users through a combination of technology, digital services, subscriptions, content, and entertainment experiences. Data science sits at the center of key business decisions, helping leadership teams understand customer behavior, evaluate investments, forecast future performance, measure commercial impact, and identify opportunities for sustainable growth. Close collaboration with Finance, Strategy, Product, and Platform leaders allows data scientists to directly influence how resources are allocated, which initiatives receive investment, and how long-term value is created for customers and the business. The Role As a Senior Data Scientist, you will serve as a senior individual contributor responsible for developing decision-grade analytical frameworks and modeling solutions that inform major commercial and strategic decisions. A significant portion of the role focuses on understanding customer value, measuring incrementality, forecasting future outcomes, evaluating investment opportunities, and identifying where value is being created or lost across the business. Partnership with stakeholders across Finance, Strategy, and Platform organizations will be essential while independently owning projects from problem definition through model development, stakeholder adoption, and executive-level communication. No direct people management responsibilities are attached to this position. Success will come from remaining highly hands-on while serving as a trusted advisor on critical business decisions. What You Will Be Doing * Design and deliver advanced analytical models that quantify customer value, incremental business impact, and long-term platform performance. * Build forecasting frameworks that support strategic planning, commercial initiatives, investment decisions, and future growth strategies. * Develop optimization and scenario-planning models that help business leaders make informed decisions under real-world constraints and competing priorities. * Measure the impact of product launches, investments, business initiatives, and external market events while isolating true incremental impact from underlying trends. * Apply causal inference methodologies to evaluate business outcomes and establish reliable measurement frameworks that help stakeholders understand what is genuinely driving performance. * Partner with Finance, Strategy, Product, and Platform teams to solve complex business challenges and translate analytical findings into actionable recommendations. * Evaluate and select appropriate modeling approaches while balancing statistical rigor, scalability, interpretability, and business impact. * Communicate complex methodologies, assumptions, insights, and recommendations clearly to both technical and non-technical audiences, including senior leadership teams. * Mentor fellow data scientists and contribute to best practices while maintaining a strong hands-on focus. Required Qualifications * Demonstrated experience delivering business-critical analytical and modeling solutions related to customer value, forecasting, incrementality, investment decisions, portfolio strategy, or commercial performance. * Strong forecasting experience is required. * Experience in at least two of the following areas is required, while expertise across all three is strongly preferred: forecasting, optimization, and causal inference. * Strong understanding of impact measurement methodologies and the ability to distinguish correlation from causation when evaluating business outcomes. * Proven ability to independently own projects from problem definition through implementation, stakeholder alignment, adoption, and measurable business impact. * Experience working with large and complex datasets to develop scalable, trustworthy, and decision-grade analytical solutions. * Exceptional stakeholder management and communication skills, including experience influencing senior business, strategy, finance, or commercial partners. * Advanced proficiency with Python and SQL. * Experience leveraging modern analytics, statistical modeling, and machine learning techniques within commercial environments. Preferred Qualifications * Experience within gaming, subscription-based businesses, streaming platforms, digital media organizations, technology companies, e-commerce businesses, or other large consumer-facing platforms is highly desirable. * Experience supporting portfolio planning, investment analysis, finance functions, commercial strategy, or business performance initiatives is strongly preferred. * Consulting experience involving forecasting, optimization, commercial analytics, strategic modeling, or business transformation programs is particularly attractive. * Experience with PySpark or similar distributed data processing technologies is beneficial. * Exposure to experimentation frameworks, advanced causal inference methods, and impact attribution approaches is viewed favorably. * Success operating within fast-paced, highly collaborative environments where priorities evolve regularly will be advantageous. Education A Master's degree is required. Advanced academic backgrounds in Statistics, Economics, Operations Research, Machine Learning, Data Science, Mathematics, Computer Science, or related quantitative disciplines are strongly preferred. PhD-level education is welcomed but not required. Demonstrated business impact, technical capabilities, and relevant industry experience will carry greater weight than academic pedigree alone. Ideal Backgrounds Successful candidates often come from technology companies, consumer platforms, subscription businesses, entertainment organizations, streaming providers, gaming companies, management consulting firms, and analytics-focused data science teams where forecasting, commercial modeling, optimization, and strategic decision-making are core responsibilities. Working Model A hybrid working model is available for professionals located in either the Los Angeles, California or San Mateo, California markets. Monthly in-person team collaboration sessions typically occur approximately once per month. An in-person final interview in Los Angeles is expected as part of the hiring process, although flexibility may be considered where appropriate. Compensation Los Angeles, CA Base salary range of $167,000 - $250,000 , plus annual bonus eligibility and a comprehensive benefits package. San Mateo / Bay Area, CA Base salary range of $182,000 - $273,000 , plus annual bonus eligibility and a comprehensive benefits package. Additional Compensation Eligible employees participate in an annual bonus program with a target bonus opportunity of 18% in addition to base salary. Work Authorization Candidates must be authorized to work in the United States on a permanent basis both now and in the future. Employer sponsorship is not available for this position. Eligibility is limited to individuals who possess unrestricted and permanent authorization to work in the United States without requiring visa sponsorship, immigration sponsorship, petition support, work authorization extensions, status transfers, or any form of employer-sponsored immigration assistance during employment. Applicants must not require sponsorship now, within the next several years, or at any point during future employment. Eligibility is limited to candidates whose authorization to work in the United States is permanent and does not depend upon future sponsorship, visa renewals, extensions, transfers, status changes, or immigration support of any kind. Situations that typically fall into this category include F-1 OPT, STEM OPT, CPT, H-1B, TN, E-3, O-1, J-1, and other employment-based visa classifications that require present or future employer sponsorship, extension support, renewal support, status transfer support, or immigration assistance. Candidates who anticipate requiring sponsorship in one year, three years, five years, or at any future point during employment will not meet the requirements of this position. U.S. Citizens and U.S. Permanent Residents (Green Card holders) are encouraged to apply. Additional Information A highly analytical and commercially minded Data Scientist will be most successful in this environment. Strong preference will be given to candidates who can demonstrate meaningful experience with forecasting, incrementality measurement, optimization, causal inference, portfolio planning, customer value analysis, and strategic business decision-making. Profiles centered primarily on generative AI, AI research, software engineering, platform engineering, data engineering, or people leadership without recent hands-on analytical modeling experience are unlikely to align with the core requirements of the role.

Data Scientist

Explore exciting data scientist opportunities in Centurion , Gauteng . This role involves analyzing complex datasets, developing predictive models , and extracting actionable insights to drive business decisions. Professionals in this field leverage advanced statistical techniques and machine learning algorithms to solve challenging problems. A strong understanding of programming languages like Python or R, along with database management skills, is crucial. Data scientists in Centurion contribu…

Data Scientist

Data Scientist Location: United States Job Type: Full-Time Work Arrangement: Remote / Hybrid Experience Level: Entry-Level / Associate Job Overview We are seeking a motivated and analytical Data Scientist to help transform business data into meaningful insights and practical solutions. This role will support data analysis, statistical modeling, machine learning, experimentation, and data visualization to help teams make informed decisions. The ideal candidate has a strong foundation in statistics, programming, and data analysis, along with an interest in solving business problems through data. This position is suitable for candidates with academic projects, internships, research experience, or early professional experience in data science, analytics, mathematics, statistics, or computer science. Key Responsibilities * Collect, clean, and prepare structured and unstructured data for analysis. * Analyze large datasets to identify trends, patterns, and relationships. * Develop statistical models and machine learning solutions for business problems. * Perform exploratory data analysis and communicate key findings. * Build and evaluate predictive models using appropriate techniques. * Create data visualizations, dashboards, and reports to communicate insights. * Use Python, SQL, and other analytical tools to process and analyze data. * Work with cross-functional teams to understand business and analytical requirements. * Design and analyze experiments and A/B tests when applicable. * Evaluate model performance and identify opportunities for improvement. * Document analytical methodologies, assumptions, findings, and results. * Assist with feature engineering, model validation, and data preparation. * Monitor data quality and identify potential data issues. * Translate analytical findings into clear business recommendations and presentations. * Support the development and improvement of data pipelines and analytical workflows. * Research new data-science techniques, tools, and technologies. * Contribute to data science projects from initial analysis through implementation. Qualifications * Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field preferred. * Master's degree is a plus but not required for entry-level candidates. * Strong foundation in statistics, probability, and data analysis. * Proficiency in Python or a similar programming language. * Working knowledge of SQL and relational databases. * Familiarity with common data-science and machine-learning concepts. * Strong analytical and problem-solving skills. * Ability to work with large datasets and identify meaningful patterns. * Good communication and presentation skills. * Strong attention to detail and data accuracy. * Ability to work independently and collaborate with cross-functional teams. * Must be legally authorized to work in the United States. Preferred Qualifications * Experience with pandas, NumPy, scikit-learn, or similar Python libraries. * Familiarity with machine-learning algorithms and model evaluation. * Experience with Tableau, Power BI, or other visualization platforms. * Knowledge of cloud data platforms such as AWS, Azure, or Google Cloud. * Familiarity with Jupyter Notebook and Git. * Experience with data warehousing or ETL processes. * Academic, internship, research, or personal data-science projects. * Portfolio or GitHub projects demonstrating analytical or machine-learning work.

Data Scientist

From $12/yr

Join a Globally Recognised and Innovative Brand An exciting opportunity is available with Samsung Electronics Australia, one of the world's most recognised technology brands. Employed by people2people and working closely with Samsung, you'll be part of an innovative and collaborative environment where new ideas are encouraged, achievements are recognised and professional growth is supported. We're seeking a Data Scientist to join the team, on a 12-month fixed-term contract, and help drive ongoing success. What You'll Be Doing * Analyse complex datasets to uncover trends, patterns, anomalies and new commercial opportunities. * Develop and validate statistical, predictive and machine learning models using Python and SQL. * Apply hypothesis testing, A/B testing and advanced analytics to solve complex business challenges. * Leverage Snowflake, dbt, Tableau, Cortex AI and Claude Code to develop innovative analytical solutions. * Translate complex technical findings into compelling insights and recommendations for technical and non-technical stakeholders. * Build automated analytical processes and support secure, reliable and high-quality data pipelines. * Collaborate with global Samsung Ads teams to share insights, best practices and drive data-led decision making. What You'll Bring * Previous experience in Data Science, Analytics or a related quantitative discipline. * Strong SQL and Python capability, with hands-on experience in statistical analysis and modelling. * Degree in Computer Science, Mathematics, Statistics, Economics, Engineering, Physics or a related quantitative discipline. * Strong statistical foundation with experience across predictive modelling, regression, classification, clustering or time-series analysis. * Experience with BI and visualisation tools, ideally Tableau, and cloud data platforms such as Snowflake and dbt. * Strong analytical and problem-solving skills, with the ability to turn complex data into clear commercial insights. * A curious, proactive and adaptable mindset with the confidence to explore new technologies and AI-powered analytics. Why Join Us? This is an opportunity to gain valuable experience within a globally recognised organisation while enjoying the support of both Samsung and the people2people team. In Return, You'll Enjoy * Competitive remuneration * Free onsite parking * Generous employee discounts across the Samsung product range * Wellbeing Initiatives * Barista-made coffee every Monday * Ongoing professional development opportunities * Discounts across 400+ retail partners * Quarterly Connection Events * Exposure to a dynamic, collaborative and high-performing environment If you're looking to take the next step in your career with a leading global brand, we'd love to hear from you! At people2people, Edge Recruitment and Frog Recruitment, we welcome everyone and encourage people to be their authentic selves. If you require reasonable adjustments during the recruitment process, please contact your recruitment consultant so we can support your needs. [#People2people]

Data Scientist, Junior

$62,000 - $141,000/yr

The Opportunity: As a Data Scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artifi cia l intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a Data Scientist at Booz Allen, you can turn these complex data sets into useful information to solve global challenges. Across private and public sectors, from fraud detection to cancer research to national intelligence, we need a seasoned data scientist like you to help find the answers in the data. On our team, you’ll use your leadership skills and data science expertise to create real-world impact. You’ll work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You’ll guide and mentor your team as you oversee the development of algorithms and systems. You’ll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. As a technical leader, you’ll identify new opportunities to use data science solutions to help your clients meet their toughest challenges. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used. Work with us as we use data science for good. Join us. The world can’t wait. You Have: * Experience with data exploration, data cleaning, data analysis, data visualization, or data mining * Experience with statistical and general-purpose programming languages for data analysis * Knowledge of structured and unstructured data sources * Ability to obtain a Secret clearance * Bachelor’s degree Nice If You Have: * Experience with the development of algorithms leveraging R, Python, or SQL and NoSQL * Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $62,000.00 to $141,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided . Work Model Our people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings. * Remote : If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility. * Hybrid : If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership's expectations and the needs of the role. * Onsite : If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Data Scientist - Randburg

About the Role Our client, a leading analytics and consulting firm, is seeking an accomplished Data Scientist to join their innovative team in Randburg. This role is perfect for a strategic thinker with a passion for extracting insights from complex datasets and applying advanced statistical and machine learning techniques to solve real-world business problems. You will work on diverse projects, collaborating with stakeholders across various industries to develop data-driven solutions that info…

Senior Data Scientist - Machine Learning Focus

About the Role Our client, a pioneering data analytics firm, is seeking a highly accomplished Senior Data Scientist with a specialized focus on Machine Learning to join their esteemed team. This is a remote‑first opportunity, allowing you to contribute your expertise from anywhere within Pretoria, Gauteng, ZA (or remotely, as the role is fully remote). You will be instrumental in developing and deploying sophisticated machine learning models that solve complex business challenges and drive data…

Data Scientist (Kaggle/DrivenData) (Remote-Worldwide)

This job is with our partner Micro1. What You’ll Do Build reproducible environments, prepare relevant data and dependencies, and implement reference solutions. Develop tests and evaluation criteria that reliably distinguish correct solutions from incomplete or flawed approaches. Run coding agents against tasks, investigate their failures, and refine the tasks based on observed behavior. Identify implementation errors, flawed assumptions, data leakage, and other issues that affect correctness. Document task requirements, solution reasoning, and verification steps clearly. What We’re Looking For Demonstrated experience in data science, ML, quantitative modeling, or relevant research competitions. (Kaggle, DrivenData, etc.) Strong problem-solving ability and a clear understanding of the methods you use. Practical programming ability sufficient to implement and verify your own solutions. Relevant competition platforms include Kaggle, DrivenData, Zindi, AIcrowd, Numerai, DataSource.ai, and CodaLab/Codabench. Find Jobs in Netherlands on Arbeitnow

Data Scientist

Main Job Function: We will rely on you to build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research. Responsibilities Identify valuable data sources and automate collection processes. Undertake pre-processing of structured and unstructured data. Analyze larg…

Data Scientist

Data Scientist / Senior Data Scientist • Experience with JavaScript and Java. • Experience with time series and dynamical systems. • A portfolio of projects (GitHub, papers, etc.). • Experience with scalable ML (MapReduce, streaming). • Experience in Designing and deploying Machine Learning algorithms for industrial applications such as fraud detection and predictive maintenance. Solution Engineer • Software development experience with JavaScript and Python • Experience with Git or other version control software • Experience working with JavaScript frameworks such as React, Redux, Vue, Backbone, or Angular • Experience deploying software to least one of the leading cloud computing platforms (i.e., GCP, AWS, Azure) • Understanding of SQL and NoSQL databases • Proficiency in data structure and algorithm design and implementation • Proficiency in time-series data analysis, cleansing, and normalization • Working knowledge of Agile software development methodology • Solid understanding of common machine learning techniques, applications, and trade-offs • Domain expertise in one or more of the following industries: Aerospace, Financial Services, Healthcare, Industrial Manufacturing, Oil \& Gas, Public Sector, Power \& Utilities, Supply Chain, Telecommunications

Trading Data Scientist | Quant Hedge Fund

Trading Data Scientist – Systematic Hedge Fund Working with a leading global quantitative investment firm. They are hiring a Trading Data Scientist to join a highly technical team focused on applying advanced data science and statistical techniques to systematic tradinh. This is a hands-on role, working closely with Quantitative Researchers, Traders and Engineers to analyse large-scale datasets, identify patterns in trading behaviour and develop data-driven solutions to improve trading performance. The scope includes statistical modelling, machine learning, trading analytics, execution optimisation and building scalable Python-based research and analytical tools. They're looking for individuals with strong Python, SQL and statistical expertise, alongside experience working with complex datasets and solving commercially relevant problems. Experience in quantitative finance, trading or similarly data-intensive environments would be beneficial. There's significant ownership and the opportunity to work on challenging problems with a direct impact on trading strategies and investment performance. Please apply for more information.

Fraud Analytics - Data Scientist

Join Barclays as a Data Scientist, where you’ll lead the evolution of our digital landscape, driving innovation and operational excellence. In this role, you will apply advanced data analytics and machine learning techniques to extract valuable insights from the bank's data reserves. These insights will be used within our fraud detection systems to detect and deter fraudsters and in doing so protect our clients. Your expertise will be pivotal to ensuring the ongoing delivery of our analytics optimisation services. To be successful as a Data Scientist, you will need the following: * Proficiency in SQL, SAS, Python, or similar programming languages. * Strong knowledge of fraud detection systems. * Hands-on experience working with large and complex data sets. Some Other Highly Valued Skills May Include * A background in statistics or mathematics, with fraud experience. * Familiarity with BB Plc businesses. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills. The successful candidate can either be based in Glasgow or Northampton Purpose of the role To use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation. Accountabilities * Identification, collection, extraction of data from various sources, including internal and external sources. * Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis. * Development and maintenance of efficient data pipelines for automated data acquisition and processing. * Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data. * Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities. * Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science. Assistant Vice President Expectations * To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. * Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes * If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. * OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. * Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. * Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. * Take ownership for managing risk and strengthening controls in relation to the work done. * Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. * Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. * Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. * Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience. * Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Senior Risk Data Scientist

From $60,000/yr

Senior Data Scientist London (Hybrid) | £60,000 to £90,000 This is an exciting opportunity to join a fast-growing fintech business where data science sits at the heart of commercial decision-making. You'll work on high-impact machine learning solutions that directly influence lending, risk, and business performance while collaborating with a highly skilled, data-driven team. The Company Our client is a high-growth financial technology organisation delivering innovative embedded finance solutions to businesses across multiple international markets. They have built a strong reputation for combining advanced technology with data-led decision-making. With ambitious growth plans and a collaborative culture, they offer an environment where data professionals can make a visible impact. The Role As a Senior Data Scientist, you will play a key role in developing machine learning and predictive analytics solutions that support critical business and risk decisions. Responsibilities include: * Analysing large and complex datasets to identify trends, patterns, and actionable insights. * Building and deploying machine learning models to support forecasting, risk assessment, fraud detection, and customer outcomes. * Developing predictive models that drive commercial and operational decision-making. * Creating dashboards and visualisations to communicate findings to technical and non-technical stakeholders. * Partnering with product, engineering, and commercial teams to embed data-driven solutions into products and processes. * Working closely with data engineering teams to optimise data infrastructure and analytical workflows. * Supporting best practices across machine learning operations and model lifecycle management. Your Skills \& Experience * Strong commercial experience as a Data Scientist within a data-rich environment. * Advanced Python and SQL skills for analysis, modelling, and data manipulation. * Hands-on experience developing and deploying machine learning models. * Strong understanding of predictive analytics and statistical modelling techniques. * Experience translating complex analytical findings into clear business recommendations. * Ability to work effectively with cross-functional stakeholders across technical and non-technical teams. * Experience working with financial, lending, payments, or transactional data is advantageous. * Strong problem-solving skills and the ability to navigate ambiguity in a fast-paced environment. How to Apply If you're interested in applying advanced machine learning and data science techniques within a fast-growing fintech environment, please submit your CV for immediate consideration.

Data Scientist

We are hiring for a Data Scientist Location: Glasgow – Hybrid (2–3 days onsite per week) * Strong experience in Data Science, Machine Learning, and Advanced Analytics. * Hands-on expertise in Python or R, Pandas, NumPy, and Scikit-learn. * Strong knowledge of statistics, predictive modelling, and feature engineering. * Experience with SQL, large datasets, and cloud platforms (AWS, Azure, or GCP). * Banking or financial services experience, with an understanding of MLOps, model deployment, and monitoring.

Data Scientist (m/f/x)

From $189/yr

At Daiichi Sankyo, we are united by a single purpose, to improve lives around the world through innovative medicines. With a legacy of innovation since 1899, a presence in more than 30 countries, and more than 19,000 employees, we are advancing breakthrough therapies in oncology, cardiovascular disease, rare diseases, and immune disorders. Guided by our 2030 vision to "be an innovative global healthcare company contributing to the sustainable development of society", we are shaping a healthier, more hopeful future for patients, their families, and society. Purpose of the function Join our interdisciplinary Technology Intelligence team to drive digital transformation across (bio-)pharmaceutical development and manufacturing. We are looking for a passionate Data Scientist (m/f/x) who can build scalable, production-grade Modeling, Simulation (M\&S) solutions using data-driven methods, machine learning, and generative AI. You will work directly with multi-disciplinary teams including scientists, engineers, and corresponding global partners to solve high-impact challenges that accelerate product development and manufacturing excellence. Roles and Responsibilities * Data-Driven Insights: Analyze and interpret development and manufacturing datasets to identify trends, patterns, and anomalies, and translate them into actionable insights for pharmaceutical scientists * Modeling \& Simulation: Develop and implement digital models and digital twins through mathematical models and generative AI to simulate pharmaceutical (bio-)processes, predict outcomes, and optimize workflows across early development, scale-up, and manufacturing.- * Collaborative Innovation: Communicate effectively with scientific and business stakeholders from diverse backgrounds to translate complex requirements into end-user-tailored, technology-driven solutions with intuitive, advanced visualizations * Data Management: Design and maintain high-quality Python-based data and model pipelines, ensuring robust data management practices for structured and unstructured data (e.g., Excel, SQL, SAP, process historians, batch records, simulation results) * Innovate \& Scale: Listen to operational needs, translate them into technology-driven opportunities with clear business value, and lead the delivery of scalable digital solutions across development labs, manufacturing sites, and supply chain organizations keeping Daiichi Sankyo at the cutting edge of Industry 4.0 * Continuous Improvement: Continuously learn and apply state-of-the-art technologies and approaches in data science, machine learning, and generative AI. Act as a driver of continuous improvement for M\&S capabilities within the function * Mentorship: Guide and mentor junior team members, fostering a culture of learning, collaboration, and innovation Personal Skills And Professional Experience * Modeling and Simulation Expertise: Strong background in statistics and mathematical modeling including Bayesian optimization (BoTorch, Optuna), uncertainty quantification, machine learning (scikit-learn, Pyro, Stan), and scientific computing * Expert knowledge of Python and Git, with optional familiarity with R or Julia. Experience working with cloud and data platforms (Azure, GCP, AWS, Snowflake), SQL, and developing dashboards or lightweight applications using Power BI, Tableau, Python frameworks (e.g., Dash, Streamlit), or JavaScript * Proactive problem-solver with strong analytical skills and a passion for science and technology, supported by a track record of working effectively in international and cross-functional global teams * Fluent in English (German is a plus), with the ability to communicate complex technical concepts to non-experts * Advanced Methods (Bonus): In-depth experience with physics-based modeling (CFD, molecular modeling/dynamics), mechanistic modeling and/or generative-AI-based solutions * Experience with tools such as OpenFOAM, gProms, Modelica, GROMACS, AMBER, LBM solvers, Schrödinger, or MoE is highly valued * Open-minded and communicative team player * Independent and results-oriented approach to work * High degree of customer and service orientation * Master (e.g. chartered) Master’s or PhD in Data Science, (Bio/Chemical) Engineering, Physics, Applied Mathematics, or another quantitative discipline relevant to (bio-)pharmaceutical development * Several years of experience in an industrial environment in the areas of responsibility described above required Why work with us? Working at Daiichi Sankyo is more than just a job – it is your chance to make a difference and change patients’ lives for the better. We can only achieve this ambitious goal together. That is why we foster a culture of mutual respect and continuous learning, with a strong commitment to inclusion and diversity. Here, you will have the opportunity to grow, think boldly, and contribute your ideas. If you have a proactive mindset and passion for addressing the needs of patients, we eagerly await your application.

Senior Data Scientist, Forecasting & Elasticity (m/f/x) Freelance

From $500/yr

Ready to become part of the most important mission on this planet? We are rebuy, pioneers in the sustainable reuse of electronics and media, and we are looking for you! Our mission: to make circular living accessible to all, one transaction at a time. By giving products a second chance, we reduce resource consumption and avoid unnecessary e-waste. Our global team of 500 drives things forward collaboratively, takes personal responsibility, values constructive critical thinking, and is dedicated to serving our customers and planet. The Role We are looking for a Freelance Senior Data Scientist to join our Data Science \& Analytics team. You will own the forecasting and price elasticity models at the core of rebuy's pricing engine models that directly shape commercial decisions across the business. We care about outcomes, not just predictions: the work you do ships and moves the numbers that matter. We're scaling our impact significantly and need your expertise to take these models further. You'll own the full end-to-end lifecycle: from business context and model research to automated pipelines and retraining, working closely with senior leadership to translate model insights into commercial strategy. Aufgaben * Own the end-to-end forecasting and price-elasticity models at the core of our pricing engine — from feature and model research through evaluation, deployment, and continuous monitoring * Scale the forecasting architecture to meet growing demand for granular, product-level forecasts * Design and run pricing experiments and A/B tests, and turn the results into clear, strategic recommendations for leadership * Generate commercial insights through deep-dive analyses of pricing elasticity, customer behavior, market dynamics, and competitive positioning * Partner with senior stakeholders across Commercial, Marketing, Product, and Operations to surface opportunities and solve complex business problems * Establish best practices for analytics, experimentation, commercial decision-making, and AI usage — and automate the reporting that keeps models and decisions visible Profil * 5+ years in a Data Science role , ideally in e-commerce or marketplace environments, solving a range of real business problems (we care about what you've built, not your exact title or tenure) * A quantitative degree in Machine Learning, Computer Science, Mathematics, Physics, or a related field * Strong foundations in statistics, predictive modeling, and machine learning, with hands-on Python and SQL * Hands-on experience with time series forecasting — modeling, feature engineering, and evaluation * Experience designing and running A/B tests and experiments with measurable business impact * A proactive, self-starting mindset — you own a domain end-to-end and care about pricing, forecasting, and e-commerce dynamics * Strong stakeholder management and comfort presenting to and influencing senior leadership Preferred: * You use AI tools daily to work faster and push what's possible * Knowledge of causal inference methods and advanced experimental design * Familiarity with data visualization tools (e.g., Tableau, Looker, Power BI) * Experience in sustainability-focused or circular economy businesses Wir bieten Purpose, a great company culture and incredible benefits - what to expect at rebuy: * Work with a friendly team that is passionate about circularity and wants to make the world a little more sustainable, one transaction at a time. * Feel comfortable in an environment where independence and new ideas are welcome. * Benefit from flat hierarchies and the greatest possible transparency so that things don't take longer than they have to and you always feel well informed. * Enjoy our centrally located office in Berlin (Erkelenzdamm 11 - 13, 10999 Berlin). * Benefit from our family-friendly, flexible environment and paid child sick leave. * Bring your dog to the office: we love animals and want to cuddle yours, too! * Use employee discounts on rebuy.de, sustainable products at Futurebens, offers for sustainable micro-mobility and massages directly in our office. * Have fun at our legendary team and company events. * Use our mental health offers as part of a cooperation with Nilo. * Take care of your work-life balance with 30 vacation days. * Stay active with our own gym located directly in the building, making it easy to fit workouts into your daily routine. * Benefit from an on-site daycare in the building, supporting a truly family friendly and flexible working environment. Important note Please be advised that a valid work permit for Germany is required for non-EU citizens. Unfortunately, applications without a valid work permit and sufficient German language skills may not be considered. LNKD1_DE

Data Scientist - AI & Experimentation

From $42,000/yr

Accountabilities: You will lead data science initiatives from problem definition and modeling through experimentation, deployment, and performance monitoring. Your responsibilities will include: Develop, validate, and deploy statistical and predictive models that inform pricing, job matching, and growth decisions. Build and improve LLM-powered product features, including Retrieval-Augmented Generation (RAG) pipelines and applications of emerging AI technologies. Design prompt engineering and evaluation workflows to assess AI output quality, monitor reliability, and identify performance regressions before they affect users. Translate business questions into testable hypotheses and design experiments, including A/B tests, that support clear, evidence-based decisions. Analyze conversion funnels and user journeys to identify drop-off points, uncover friction, and improve matching between healthcare professionals and employers. Partner with performance marketing teams to optimize audience targeting, attribution, and campaign efficiency. Define meaningful key performance indicators (KPIs) and build dashboards and monitoring systems using tools such as AWS QuickSight. Track model performance, experiment outcomes, and business impact to ensure data initiatives deliver measurable results. Document projects, prioritize tasks, and communicate progress transparently through Jira and other collaborative workflows. Present findings and actionable recommendations to stakeholders across product, engineering, and marketing. Follow through on recommendations to support implementation and measure their impact after deployment. Requirements: The ideal candidate combines strong statistical foundations with practical machine learning and modern AI experience. You should be comfortable working independently with data, selecting appropriate analytical methods, and translating technical results into business decisions. The key qualifications include: Strong knowledge of statistics, including the ability to select appropriate methods, justify assumptions, and interpret results critically. Advanced proficiency in Python, particularly pandas, scikit-learn, and NumPy, as well as strong SQL skills. Demonstrated experience applying statistical analysis and data science techniques to real-world business problems. Hands-on experience taking machine learning models and modern AI solutions from initial concept through implementation and practical use. Practical experience with LLMs and RAG systems in production or near-production environments, including prompt engineering, retrieval quality, and output evaluation. Solid understanding of A/B testing, including sample size estimation, statistical significance, common experimental pitfalls, and situations where experimentation may not be appropriate. Working knowledge of performance marketing metrics and concepts, including Customer Acquisition Cost (CAC), Return on Ad Spend (ROAS), and marketing attribution. Project experience in at least one of the following areas: anomaly detection, trend analysis, marketing mix modeling, or multi-touch attribution. Experience in e-commerce, online marketplaces, or other platform-based businesses, ideally involving supply-and-demand dynamics. Strong analytical thinking, problem-solving abilities, and attention to data quality. Ability to communicate complex findings clearly, make practical recommendations, and collaborate effectively with cross-functional stakeholders. Experience documenting work, managing priorities, and tracking projects using Jira or similar tools. A degree in mathematics, statistics, physics, computer science, or another quantitative discipline is an advantage. Benefits: Annual salary ranging from €42,000 to €75,000. Permanent employment opportunity. Remote work arrangement, with a home-office option. Flat organizational structure, short decision-making processes, and a start-up mindset. Open and collaborative company culture with supportive, communicative colleagues. Regular feedback conversations to encourage professional development. Access to a centrally located office in Berlin-Mitte, with an open-plan working environment. Complimentary drinks at the office. Opportunity to work on practical AI, machine learning, and experimentation projects with a direct impact on product and business performance. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1

Data Scientist

$100,000 - $120,000/yr

Experience Aviva ==================== Together, we are Aviva. Our values — Care, Commitment, Community, and Confidence — guide how we show up for each other and for our customers. Individually, they’re words. Together, they define who we are. At Aviva Canada, we put people first, our employees, our customers, and our communities. We’re proud of a culture built on care, inclusion, and collaboration, where your voice matters and your growth is supported. We’re not just about insurance; we’re about making a real difference by protecting what matters most. The Opportunity =================== Join a team of data scientists and engineers using advanced analytics and machine learning to solve real business challenges. As part of the Commercial Auto Data Science team , you'll build models and data-driven solutions that improve customer experiences, support business decisions, and drive innovation across the organization. As a Data Scientist , you'll contribute to the full model lifecycle, from ideation and development through deployment, monitoring, and continuous improvement. You'll work on high-impact initiatives such as claims prediction, customer journey optimization, pricing insights, and automation, partnering closely with business and technology teams. Supported by experienced colleagues and mentorship, you'll have opportunities to grow your technical expertise while applying cutting-edge tools and techniques to projects that impact millions of customers. As the insurance industry continues to evolve, you'll help shape the future of data science and innovation at Aviva. What you’ll do: =================== * Transformation of sophisticated datasets into meaningful conclusions \& recommendations. * Develop innovative solutions for pattern recognition using machine learning and statistical approaches. * Partner closely with Pricing and work on the data science projects end-to-end for Commercial Auto Pricing, from project planning through data processing, model training, model acceptance, and post implementation monitoring. * Contribute to modelling best practices and improve the quality and reproducibility of the team’s work. * Maintenance of a growing set of data mining tools, frameworks \& approaches * Communicate practical recommendations based on insights/model results. * Support model monitoring and validation, including identifying performance deterioration, portfolio shifts, and emerging segment behavior. What you’ll bring: ====================== * An educational background in computer science or engineering, math, statistics, physics or a related field. A minimum of an MSc is required, and PhD is preferred. * 3+ years of experience with model development and working with large datasets. This can include experience from any industry or academia (post-doc experience). * 3+ programming experience in Python with a good grasp of software engineering standard methodologies such as code-reusability, modularity, use of reports, etc. What makes you stand out: ============================= * Experience with Snowflake. * A growth mindset with versatile skills and ability to work through problems from first principles. * A portfolio of projects that demonstrate your ability to draw inferences from data. This includes participation within the broader data science community, including Kaggle competitions or any personal projects with open data. * A can-do teammate willing to roll up their sleeves and do whatever is needed to move projects forward. That means, at times you will wear different hats and be a project manager, developer, modeler and chief communicator of solutions. * Outstanding communication skills and ability to translate and communicate complex algorithms to non-technical individuals. Someone who understands that it is not enough just to have a phenomenal algorithm but meaningful to build an agreement for the solution from different partners. * The best problems in the industry are yet to be articulated. We need someone who is creative, self-motivated and can lead projects independently. What you’ll get: ==================== * The salary band for this position ranges from $100,000 to $120,000 . Please note that individual salary is determined by factors such as job-related knowledge, skills and experience, as well as internal equity. * Compelling rewards package including base compensation, eligibility for annual bonus, retirement savings, share plan, health benefits, personal wellness, and volunteer opportunities. * Hybrid flexible work model. * Outstanding career development opportunities. * We’ll support your professional development education. * Competitive vacation package with the option to purchase 5 extra days off per year. * Employee-driven programs focused on gender, LGBTQ+, origins, diversity, and inclusion. * Corporate wellness programs to support our employees’ physical and mental health. * Employee discount on home and auto insurance (where applicable). This job advertisement is for an existing vacancy which has been posted both internally \& externally. Aviva Canada may use AI (Artificial Intelligence) tools to assist us throughout the recruitment process to screen, assess or select applicants for a position. Aviva Canada welcomes applications from all qualified individuals and has a process in place to provide accommodations for persons with disabilities at all stages of the hiring process and during employment. If you require an accommodation during the interview or hiring process, please contact your Aviva Talent Acquisition Partner so that an appropriate accommodation can be arranged. #LI-Hybrid #LI-MH1

Senior Data Scientist I

From $432/yr

Category Technology Job Id 432673 Req Id: 432673 Connection is everything. It drives us to innovate, explore, and stay close to what matters to us most. At Bell, we’re building a more connected future through world-class networks, AI-powered solutions, and digital experiences that elevate how people live, work, and play every day. We believe in empowering people. That’s why we equip our teams with cutting-edge technology, AI tools, and a collaborative environment that supports creativity and growth. Want to be part of a diverse team where your work makes a real impact? If you’re inspired by innovation that advances how people connect and transforms what’s possible, you belong on #TeamBell. Be at the forefront of shaping the best digital connections and next-generation technology in Canada. You’ll join the largest, award-winning, high-tech team in our country, working with the brightest minds across many industries. Bring your ideas and skills as we grow cutting-edge fibre and 5G networks, develop advanced products and services to run on these networks and then enable the delivery of content from our top media properties and services – ensuring that our customers can stay entertained and connected anytime, anywhere. Summary If you love... * Predictive Modeling \& Machine Learning: Building and deploying sophisticated models to forecast network demand, predict failures, and optimize performance. * Advanced Analytics \& Statistical Modeling: Applying rigorous statistical methods to uncover hidden patterns and insights from vast, complex datasets. * Data Storytelling \& Visualization: Transforming complex analytical results into compelling narratives and clear visualizations that drive business decisions. * Solving Business Problems with Data: Starting with a business challenge and leveraging data-driven approaches to formulate, test, and deploy a solution. * Google Cloud Platform (GCP): Utilizing cutting-edge GCP services like Vertex AI, BigQuery ML, and Looker to build and scale powerful analytical solutions. Key Responsibilities * Develop and Deploy ML Models: Design, build, and operationalize machine learning models that directly impact the reliability and efficiency of Bell’s network. * Translate Data into Business Strategy: Work with stakeholders to understand their challenges and provide actionable insights that shape network strategy and investment. * Mentor and Lead: Guide junior data scientists, establish best practices for modeling and analysis, and foster a culture of data-driven curiosity. * Uncover Insights from Complex Datasets: Dive deep into high-dimensional network telemetry to solve ambiguous problems and discover new opportunities for optimization. * Drive Real Impact: See your work directly improve the experience of millions of Canadians by making the country’s largest telecommunications network smarter and more reliable. Critical Qualifications * The Experience: A seasoned practitioner with 5+ years of dedicated Data Science experience, backed by a degree in Statistics, Mathematics, Computer Science, or a related quantitative field. * The Cloud Capability: Extensive hands-on knowledge of Google Cloud Platform (GCP); holding a GCP Professional Machine Learning Engineer certification is a massive bonus! * The Tech Stack: Strong proficiency in Python , SQL, and hands-on experience with machine learning libraries. * The Agile Mindset: Someone who thrives in a fast-paced, collaborative agile environment and values delivering high-quality business outcomes as a team. * The Leadership Attitude: A strategic, proactive thinker who communicates complex analytical concepts clearly, experiments fearlessly, and always seeks to elevate the team. * The Communication: Maintaining professional relationships with French \& English speaking stakeholders across Canada is critical to this position. Adequate knowledge of French is required for positions in Quebec. Additional Information: Position Type: Management Job Status: Regular - Full Time Job Location: Canada : Ontario : Toronto || Canada : Quebec : Montreal Work Arrangement: Hybrid Application Deadline: 10/19/2026 For work arrangements that are ‘Hybrid’, successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week. Recognizing the importance of work-life balance, Bell offers flexibility in work hours based on the business needs. Please apply directly online to be considered for this role. Applications through email will not be accepted. We know that caring for our team members is at the heart of a healthy, positive and thriving workplace. As part of our team, you’ll enjoy a comprehensive compensation package that includes a competitive salary and a wide range of benefits to support the well-being of you and your family. As soon as you join us, you'll be eligible for medical, dental, vision and mental health benefits that you can tailor to your specific needs. Plus, as a Bell team member, you'll enjoy a 35% discount on our services and access exclusive offers from our partners. At Bell, we are proud of our focus on fostering an inclusive and accessible workplace where all team members feel valued, respected, supported, and that they belong. Bell is committed to clarity in our hiring process. All roles posted are opportunities we’re actively recruiting for, unless stated otherwise. We also want to make sure that everyone has an equal opportunity to join our team. We encourage individuals who may require accommodations during the hiring process to let us know. For a confidential inquiry, email your recruiter or recruitment@bell.ca to make arrangements. If you have questions or feedback regarding accessibility at Bell, we invite you to complete the Accessibility feedback form or visit our Accessibility page for other ways to contact us. Artificial intelligence may be used to assess parts of your application. Please review our privacy policy (see Phenom for details) to learn more about how we collect, use, and disclose your personal information. Created: Canada, ON, Toronto Bell, one of Canada's Top 100 Employers.

Data Scientist / Data Engineer

From $202/yr

About Nucs AI Nucs AI is revolutionizing cancer care through cutting-edge AI and medical imaging technology. Founded in 2024 by a multidisciplinary team of oncologists, AI researchers, and healthcare innovators, we’re tackling one of medicine’s most pressing challenges: the growing demand for accurate, timely cancer diagnostics in the face of rising scan volumes and limited radiologist capacity. We sit at the intersection of diagnostics and treatment planning - building AI-powered tools at the convergence of medical imaging, radioligand therapy, and artificial intelligence. Starting with prostate cancer and expanding across oncology, we partner with world-leading medical institutions and pharmaceutical companies across the US, Europe, and Australia to bring precision oncology into everyday clinical practice. Our mission is to enhance diagnostic precision and expand access to expert-level cancer care, improving patient outcomes worldwide. We’re venture-backed, early-stage, and building a team that blends deep clinical expertise with engineering intensity - moving with the rigor the medical field demands and the speed the problem deserves. What you'll do Build auditable data pipelines for large clinical, diagnostic, and medical imaging datasets in the cloud. Own statistical analysis across clinical studies, diagnostic performance, model evaluation, and data quality. Apply classical machine learning and deep learning methods to data analysis problems. Automated ontology induction from medical documents using large language models. Build dashboards and data observability tooling. Maintain strong data lineage, provenance, traceability, and reproducibility across data workflows. Produce analyses and supporting evidence that hold up in regulatory submissions and audits. What we're looking for A master's degree or PhD in computer science, data science, engineering, mathematics, statistics, physics, economics or a related discipline 3+ years of hands-on experience in data engineering or a closely related field, with demonstrated development of production-grade data solutions Proficiency in SQL and Python and software-development standards such as Git-based workflows, automated testing, code reviews and CI/CD Comfort working with medical imaging formats including DICOM and NIfTI. Practical experience with classical machine learning and explainable ML. Working fluency with deep learning and modern LLM tooling. Experience with cloud data infrastructure. We use GCP, but equivalent platforms are fine. A strong working understanding of data lineage, provenance, traceability, and reproducibility. Unusual attention to detail around data completeness, validity, consistency, and edge cases. Flexibility at adapting to new technologies Awareness of good software practices Strongly preferred Experience with medical imaging -clinical trials, pharmaceutical, healthcare or another regulated industry is an advantage Experience with knowledge graphs / temporal knowledge graphs Experience producing statistical analyses or technical evidence used in a regulatory submission. Experience with model interpretability techniques such as SHAP. Why Nucs AI Mission with real impact – Your work directly improves how cancer patients are diagnosed and treated. Ground-floor opportunity – Early-stage company, meaningful equity, and outsized influence on the direction we take. World-class collaborators – Work alongside leading oncologists, nuclear medicine physicians, and AI researchers globally. Massive market tailwinds – Radioligand therapy and AI-driven oncology are multi-billion dollar growth markets. Autonomy and flexibility – Remote-first, flexible working. We hire great people and trust them to deliver. Equity upside – Competitive equity package. We’re building something big and want you to share in it. How to Apply Submit your resume and a brief note on why this role and Nucs AI excite you. Equal Opportunity Nucs AI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all team members. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Find Jobs in Germany on Arbeitnow

Data Scientist / Data Analyst (m/f/d)

From $40/yr

Starting immediately, full-time with 40 hours peer week Basler is an international leader and experienced expert in computer vision. We offer a broad portfolio of vision hardware and software as well as customer-specific products and solutions. We employ about 850 people at our headquarters in Ahrensburg, Germany, as well as other sales and development locations throughout Europe, Asia, and North America. Key factors in our more than 35-year success story include the courage to take risks, the willingness to see constant change as normal and the passion to pursue customer-oriented innovations. Data Scientist / Data Analyst (m/f/d) Aufgaben * Develop automated reporting solutions to support financial controlling and provide business insights. * Build and maintain data models integrating SAP (SAP R/3, SAP S/4HANA, SAP BW), Salesforce, and other data sources. * Connect subsidiaries using non-SAP systems through tailored data pipelines and coordinate international projects. * Design and implement automated ETL processes in SAP Datasphere. * Create dashboards and calculations in SAP Analytics Cloud and develop SQL-based solutions in SAP Datasphere. * Analyse business results and prepare reports and ad hoc analyses. * Reconcile data, investigate variances, and ensure consistent reporting across systems. * Continuously optimise reporting tools, processes, and data models. * Maintain, troubleshoot, and continuously optimise reporting tools, processes, and data and calculation models. Profil * Experience developing BI solutions and data models for finance and / or controlling, including star schema modelling, measure definition, and data normalisation * Familiarity with finance and controlling data from ERP systems * Strong SQL skills * Hands-on experience with SAP Datasphere and SAP Analytics Cloud; familiarity with SAP BW, SAP S/4HANA, and Salesforce * Experience building data pipelines and ETL processes, reconciling data across systems, and improving data quality * Ability to explain analytical findings clearly to finance and business stakeholders * Experience coordinating projects with international teams * Very good command of German, both written and spoken * Professional proficiency in English Wir bieten * We have a clear vision of the direction we want to take, but it is up to the individual teams to decide how they get there. * We welcome your fresh outside perspective and foster an open culture in which everyone is encouraged to contribute their ideas. * " Work-life balance " is not just an empty phrase at Basler: we support our employees in their roles as family carers and have been recognized for our commitment through the "berufundfamilie" audit. * Respect for our staff members' personal interests and reconciling these with their professional lives is an important part of our corporate culture. * Hybrid workplace – mix of working in the office and mobile/remote working. * First-class IT equipment including notebook and modern working environment . * Attractive remuneration with internal wage transparency, flextime account for overtime reduction, 30 days of paid vacation , and open communication: on first-name terms from trainee to board member. Important note Please be advised that a valid work permit for Germany is required for non-EU citizens. Unfortunately, applications without a valid work permit and sufficient German language skills may not be considered. LNKD1_DE

Data Scientist (Time Series Forecasting)

Accountabilities: Time Series Forecasting: Design, develop, and refine forecasting models for weather conditions, energy market prices, and electricity grid supply and demand. Production Model Development: Translate forecasting algorithms and analytical models into robust, scalable, production-ready code that integrates with and powers a live energy trading platform. Data Analysis & Model Optimization: Analyze relevant datasets, identify patterns and trends, and improve forecasting accuracy to support reliable, data-driven trading decisions. AI-Assisted Development: Incorporate agentic coding tools into daily development workflows to accelerate implementation, improve productivity, and support efficient software development. Technical Integration: Work with data pipelines, analytical systems, and production environments to ensure forecasting solutions are reliable, maintainable, and suitable for operational use. Cross-Functional Collaboration: Communicate technical findings, explain forecasting approaches, and collaborate effectively with distributed teams to align model development with business and platform requirements. Requirements: Educational Background: Bachelor's degree or higher in Mathematics, Econometrics, Physics, Engineering, or another closely related quantitative discipline. Professional Experience: At least three years of relevant professional experience in data science, quantitative analysis, forecasting, or a related field. Time Series Forecasting Expertise: Demonstrated experience developing and applying time series forecasting models, with the ability to translate quantitative methods into practical solutions. Programming Skills: Strong proficiency in Python and SQL for data analysis, model development, and production implementation. Experience with Go is considered an advantage. Agentic Coding Tools: Regular, hands-on use of agentic coding tools as part of your daily development workflow, with the ability to integrate AI-assisted techniques effectively into software development. Communication Skills: Excellent English communication skills, including the ability to explain technical concepts clearly and collaborate with stakeholders in a remote, international environment. Analytical & Problem-Solving Abilities: Strong quantitative reasoning, attention to detail, and a practical approach to addressing complex forecasting challenges and improving model performance. Preferred Industry Knowledge: Experience working with energy markets, electricity trading, power grid data, or weather datasets is a plus. Benefits: Fully Remote Work: Work remotely from anywhere in a distributed team environment. International Collaboration: Opportunity to contribute to a global energy trading platform and collaborate with professionals across different locations. Meaningful Technical Impact: Develop forecasting solutions that support real-world energy market decisions and operational trading activities. Advanced Data Science Challenges: Work on practical applications of time series forecasting involving weather, market prices, and electricity supply and demand. Modern Development Practices: Use agentic coding tools and contemporary development workflows to improve productivity and streamline model implementation. Professional Growth: Strengthen your expertise in quantitative modeling, production-grade data science, and applied forecasting in the energy sector. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1

Data Scientist

$176,000 - $200,000/yr

<p><strong>Senior Data Scientist</strong></p> <p><strong>[Data] • [Vancouver, BC]</strong></p> <p>&nbsp;</p> <p>We're looking for a Senior Data Scientist to help define Asana's growth strategy as users increasingly discover and adopt software through LLM interfaces like ChatGPT, Claude, and Gemini. With millions of knowledge workers now starting their workday in conversational AI tools, we're at an inflection point in how productivity software reaches users. As part of the AI organization within Asana you'll leverage data to influence how we should build our agentic work management products.&nbsp;</p> <p>&nbsp;</p> <p>Asana's Data Science team helps us fulfill our mission by informing strategy, defining success metrics, and identifying new ways to deliver user value. Data scientists are at the crux of deepening our understanding of the customers and driving more business outcomes by leveraging experimentation, causal inference, statistical and machine learning techniques, and data storytelling.</p> <p>&nbsp;</p> <p>This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements.</p> <p><br><br></p> <p><strong>What you’ll achieve</strong></p> <p>&nbsp;</p> <ul> <li>Work closely with Product Managers, User Researchers (UXR), and Engineers to understand the needs of our agentic work management customers, employing data frameworks and methodologies to understand our user segments and identify levers for driving user engagement</li> <li>Act as the data lead for specific AI features at Asana with product and engineering</li> <li>Use data analysis and data storytelling to identify key product opportunities for the roadmap</li> <li>Design experiments that measure product progress, and own key performance metrics.</li> <li>Collaborate with fellow Data Scientists in the team to research, identify and disseminate best practices across teams</li> <li>Work in a high-performance, dynamic team with a strong focus on velocity and software quality and learn about the upcoming field of AI-Optimization and how LLMs can help boost Asana’s value proposition.</li> </ul> <p><br><br></p> <p><strong>About you</strong></p> <ul> <li>4-6 years of data science experience, with majority in growth-focused roles at B2B SaaS companies</li> <li>0→1 builder mentality. You've demonstrated the ability to thrive independently in ambiguous environments where you're inventing new playbooks rather than executing existing one</li> <li>Exceptional cross-functional leadership. You write crisply, tell clear stories, and can influence across product,engineering, design, partnerships, sales, and executive stakeholders. You bring clarity to ambiguity.</li> <li>Experience with AI/ML products, LLM APIs, or third-party platform integrations. Strong preference for candidates who've worked with conversational AI or built features integrating ChatGPT, Claude, or similar platforms.</li> <li>Strong analytical foundation with deep fluency in experimentation, A/B testing, pipeline management</li> <li>Strategic business acumen to balance user experience with revenue objectives while translating emerging technology trends into actionable product strategy.</li> <li>Genuine AI enthusiasm. You're curious, adaptable, and genuinely excited about how LLMs are transforming software discovery and adoption.&nbsp;</li> <li>Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making</li> <li>Expert in relational data modeling and SQL and fluent in at least one modern language useful for data processing (e.g. R, Python, or Scala).</li> <li>Familiarity with statistical methods including experimental design, regression, causal inference</li> </ul> <p>&nbsp;</p> <p>At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply.</p> <p><br><br></p> <p><strong>What we’ll offer</strong></p> <p>&nbsp;</p> <p>Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is</p> <p>why we check ourselves and conduct a yearly pay equity audit.</p> <p>&nbsp;</p> <p>For this role, the estimated base salary range is between CAD 176,000-200,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified.</p> <p>&nbsp;</p> <p>In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.</p> <p>&nbsp;</p> <p>We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:</p> <p>&nbsp;</p> <ul> <li>Mental health, wellness &amp; fitness benefits</li> <li>Career coaching &amp; support</li> <li>Inclusive family building benefits</li> <li>Long-term savings or retirement plans</li> <li>In-office culinary options to cater to your dietary preferences</li> </ul> <p>These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.</p> <p>&nbsp;</p> <p>#LI-Hybrid</p> <p><br><br></p> <p><strong>About us</strong></p> <p>Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric</p> <p>culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment</p> <p>where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law.</p> <p>&nbsp;</p><div class="content-conclusion"><p><strong>About us</strong></p> <p data-pm-slice="1 1 []">Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong.</p> <div class="TypographyPresentation31345133root TypographyPresentation31345133root--medium RichText3-paragraph--withVSpacingNormal RichText3-paragraph HighlightSol1625403506highlightSol HighlightSol1625403506buildingBlock" style="text-align: left;">We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at t

Associate Data Scientist

From $54/yr

Description Machine Learning Maestro: You don’t just work with data - you decode it, predict the future with it, and turn it into action. Your models don’t just sit on a shelf - they shape strategy, optimize efficiency, and fuel company growth. You thrive on uncovering hidden patterns, validating hypotheses, and embedding machine learning models into real-world AI applications. If that sounds like you - read on. AlgaeCal is looking for a top-tier Associate Data Scientist who can turn raw information into strategies that drive measurable results. This job will give you ALL the feels: At AlgaeCal, we’re driven by a single idea. To end the fear of bone loss. In the United States, an estimated 54 million people have low bone density. The good news? AlgaeCal has the world’s only clinically-backed natural solution to this problem. We give hope to everyone worried about bone loss. If that excites you, you’ll find no better place to continue your career than at AlgaeCal. This job might be for you if you’ve got… Experience as a Data Scientist (or a similar role) and can back it up with a resume that shows real results. You’ve built predictive models, optimized AI applications, and refined data architectures that have had a measurable impact. You don’t just analyze numbers—you translate data into actionable insights that drive business decisions. Serious coding skills in Python or R. You know how to build and refine machine learning models that actually work. You’ve used statistical modeling and data science tools to solve complex problems and unlock growth opportunities. Expertise in SQL and relational databases. Writing efficient queries? Optimizing data structures? Your resume is packed with quantifiable examples that’ll make us drool with desire! You know how to work with large datasets, ensuring data is organized, accessible, and primed for analysis. A deep understanding of machine learning algorithms. Whether it’s regression, clustering, or neural networks, you know how to choose the right approach for the right challenge. You don’t just apply models—you understand how they work under the hood. Hands-on experience with data warehouses. BigQuery or similar? Check. You understand how to design, maintain, and optimize scalable data storage solutions that support robust analytics. A knack for standardizing and improving data models. You’ve worked with data at scale, refining schemas and improving architectures to ensure efficiency, accuracy, and usability across the organization. A laser-sharp eye for detail. You’re the kind of person who spots trends, outliers, and opportunities that others miss. Your ability to catch anomalies helps ensure our models and analytics are always on point. An entrepreneurial approach to data. You don’t just crunch numbers—you think strategically about how data can be leveraged to create business value. You’re proactive in identifying new ways AI and machine learning can drive efficiency, sales, and profitability. Industry know-how that adds value. If you’ve got experience in consumer packaged goods, e-commerce, or the health/supplement industry, that’s a huge plus. You understand how data can shape customer experience, optimize operations, and maximize ROI. Now, time to be honest: is this really you? If you’re nodding your head and feeling that flutter of excitement, then we can’t wait to meet you. Other Qualities You’ll Need At AlgaeCal we’re going to insist that you have these 3 qualities: You’re humble––you put the team and others’ needs ahead of your own You’re hungry to learn more You’re people smart––in the sense that you’re a great teammate The truth is, if you don’t have these qualities you won’t last long at AlgaeCal. So if you’re missing one of them, be honest. Save yourself a lot of headaches and skip to a job posting that is a better fit for you. What Will You Earn? We believe in rewarding top talent. Let’s talk about salary once we’ve had the chance to get to know you better. Rest assured, we’re generous and offer above-market pay for the right person. If you bring the skills and experience, we’ll make sure the compensation reflects that. You’ll also enjoy the following benefits: Monthly team events and activities Weekly team lunches Casual dress code Incredible dog friendly, Yaletown office one block from SkyTrain Remote working is okay with us too. And above all, you’ll join a team that you’ll never want to leave. Culture is everything to us. Yes, we work extremely hard to change as many people’s lives as possible. But we know how to have fun and reward ourselves too. How To Apply So, do you have what it takes to become the next member of team AlgaeCal? Job opportunities like this don’t come along often, and we’ve got a lot to offer our successful applicant. So, to make sure our future Associate Data Scientist is the real-deal, will be a great fit, and will thrive at AlgaeCal, we ask a little more than your run-of-the-mill job application: If this sounds like a position for you, please respond to this advertisement with your resume and cover letter. Please, read carefully: 1. Write a cover letter addressing: Why are you the best Associate Data Scientist for this role? Give quantifiable examples of related achievements. Describe why you fit perfectly with our values. Read them here: https://drive.google.com/file/d/1deCCJZ6tiDiOSlrW0UdCuMV_ahzPBs/view What's the toughest challenge you’ve ever overcome in your life? How did you overcome it? What are the last three books you’ve read? What do you do for fun? 2. Explain what you’re doing now for a job: If you don’t have one, explain why. If you have one, explain why you’re looking elsewhere. 3. Upload your cover letter and resume Ensure that your cover letter and resume are saved and sent as one file. Yes, our hiring process is challenging, but it’s our way of selecting the best--and your way of ensuring your AlgaeCal teammates are tops. Click the “Apply Now” button on this page and upload your cover letter and resume. Note: Please include your cover letter WITH your resume in one document. Applications without a cover letter will not be read! We are looking to hire as soon as we find the right person, so act quickly and you can also expect a prompt response. Please mention the word EARNESTNESS and tag RMTUyLjcwLjIxLjEwNQ== when applying to show you read the job post completely (#RMTUyLjcwLjIxLjEwNQ==). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.

Senior Data Scientist (m/f/d)

From $100/yr

Your mission You turn data into decisions for a pan-European business. As a Senior Data Scientist in our newly established AI UNIT within E.ON Drive Infrastructure (EDRI), a special unit built and run like a startup, you will help transform complex business challenges into data-driven decisions. Working closely with stakeholders across the organization, you will develop analyses, experiments, and models that create measurable business impact and shape the future of AI-driven decision-making at EDRI. You report to our Head of AI Strategy. Your Responsibilities * Translate business challenges into analyses, predictive models, and actionable recommendations * Build and validate statistical, machine learning, and optimization models to support strategic decision-making * Design experiments and measure real business impact, beyond correlation, using rigorous analytical methodologies * Collaborate with AI/ML Engineers to bring analytical models into production environments * Communicate insights, assumptions, and uncertainty clearly to stakeholders up to CEO level * Establish best practices and standards for analytics, experimentation, and model development * Evaluate emerging AI models, AI tooling, and agentic systems and use what works to accelerate analysis workflows * Drive data-informed decision-making across business functions and regions * Share knowledge and support the development of junior colleagues – this is a senior individual contributor role Your profile You are a commercially minded Data Scientist who combines strong analytical rigor with the ability to influence business decisions. You enjoy tackling ambiguous problems, turning data into insights, and delivering measurable outcomes. Must have * Proven experience delivering analyses and models that influenced real business decisions * Strong background in statistics, including hypothesis testing, experimentation, and causal inference * Excellent programming skills in Python and SQL * Deep expertise in at least one area such as forecasting, optimization, causal inference, or Bayesian methods * Ability to communicate complex analytical findings to non-technical audiences * Strong commercial mindset with a focus on business impact and value creation * Experience working with machine learning techniques and data-driven decision-making frameworks * Curious, pragmatic, and passionate about solving complex problems through data and AI-driven insights Nice to have * Experience taking models into production * Hands-on experience with GenAI or LLM-based tools * Experience in energy, mobility, or other asset-heavy industries We hire for spikes, not for resumes. Don't tick every box? Apply anyway and show us what you have built. Why us? * People take centre stage: Become part of a dynamic, ambitious and agile team that develops solutions for the eMobility market and be part of our EDRI events * With us, you get the best of both worlds - 100% start-up with the support of a large company * The freedom you need: We offer you hybrid working with flexible working hours * Workation: Enjoy the flexibility to work temporarily from abroad – within the EU * You will receive a competitive salary * A company pension scheme is of course also one of the benefits with us * Sustainable learning opportunities: We support you with a training budget of 5,000 euros per year * You get everything you need to get started: onboarding with welcome gifts and all the hardware you need Contact Diversity counts at E.ON. We welcome all people and are convinced that differences make us stronger. Become part of our inclusive and diverse corporate culture! Seize the opportunity to become part of our E.ON Drive Infrastructure team and not only create prospects for the future of E.ON, but also for your own. We look forward to getting to know you! Laura Junior Recruiter Do you have any questions or difficulties with your application? Please contact me at laura.ackermann@edri.com. Do you have any questions about the role? Feel free to reach out to Michael Hindert (Head of AI Strategy) here on LinkedIn!

Senior Data Scientist (Machine Learning Focus)

About the Role Our client, a leading innovator in financial technology, is seeking a highly skilled Senior Data Scientist with a strong specialization in Machine Learning to join their growing team in Mossel Bay, Western Cape . This role offers a unique opportunity to leverage vast datasets to develop predictive models, drive business insights, and create cutting-edge data-driven products. You will work at the forefront of data science, applying advanced statistical and machine learning techniq…

Data Scientist II - AI Assurance Researcher

From $114,000/yr

Overview At PNNL, our core capabilities are divided among major departments that we refer to as Directorates within the Lab, focused on a specific area of scientific research or other function, with its own leadership team and dedicated budget. Our Science \& Technology directorates include National Security, Integrated Discovery Sciences, and Energy and Environment. In addition, we have an Environmental Molecular Sciences Laboratory, a Department of Energy, Office of Science user facility housed on the PNNL campus. The National Security Directorate (NSD) drives science-based, mission-focused solutions to take on complex, real-world threats to our nation and the world. The AI and Data Analytics Division, part of the National Security Directorate, combines profound domain expertise and creative integration of advanced hardware and software to deliver computational solutions that address complex data and analytic challenges. Working in multidisciplinary teams, we connect foundational research to engineering to operations, providing the tools to innovate quickly and field results faster. Our strengths are integrated across the data analytics lifecycle, from data acquisition and management to analysis and decision support. Responsibilities PNNL is seeking a Data Scientist II - AI Assurance Researcher who has experience in understanding, exploring, and manipulating the internal mechanics and behaviors of AI models and can provide valuable insights into the decision boundaries and mathematical fingerprints of data properties. The selected candidate should have extensive experience training models, accessing and working with data embeddings, the ability to derive theoretical queries from empirical results, and demonstrate the capacity to translate research papers and findings into mission relevant insights and tools. Key Responsibilities * Designs and executes rigorous ML experiments following community best practices, including large-scale training and evaluation on HPC infrastructure. * Evaluates AI systems across multiple dimensions, including standard performance metrics, generalization, robustness, and out-of-distribution behavior. * Analyzes the internal structures and representations of deep learning models, with emphasis on large language models and large vision models. * Assesses empirical results to identify trends, inform research direction, and recommend next steps. * Writes high-quality, well-documented research code that supports reproducibility and collaboration. * Contributes to publications and technical reports that communicate findings to both internal and external audiences. * Collaborates with senior researchers, engineers, and cross-functional teams to integrate research into broader systems and workflows. * Conducts work in secure environments with adherence to operational security requirements. This position is based in either Richland, WA or Seattle, WA and requires an onsite presence. Qualifications Minimum Qualifications: * BS/BA and 2 years of relevant experience -OR- * MS/MA -OR- * PhD Preferred Qualifications * Degree in computer science, engineering, mathematics, or a related field. * Familiarity with the current ML research landscape, particularly in explainable AI, adversarial machine learning, AI safety, and the science of deep learning. * Hands-on experience analyzing the internal structures of deep learning models, particularly large language models and large vision models. * Proficiency in PyTorch and associated deep learning libraries. * Experience designing and executing experiments on HPC systems. * Experience in translating research prototypes into deployable tools and capabilities. * Demonstrated strong communication and collaboration skills, with the ability to work effectively in a multi-disciplinary team environment. Hazardous Working Conditions/Environment Not applicable. Additional Information This position requires the ability to obtain and maintain a federal security clearance. A security clearance background investigation includes review of your employment, education, financial, and criminal history, as well as interviews with you and your personal references, neighbors, and co-workers to determine trustworthiness, reliability, and loyalty to the United States. The investigation also examines your foreign connections, drug and alcohol use, foreign influence, and overall conduct. Requirements * U.S. Citizenship * Background Investigation: Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter in accordance with 10 CFR 710, Appendix B. * Drug Testing: All Security Clearance positions are Testing Designated Positions, which means that the applicant selected for hire is subject to pre-employment drug testing, and post-employment random drug testing. In addition, applicants must be able to demonstrate non-use of illegal drugs, including marijuana, for the 12 consecutive months preceding completion of the requisite Questionnaire for National Security Positions (QNSP). Note: Applicants will be considered ineligible for security clearance processing by the U.S. Department of Energy if non-use of illegal drugs, including marijuana, for 12 months cannot be demonstrated. Testing Designated Position This position is a Testing Designated Position (TDP). The candidate selected for this position will be subject to pre-employment and random drug testing for illegal drugs, including marijuana, consistent with the Controlled Substances Act and the PNNL Workplace Substance Abuse Program. About PNNL Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them! At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules. PNNL is located in eastern Washington State—the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab’s campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs. Commitment to Excellence and Equal Employment Opportunity Our laboratory is committed to fostering a work environment where all individuals are treated with fairness and respect while solving critical challenges in fundamental sciences, national security, and energy resiliency. We are an Equal Employment Opportunity employer. Pacific Northwest National Laboratory (PNNL) is an Equal Opportunity Employer. PNNL considers all applicants for employment without regard to race, religion, color, sex, national origin, age, disability, genetic information (including family medical history), protected veteran status, and any other status or characteristic protected by federal, state, and/or local laws. We are committed to providing reasonable accommodations for individuals with disabilities and disabled veterans in our job application procedures and in employment. If you need assistance or an accommodation due to a disability, contact us at careers@pnnl.gov. Drug Free Workplace PNNL is committed to a drug-free workplace supported by Workplace Substance Abuse Program (WSAP) and complies with federal laws prohibiting the possession and use of illegal drugs. If you are offered employment at PNNL, you must pass a drug test prior to commencing employment. PNNL complies with federal law regarding illegal drug use. Under federal law, marijuana remains an illegal drug. If you test positive for any illegal controlled substance, including marijuana, your offer of employment will be withdrawn. Security, Credentialing, And Eligibility Requirements As a national laboratory, PNNL is responsible for adhering to the Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which require new employees to obtain and maintain a HSPD-12 Personal Identify Verification (PIV) Credential. To obtain this credential, new employees must successfully complete the applicable tier of federal background investigation post hire and receive a favorable federal adjudication. The tier of federal background investigation will be determined by job duties and national security or public trust responsibilities associated with the job. All tiers of investigation include a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last 1 to 7 years (depending on the applicable tier of investigation). Illegal drug activities include marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws. For Foreign National Candidates If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) Federal risk determination to maintain employment. Once you meet the three-year residency requirement thereafter, you will be required to obtain a PIV credential to maintain employment. The tier of federal background investigation required to obtain the PIV credential will be determined by job duties at the time you become eligible for the PIV credential. Mandatory Requirements Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a “country of risk” without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries, you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment. Rockstar Rewards Employees and their families are offered medical insurance, dental insurance, vision insurance, robust telehealth care options, several mental health benefits, free wellness coaching, health savings account, flexible spending accounts, basic life insurance, disability insurance\, employee assistance program, business travel insurance, tuition assistance, relocation, backup childcare, legal benefits, supplemental parental bonding leave, surrogacy and adoption assistance, and fertility support. Employees are automatically enrolled in our company-funded pension plan\ and may enroll in our 401 (k) savings plan with company match*. Employees may accrue up to 120 vacation hours per year and may receive ten paid holidays per year. * Research Associates excluded. * All benefits are dependent upon eligibility. Click Here For Rockstar Rewards Notice to Applicants PNNL lists the full pay range for the position in the job posting. Starting pay is calculated from the minimum of the pay range and actual placement in the range is determined based on an individual’s relevant job-related skills, qualifications, and experience. This approach is applicable to all positions, with the exception of positions governed by collective bargaining agreements and certain limited-term positions which have specific pay rules. As part of our commitment to fair compensation practices, we do not ask for or consider current or past salaries in making compensation offers at hire. Instead, our compensation offers are determined by the specific requirements of the position, prevailing market trends, applicable collective bargaining agreements, pay equity for the position type, and individual qualifications and skills relevant to the performance of the position. Minimum Salary USD $114,000.00/Yr. Maximum Salary USD $182,100.00/Yr.