Senior Data Scientist Jobs

Senior / Lead Data Scientist – Applied Statistics & Machine Learning – €100,000+

From $100,000/yr

Senior / Lead Data Scientist – Applied Statistics \& Machine Learning – €100,000+ A growing AI engineering consultancy in Frankfurt is hiring a Senior / Lead Data Scientist to help solve complex real-world problems across healthcare, insurance, finance, energy and manufacturing. The most successful people in this team are naturally sceptical. They question the data before the model. They care about statistical rigour. They understand that a surprisingly good result is often the first thing that deserves investigating. You’ll work directly with customers, taking projects from problem definition through to deployment and stakeholder presentation. The work is varied, technically challenging, and focused on delivering outcomes that stand up in production. Why this role stands out * Work on genuinely varied projects across multiple industries * High level of ownership and customer exposure * Strong engineering culture focused on quality over hype * Opportunity to grow into a Lead Data Scientist position What you’ll work on * Predictive analytics and machine learning projects across multiple industries * Statistical analysis of messy, incomplete and real-world datasets * Time series, tabular, text and occasionally image-based data problems * Customer-facing consulting and technical delivery * End-to-end project ownership from discovery through to deployment What they’re looking for * Several years of commercial Data Science or Machine Learning experience * Strong statistical foundations and a genuine understanding of uncertainty, hypothesis testing and model evaluation * Excellent Python skills and experience with modern ML frameworks If you’re the type of Data Scientist who wants to understand the problem before reaching for the algorithm, we’d love to speak with you. Data Science | Machine Learning | Statistics | Python | AWS | Time Series | Predictive Analytics | Applied AI | Consulting | Healthcare | Insurance | Finance | Frankfurt | Hybrid

Senior Data Scientist

$156,000 - $166,400/yr

Senior Health Data Scientist (Real-World Data)

$113,000 - $150,000/yr

Inovalon was founded in 1998 on the belief that technology, and data specifically, would empower the transformation of the entire healthcare ecosystem for the better, improving both outcomes and economics. At Inovalon, we believe that when our customers are successful in their missions, healthcare improves. Therefore, we focus on empowering them with data-driven solutions. And the momentum is building. Together, as ONE Inovalon, we are a united force delivering solutions that address healthcare's greatest needs. Through our mission-based culture of inclusion and innovation, our organization brings value not just to our customers, but to the millions of patients and members they serve. Overview: The Senior Health Data Scientist will lead and serve as subject matter expert to highly complex data extracts, programming, and analytical modeling capabilities in support of the team's services to internal and external clients. The Senior position provides guidance and support as needed to junior staff. The team consists of staff with specialized experience, such as statisticians, researchers, health economists, clinicians, and project managers, who conceptualize, execute, and deliver qualitative, analytical, and strategy-based work products for clients. We also work closely with other product teams and business units, applying the full scope of the company's knowledge base to the development of multi-disciplinary, creative solutions on behalf of our clients. Business Unit: Insights - Health Data Science Team This team is the data subject matter expert within the Insights business unit. Their role is to support teams across the organization to bridge the gap between product and engineering. Assist with translating the high-level product vision from the product lead by: 1) Writing detailed logic/algorithm requirements 2) Building prototypes 3) Best practices consulting, and 4) User acceptance testing. This also involves data profiling, data investigation, root-cause analyses, etc. Duties and Responsibilities: * Serve as lead when working collaboratively with product leads, managers, and owners to draw insight and intelligence from large administrative claims datasets, electronic medical records, and various healthcare registry datasets; * Identify and develop solutions that can be implemented to key strategic business problems using high-level modeling and statistical analyses techniques; * Utilize SQL to perform advanced-level data extraction, transformation and data management; fully document and manage library of source code and algorithms for future use; * Identify, develop, and test hypotheses in support of research and product offerings, and communicate findings in a clear, precise, and actionable manner to our clients; * Respond to and lead highly complex operational data requests and create ad-hoc queries to support research projects; * Serve as lead when working closely with Inovalon's Enterprise Data Platform teams to identify, understand, and resolve data issues and improve the efficiency, productivity, and scalability of the company's data processes; * Troubleshoot complex production-related issues and coordinate successful resolution; * Assist with the evaluation of data analytic vendors and tools; * Maintain compliance with Inovalon's policies, procedures and mission statement; * Adhere to all confidentiality and HIPAA requirements as outlined within Inovalon's Operating Policies and Procedures in all ways and at all times with respect to any aspect of the data handled or services rendered in the undertaking of the position; * Fulfill those responsibilities and/or duties that may be reasonably provided by Inovalon for the purpose of achieving operational and financial success of the Company; * Uphold responsibilities relative to the separation of duties for applicable processes and procedures within your job function; and * We reserve the right to change this job description from time to time as business needs dictate and will provide notice of such. Job Requirements: * 5 + years of professional experience in healthcare or pharmaceutical industries working with administrative claims data and electronic medical records; * Strong SQL programming skills in addition to working knowledge and experience using statistical analysis tools such as SAS, R, and Python; * Demonstrated problem solving, analytical reasoning, and decision-making skills; * Strong understanding and experience in researching and resolving data issues with a logical, instinctive, and problem-solving mentality working with large, complex, and incomplete sources; * Business analytical skills (process flows, procedures, spreadsheets, modeling, etc.) and good understanding of design and architecture principles; * Exhibit strong project management skills, with an ability to work independently on multiple projects with competing priorities and a strong commitment to meeting goals and deadlines; * Excellent analytical skills and ability to understand and interpret results based on advanced statistical techniques; * Strong written and verbal communication skills in IT and business environments; ability to communicate to technical and non-technical audiences; * Ability to work under minimal supervision in a fast-paced multidisciplinary environment; * Advanced knowledge of health care, health policy, pharmaceutical, medical device, and related issues; * Superior customer service in the form of first-rate work product and project management; * Strong ability to manage challenging client situations; * Strong ability to troubleshoot and recommend solutions; and * Strong ability to translate complex information for a wide range of clients. Education: * Master's degree in computer science, data science, applied mathematics, econometrics, statistics, engineering, physics, or related discipline; or equivalent combination of education and experience Physical Demands and Work Environment: * Sedentary work (i.e. sitting for long periods of time); * Exerting up to 10 pounds of force occasionally and/or negligible amount of force; * Frequently or constantly to lift, carry push, pull or otherwise move objects and repetitive motions; * Subject to inside environmental conditions; and * Travel for this position will include less than 5% locally usually for training purposes. This position is not eligible for immigration sponsorship (e.g. H-1B, TN, or E-3). Applicants must be authorized to work in the United States as a condition of employment. (This is only applicable for US-based positions) If you don't meet every qualification listed but are excited about our mission and the work described, we encourage you to apply. Inovalon is most interested in finding the best candidate for the job, and you may be just the right person for this or other roles. By embracing inclusion, we enhance our work environment and drive business success. Inovalon strives to provide equal opportunities to the communities where we operate and to our clients and everyone whom we serve. We endeavor to create a culture of inclusion in which our associates feel empowered to bring their full, authentic selves to work and pursue their professional goals in an equitable setting. We understand that by fostering this type of culture, and welcoming different perspectives, we generate innovation and growth. Inovalon is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirement. To review the legal requirements, including all labor law posters, please visit this link To review the California Consumer Privacy Statement: Disclosures for California Residents, please visit this link

Senior Data Scientist, Bitcoin

$160,000 - $220,000/yr

Senior Data Scientist – Healthcare Journey Analytics

Senior Data Scientist/ML Engineer/AI Engineer (f/m/x)

Senior Full-Stack Developer / Data Scientist (remote-friendly)

AIDAR is building the future of artist scouting. We help A\&Rs and music professionals discover artists that truly fit their creative vision — using personalized AI agents that scout the global music landscape 24/7. The product is live, the beta is working, and we already have paying customers and EXIST AI Transfer funding. Role Now, we’re hiring a Senior Full-Stack Engineer (m/w/d) to join AIDAR as our core technical hire. You’ll take ownership across the entire stack — from backend infrastructure and data pipelines to AI-driven features and frontend implementation. You’ll work on core systems like APIs, data collection and preparation, and ship features end to end, from logic to UI. This is a foundational role, working side by side with the founders. The role is designed to grow with the company, with increasing technical ownership over time. As AIDAR scales, it can evolve into a CTO-level position, owning technical strategy, architecture, and team development. Requirement Strong experience as a full-stack engineer Solid Python skills (backend, APIs, data-heavy systems) Experience with Flutter or modern frontend development Comfort taking ownership across the full product lifecycle Interest in AI/ML, backend systems, and data pipelines (hands-on experience is a plus, not a must) A reliable, self-driven mindset and enjoyment of working in an early-stage startup Bonus: music industry insight, startup experience, Hamburg-based Facts €59,000 salary Employee shares ( 1% vested equity, with upside if you grow into CTO) 30 vacation days Full-time or optional 90% role * Remote-friendly (EU) with flexible hours (HQ in Hamburg)

Senior Data Scientist, Bitcoin

$198,000 - $297,000/yr

Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurt

Senior Data Scientist - Industry Solutions Engineering

Senior Data Scientist, Advanced Risk Modeling

Hi, we're Oscar. We're hiring a Senior Data Scientist to join our Data team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family. About the role: The Senior Data Scientist, Advanced Risk Modeling, is a seni

Senior Data Scientist

Principal/Senior Data Scientist – Computational Genomics

Senior Data Scientist

Description Senior Data Scientist ========================= Programme: LCST Location: Bristol, occasional travel to customer and Leidos sites may be required We’re ready for you to unleash your potential! Role Overview: We are seeking a Senior Data Scientist to join us on a permanent basis. You will apply advanced analytical, statistical, and machine‑learning techniques to support major UK Government programmes and the wider enterprise, working across multidisciplinary teams throughout the UK. You will collaborate with delivery managers, engineers, architects, and customer stakeholders to design, develop, and operationalise data‑driven solutions that deliver meaningful impact. This role offers the opportunity to deepen your expertise, contribute to high‑value projects, and help shape the analytical capability within one of the strongest teams in the business. Your Responsibilities Will Include: Designing, developing, and validating statistical models and machine‑learning solutions Conducting exploratory data analysis and feature engineering to uncover insights and support decision‑making Working closely with data engineers to ensure high‑quality, scalable data pipelines for modelling Translating analytical findings into clear, actionable recommendations for technical and non‑technical audiences Supporting the development of analytical roadmaps, risk identification, and mitigation planning Contributing to the operationalisation and monitoring of models in production environments Evaluating emerging tools, frameworks, and methodologies to enhance analytical capability Providing guidance and informal mentorship to junior data scientists and analysts Ensuring responsible, ethical, and secure use of data and AI Required Skills: Experience in data science, machine learning, or applied analytics Strong proficiency in Python and common ML libraries (pandas, NumPy, scikit‑learn, TensorFlow, PyTorch) Experience designing, training, and evaluating machine‑learning models Solid understanding of statistical methods, predictive modelling, and experimental design Experience working with large or complex datasets, including data cleansing and feature engineering Ability to communicate analytical concepts clearly to non‑technical stakeholders Experience working in an agile delivery environment Strong problem‑solving skills and attention to detail Desired Skills: Experience with cloud‑based ML services (AWS SageMaker, Azure ML, Databricks) Familiarity with MLOps practices and model lifecycle management Experience with NLP, deep learning, or computer vision Knowledge of data visualisation tools (Power BI, Tableau) Exposure to big‑data technologies (Spark, Hadoop) AWS certifications Experience supporting government or highly regulated environments Clearance Requirements: Clearance to Start BPSS Clearance for Role SC Applicants must have (or be able to obtain) SC clearance Leidos UK! Join our team and discover a culture of collaboration, innovation, diversity, trust, caring management, communication transparency, work-life balance, and overall job satisfaction... What we do for you: At Leidos we are PASSIONATE about customer success, UNITED as a team and INSPIRED to make a difference. We offer meaningful and engaging careers, a collaborative culture, and support for your career goals, all while nurturing a healthy work-life balance. We provide an employment package that attracts, develops and retains only the best in talent. Our reward scheme includes: Contributory Pension Scheme Private Medical Insurance 33 days Annual Leave (including public and privilege holidays) Access to Flexible benefits (including life assurance, health schemes, gym memberships, annual buy and sell holidays and a cycle to work scheme) Flexible Working Scheme Commitment to Diversity: We welcome applications from every part of the community and are committed to a truly diverse and inclusive culture. We foster a sense of belonging, welcoming all perspectives and contributions, and providing equal access to opportunities and resources for everyone. If you have a disability or need any reasonable adjustments during the application and selection stages please let us know, and we will respond in a way that best fits your needs. Who We Are: The Logistics Commodities \& Services Transformation (LCST) Programme for the UK Ministry of Defence is a critical effort to enhance and improve the UK’s defence supply chain. The programme provides essential services such as storage and distribution for the MOD's materiel, including a global freight service and the procurement and inventory management of 70,000 commodity NATO Stock Number (NSNs). Working together as Team Leidos we are helping to transform the UK's defence supply chain by providing an integration of a complex mixture of services, at low risk, using a modern suite of systems that will deliver one version of the truth. For the first time, the MOD will see the whole picture, as it is happening. What Makes Us Different: Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration: having flexibility to do your job is one of our core benefits, enabling you to become part of our extraordinary team. We have been empowering our people to work flexibly for years. Whether you work from home, the office or on customer sites, we will give you the digital tools and the flexibility to work smarter and align your needs and ours. People: Leidos empowers people from every background to be themselves and gives you the tools to learn new skills by enabling growth whilst developing. We believe that extraordinary people need opportunities to grow, to be inspired and to inspire others. At Leidos, we invest in technical academies, career rotations and a career development plans that enhance your future. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. Original Posting: --------------------- For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: -------------- £61,500.00-£78,800.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits. Securing Your Data Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Senior Data Scientist - Revenue Intelligence

$124,000 - $124,000/yr

Senior Data Scientist (Marketing) (m/f/d)

Senior Data Scientist

Senior Data Scientist, Research Cloud

Senior Data Scientist, Gemini App, Google DeepMind

Senior Data Scientist (d/f/m)

mobile.de is Germany’s largest vehicle marketplace, with more than 1.6 million listed cars, commercial vehicles, motorcycles, and e-bikes. Both private customers and registered vehicle dealers use the platform and benefit from more than 120 million visits per month. As a “one-stop shop,” mobile.de’s offering includes not only buying and selling, but also financing and leasing solutions. Founded in 1996, the company is a subsidiary of Adevinta, a global leader in online classified portals. Based in Berlin-Charlottenburg, we offer a dynamic environment where growth, learning, and collaboration are at the heart of everything we do.If you are driven by an eagerness to disrupt, have a passion for collaboration, and are excited about shaping the future of mobility, we would love to hear from you. mobile.de is an equal opportunity employer and we value diversity. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status. What we offer Meaningful Work: We are a diverse, international, highly skilled and passionate team committed to a world where people share more and waste less. Every day you will have the opportunity to make a huge difference for our users, customers as well as shape the future. Embracing AI: We're at the forefront of integrating cutting-edge AI technologies into our operations. Being part of mobile.de you will work with and learn about AI tools, contributing to projects that leverage AI to enhance efficiency, improve customer experiences, and drive our mission forward. With an AI-first mindset, we foster a culture of continuous learning and experimentation, empowering our team to explore and apply AI in meaningful ways for the company and themselves. Growth and Development: We are a global organisation who truly believes in growing our people. To support this we offer lots of development and training opportunities and provide a budget for our team members. Connection and Inclusion: Our culture is the glue that holds us together. We believe in making meaningful connections and creating an inclusive atmosphere with lots of opportunities to connect both in your day to day work and through social team activities (online and offline) What you’ll do \& Who you are We are seeking a passionate Senior Data Scientist (d/f/m) to join our central Data Science team based in Berlin! Our team’s mission is to deliver data-driven insights and machine learning (ML) solutions that enhance user experiences and drive value across our platforms, with a particular focus on search and ranking tools. We offer a flexible working environment with in-person presence expected once/twice a week, or as required for key product appointments. About the Role As a Senior Data Scientist, you will: Lead impactful projects that apply data science and advanced ML models to complex business problems, especially around search, ranking, recommendation, and personalization. Own end-to-end data science initiatives: from ideation and prototyping, to production deployment, performance monitoring, and refining for scalability and efficiency. Analyze large and complex datasets to uncover actionable insights that inform business strategies and drive user-centric solutions. Build and validate proof-of-concepts for innovative features, clearly presenting results and value to diverse stakeholders. Act as a bridge between technical and non-technical teams, communicating insights, methodologies, and outcomes effectively. Collaborate closely with product managers, UX designers, engineers, and other data scientists to align on search and platform goals and drive cross-functional product development. Mentor and support junior data scientists, promoting best practices and continuous team growth. Stay current with the latest advancements in data science, integrating new tools, frameworks, or techniques to push the team’s capabilities forward. What You Bring Relevant MSc or Ph.D. in statistics, computer science, economics, or a related field. 3+ years of hands-on experience in designing, training, and deploying machine learning models, ideally within marketplaces or technology-driven environments. Advanced programming skills in Python (preferred), R, and proficiency working with SQL and/or NoSQL databases. Strong background in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and experience with MLOps best practices. Proven track record with cloud platforms, especially GCP or AWS, including deploying and managing ML solutions in production environments. Experience guiding cross-functional team efforts and managing a variety of stakeholders. Confidence in translating complex business needs into data-driven strategies and communicating findings to technical and non-technical audiences. Enthusiasm for agile software development (Kanban/Scrum), product discovery, and iterative, continuous deployment. Excellent English language communication skills, both written and verbal. Passion for innovation, continuous learning, and making a real impact on how millions interact with our platform. Benefits Working at mobile.de comes with its perks! Enjoy the following benefits (some of many): Rewards: competitive base salary and participation in the company’s incentive programs. Plan for the Future: On top of the statutory retirement insurance, we offer a competitive company pension scheme. Team-Building: Regular team and company events offer the opportunity to network and learn from each other. Learning \& Development: Keep growing with access to coaching, learning platforms and resources. Mobility: Stay mobile with a monthly transportation allowance. Enjoy working: Our well‑equipped office supports focused work and teamwork - plus inviting social zones where colleagues can relax and connect Flexible working: a hybrid approach with the option to work abroad for a set number of days per year. Wellbeing: confidential employee assistance and support services available to employees and their immediate families. * Family support: enhanced parental leave and family‑friendly policies to support all parents and careers.

Senior Data Scientist (f/m/d)

Senior Data Scientist

Senior (Lead) Data Scientist ================================ We are looking for a Senior (Lead) Data Scientist to join us as we continue to evolve and build our next generation of models at Funding Circle. You will play a key role in developing, implementing and monitoring these models and drive significant value for the business. As part of the Decision Science team, you will create cutting edge statistical and machine learning models and collaborate with data engineers, analysts, and business stakeholders. As well as improving on our previous generation models, we are expanding our borrower products so you will have the opportunity to develop completely new models. Who are we? We’re Funding Circle. We back small businesses to succeed. At Funding Circle, we believe the world needs small businesses. That’s why we’ve made it our mission to help them get the finance they need to grow. With more than a decade of expertise under our belt, we’ve built a game-changer of a platform with cutting-edge data and technology that’s reshaping the landscape of SME lending. Say goodbye to lengthy applications and hello to lightning-fast decisions! In just minutes, SMEs across the UK can get a decision, giving them access to competitive funding in a flash. We know that good business is about good people. So we pride ourselves on providing meaningful, human support as well as fast, hassle free processes to deliver an unbeatable customer experience. The role Develop statistical and machine learning models for commercial lending products Have a clear and relentless focus on delivering business results and be comfortable challenging the status quo Provide technical mentorship and guidance to junior team members during the model development lifecycle Mentor the team on best practices for risk mitigation Oversee the experimentation framework for model optimisations Conduct peer reviews of code and methodologies to ensure high-quality, scalable outputs Proactively problem solving, identifying and confidently mitigating any risks, issues or control weaknesses that arise in your day-to-day What we’re looking for Passionate about Funding Circle’s values and mission to support businesses Advanced Education: A Bachelors, Masters or PhD in a quantitative field or STEM related subject (Mathematics, Finance, Economics, Physics, Engineering…) Proven Expertise: Proven in problem-solving using logical reasoning and analytical methods and previous experience in Machine Learning and model building Technical Proficiency: Expert-level knowledge of Python and SQL At Funding Circle we are committed to building diverse teams so please apply even if your past experience doesn’t align perfectly with the requirements. Want to learn more? We have a huge impact on the businesses that borrow through our platform, the communities they serve and the overall economy (last year £6.9bn of GDP generated). You can read our full Impact Report here: https://www.fundingcircle.com/uk/impact To see what our customers think, visit our Trustpilot page: https://uk.trustpilot.com/review/fundingcircle.com And we’re still evolving! Our award-winning multi-product platform is solving more SME finance challenges than ever before. We think big, rally together and meet the needs of SME customers like no other. Why join us? At Funding Circle, we celebrate and support the differences that make you, you. We’re proud to be an equal-opportunity workplace and affirmative-action employer. We truly believe that diversity makes us better. As a flexible-first employer we offer hybrid working at Funding Circle, and we've long believed in a 'best of both' approach to in-office collaboration and non-office days. We expect our teams to be in our London office three times a week, where you can take advantage of our newly refurbished hybrid working space, barista made coffee and subsidised lunches (via JustEat) every day! We back our Circlers to build their own incredible career, making a difference to small businesses every day. Our Circler proposition is designed to support employees both in and out of work, and it is anchored around four pillars: Health, Wealth, Development \& Lifestyle. A few highlights: Flexibility: We provide you with a benefit allowance so that you can tailor your benefit selection to you and your family’s needs. Health: Private Medical Insurance, Dental Insurance, Health Cash Plan, Health Assessments (including female fertility health assessments), eyecare vouchers, flu jabs, Wellhub (for discounted flexible gym membership and access to wellbeing apps) access to a free Employee Assistance Programme and free Digital GP for yourself and any children under 16. Wealth: Life Assurance, Income Protection, Critical Illness Cover, financial coaching through Octopus Money Coach, a tax-advantaged share scheme, a free mortgage advisor partnership and discounts across numerous retailers through Perks at Work. Development: Dedicated annual Learning \& Development allowance and full access to internal learning platform. * Lifestyle: Electric Car Scheme, Cycle to Work scheme, Season Ticket Loans, and more! And finally, we have award winning parental leave policies supporting parents through enhanced maternity, partner and adoption leave, as well as additional leave for parental bereavement and for fertility treatments.Ready to make a difference? We’d love to hear from you. #LI-CS1 =============

Senior Data Scientist (Agentic AI)

Senior Data Scientist (m/w/d) für Mobilnetze

Senior Data Scientist

Senior Data Scientist

Who is Blueprint? We are a technology solutions firm headquartered in Bellevue, Washington, with a strong presence across the United States. Unified by a shared passion for solving complicated problems, our people are our greatest asset. We use technology as a tool to bridge the gap between strategy and execution, powered by the knowledge, skills, and the expertise of our teams, who all have unique perspectives and years of experience across multiple industries. We're bold, smart, agile, and fun. What does Blueprint do? Blueprint helps organizations unlock value from existing assets by leveraging cutting-edge technology to create additional revenue streams and new lines of business. We connect strategy, business solutions, products, and services to transform and grow companies. Why Blueprint? At Blueprint, we believe in the power of possibility and are passionate about bringing it to life. Whether you join our bustling product division, our multifaceted services team or you want to grow your career in human resources, your ability to make an impact is amplified when you join one of our teams. You'll focus on solving unique business problems while gaining hands-on experience with the world's best technology. We believe in unique perspectives and build teams of people with diverse skillsets and backgrounds. At Blueprint, you'll have the opportunity to work with multiple clients and teams, such as data science and product development, all while learning, growing, and developing new solutions. We guarantee you won't find a better place to work and thrive than at Blueprint. In This Role In this role, you will drive the delivery of advanced technical training programs and technical call initiatives from planning through execution. You will partner closely with internal stakeholders, trainers, and program managers to gather requirements, manage content development, and ensure the right audiences are selected for each training. You will also track outcomes, analyze feedback, and clearly communicate impact through metrics and leadership updates. This role blends program management, instructional design coordination, and data-driven reporting in a fast-paced, delivery-focused environment. Responsibilities Drive end-to-end delivery of advanced technical training programs and technical call initiatives. Collect and refine requirements from internal partners to define training objectives, scope, and success criteria. Partner with trainers, SMEs, and managers to manage development of training materials and ensure readiness for delivery. Coordinate attendee selection from defined technical communities based on eligibility, prerequisites, and program goals. Manage program schedules, risks, dependencies, and status reporting to ensure on-time delivery. Publish, maintain, and update training content in the Learning Management System (LMS). Interface with stakeholders on both technical and business topics from project initiation through delivery. Collect, analyze, and report metrics and feedback to measure training effectiveness and business impact. Create and deliver regular leadership-facing updates, including monthly summary slides. Organize and drive cross-functional activities to ensure programs are completed within scope and constraints. Required Qualifications Strong experience as a Project or Program Manager driving cross-functional initiatives end to end. Experience managing training programs, enablement initiatives, or learning content delivery. Hands-on experience using Articulate Rise and/or Articulate Storyline for training content publishing and maintenance. Strong analytical skills, including experience analyzing metrics and translating insights into leadership-ready reporting. Technical exposure to data analysis, SQL querying, and reporting or visualization tools. Excellent written and verbal communication skills with experience presenting to stakeholders and leadership. Proven ability to manage schedules, dependencies, and multiple workstreams simultaneously. Experience working in a fully remote environment with fixed working hours. Preferred Qualifications Background or exposure to instructional design principles or structured learning frameworks. Experience managing content within an LMS and maintaining versioned learning assets. Experience building dashboards or reports using tools such as Power BI or Excel. Familiarity working with technical audiences or support/engineering communities. Experience collecting learner feedback and continuously improving training programs based on data. Certification or formal training in project management, change management, or process improvement. Salary Range At Blueprint, we strive to offer competitive pay that reflects the value of our team members. Compensation for this role is influenced by a variety of factors, including skills, education, responsibilities, experience, and geographic market. For candidates based in Washington State, the anticipated salary range is $130,000 to $140,000 annually. Please note that we typically do not hire new employees at the top of the posted range. Actual starting pay will be determined based on experience, skills, and internal equity. The final salary and job title may vary depending on the selected candidate's qualifications and could fall outside the stated range. Equal Opportunity Employer Blueprint Technologies, LLC is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, age, disability, sex, gender identity or expression, orientation, veteran/military status, religion, national origin, ancestry, marital, or familial status, genetic information, citizenship, or any other status protected by law. If you need assistance or a reasonable accommodation to complete the application process, please reach out to: recruiting@bpcs.com Blueprint believe in the importance of a healthy and happy team, which is why our comprehensive benefits package includes: Medical, dental, and vision coverage Flexible Spending Account 401k program Competitive PTO offerings Parental Leave Opportunities for professional growth and development Location: Hybrid in Redmond, WA

Senior Data Scientists, Conversational AI

Position Summary... ----------------------- What you'll do... --------------------- As part of the Emerging Tech team, this role is centered on deep technical execution and advanced modeling. As a Senior Data Scientist, you’ll focus on developing and experimenting with deep learning and multimodal generative models, working closely with engineers to bring research-grade ideas into real production systems. Immigration Sponsorship is not available in this role About Emerging Tech: Our Emerging Tech team drives Walmart’s AI transformation by building intelligent systems that influence how millions shop every day across our global retail ecosystem. We develop state-of-the-art generative and conversational AI that powers more proactive, connected, and personalized experiences. At this scale, every innovation you create not only reaches millions of customers worldwide but also comes to life in the very communities where you live, work, and shop. As aSenior DataScientistyou will: Contribute as a hands-on builder focused on model development and rapid experimentation. Execute complex deep learning and multimodal modeling work with a production mindset. Partner closely with engineering to deploy, monitor, and iterate on models in production. Influence adjacent teams through strong technical judgment and collaboration. Thrive in fastmoving, ambiguous spaces where learning fast and shipping value matters. Experience we are looking for: 3–6+ years in data science, deep learning, or applied ML. Proven, hands-on expertise with modern deep learning frameworks. Experience training, finetuning, and evaluating large models. Ability to work with large datasets and curate domain specific training data. Track record of close collaboration with engineering partners. Strong analytical skills and clear, concise communication. Research mindset with real world impact; publications are a plus, not a requirement. About Walmart Global Tech: Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That's what we do at Walmart Global Tech. Were a team of software engineers, data scientists, cybersecurity experts and service professionals within the world's leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail. Walmart's culture is a competitive advantage, and its fostered by being together. Working together in person allows us to collaborate, align quickly and innovate with greater speed. We use our campuses to create purposeful connection rooted in deepening understanding and investing in the development of our associates. Our hubs: Walmart is a global company with offices across the United States and around the world. Our global headquarters is in Bentonville, Arkansas, with primary hubs in the San Francisco Bay area and New York/New Jersey. Benefits: Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more. Equal Opportunity Employer: Walmart, Inc. is an Equal Opportunity Employer – By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing unique styles, experiences, identities, ideas, and opinions – while being inclusive of all people. The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process. Your Career Journey at Walmart At Walmart, we want to make sure your experience connecting with us is seamless and straightforward. Here’s what to expect when interacting with us as recruiters: We’ll reach out via verified LinkedIn profiles or emails ending in "@walmart.com.” or “@samsclub.com”. All job opportunities and applications are hosted on our official careers site: http://careers.walmart.com. There is no cost or payment required to apply or be considered for a position. If you have any doubts about a communication, feel free to visit our careers page to verify authenticity. Thank you for exploring opportunities at Walmart! At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. For information about benefits and eligibility, see One.Walmart. Sunnyvale, California US-11656: The annual salary range for this position is $117,000.00 - $234,000.00 Bellevue, Washington US-11663: The annual salary range for this position is $108,000.00 - $216,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include : Stock ㅤ ㅤ ㅤ ㅤ ‎ Minimum Qualifications... ----------------------------- Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Option 1- Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 years' experience in an analytics or related field.Preferred Qualifications... ------------------------------- Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.Primary Location... ----------------------- 1375 Crossman Ave, Sunnyvale, CA 94089-1114, United States of America Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

Senior Data Scientist

SENIOR DATA SCIENTIST Real Estate Analytics \& Forecasting Location: In-Office Required Employment Type: Full-Time Salary Range: $120,000 – $155,000 per year ABOUT US AGM Real Estate Group, a service leader and innovator in the asset | property management industry and its brokerage partner, Lee \& Associates Commercial Real Estate Services Pacific Northwest, has combined multi-billion in assets under control including HOA, commercial, multifamily, and single-family real estate investments. AGM's progressive platform enables transparency, reach, and real time visibility for Board members, tenants and investors. Through an intuitive and seamless experience, clients receive personalized service combined with in-depth expertise, and the best of the industry's evolving tools and technology. AGM's team of like-minded, determined professionals continue to enable clients’ success as well as each other's growth within the industry. AGM Real Estate is committed to providing an unwavering level of professionalism. ABOUT THE ROLE We are hiring a Senior Data Scientist to lead advanced analytics and modeling across a growing real estate platform. This role owns the development of predictive models, performance dashboards, and analytical frameworks that directly influence profitability, operational strategy, and investment decisions. This is a high-impact role working closely with senior leadership. RESPONSIBILITIES ▪ Design and maintain predictive models for rent growth, vacancy, delinquency, expenses, and NOI ▪ Build executive-level dashboards for portfolio and asset-level performance ▪ Analyze leasing velocity, trade-out spreads, concessions, and renewal behavior ▪ Support acquisition underwriting, scenario modeling, and hold/sell analysis ▪ Establish data standards, governance, and quality controls ▪ Translate complex analysis into clear insights for leadership ▪ Mentor junior analysts and improve analytics processes QUALIFICATIONS ▪ Bachelor’s degree (Master’s preferred) in Data Science, Statistics, Economics, Finance, or related field ▪ 5–8+ years of experience in data science, analytics, or quantitative roles ▪ Advanced proficiency in Python or R, SQL, and BI tools ▪ Strong financial modeling and business acumen ▪ Experience presenting insights to non-technical stakeholders PREFERRED ▪ Experience in real estate, asset management, or property management ▪ Familiarity with AppFolio, Yardi, MRI, or similar platforms ▪ Experience with forecasting, time-series analysis, or machine learning models ▪ Comfort operating in a fast-paced, growing organization WHAT WE OFFER ▪ Competitive salary and performance bonus ▪ High visibility and influence across leadership ▪ Opportunity to shape analytics strategy ▪ Stable, growth-oriented real estate platform ▪ Collaborative, professional work environment EQUAL OPPORTUNITY EMPLOYER We are an equal opportunity employer and value diversity at all levels of the organization. Benefits Competitive salary commensurate with experience. Health, dental, and vision insurance. 401(k) retirement plan. Paid time off and holidays. Professional development opportunities. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Job Type: Full-time Pay: $120,000.00 - $155,000.00 per year Benefits: 401(k) 401(k) matching Dental insurance Health insurance Health savings account Life insurance Paid time off Vision insurance Experience: Property Leasing: 1 year (Required) Customer service: 1 year (Required) Ability to Relocate: Bellevue, WA 98005: Relocate before starting work (Required) Work Location: In person

Senior Data Scientist

Our Work Matters At Kindeva we make products that save lives, ensuring better health and well-being for patients around the world. The Impact You Will Make The Data Scientist role is a pivotal position within our pharmaceutical organization, responsible for ensuring compliance with FDA guidance while driving the adoption of state-of-the-art technologies. This role involves adhering to and implementing statistical methodologies to support various projects, including product development, quality control, and production processes. The Data Scientist will collaborate closely with cross-functional teams to provide data-driven insights and solutions, leveraging advanced analytical tools and technologies. Additionally, the role includes responsibilities in data architecture, focusing on ELT processes and broader data management strategies to enhance data integration and management across the organization, while ensuring validated data requirements are met. Role Responsibilities: Statistical Analysis: Design and conduct statistical analyses for production processes, product development, and quality control, ensuring compliance with FDA guidelines. Data Architecture: Develop and maintain data models, data flows, and data integration processes to support data-driven decision-making. AI and Advanced Analytics: Drive the adoption of AI and advanced analytics techniques to improve data analysis and insights. Acceptance Sampling Plans and OC Curves: Develop and implement acceptance sampling plans and Operating Characteristic (OC) curves to ensure product quality and compliance with regulatory standards Collaboration: Work closely with cross-functional teams, including R\&D, quality assurance, production operations and IT, to understand data requirements and deliver innovative solutions. Data Governance: Establish and enforce data governance policies and procedures to ensure data quality, consistency, and security. Training and Support: Provide training and support to team members on statistical principles, data architecture, and the use of analytical tools. Develop and maintain KPIs and other metrics, including the use of production process control charts, to identify, analyze, and interpret trends or patterns in complex data sets. This includes applying techniques such as Control Charts, Ppk, Cpk, Nelson Rules, and Normality assessments Qualifications: Bachelor's in Statistics, Biostatistics, Data Science, or a related field with minimum of 6 years of experience in data analysis. Master's degree in Statistics, Biostatistics, Data Science, or a related field with minimum of 3 years of experience in data analysis. Strong statistical skills with the ability to identify, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy Preferred: Experience with Acceptance Sampling Plans, OC Curves, Confidence Intervals and Equivalence Testing Preferred: Proven experience with FDA guidelines and regulatory requirements for cGMP and FDA CFR 211/820 Experience with data architecture, including SQL, ELT processes. Preferred: Proficiency in statistical tools such as R, Minitab, and PowerBI. Knowledge of AI and advanced analytics techniques. Familiarity with data governance and data quality frameworks. Preferred: Version Control (Git) * Preferred: Dashboard Visualizations (Power Bi, Shiny, Tableau) California residents should review our Notice for California Employees and Applicants before applying. Kindeva does not accept unsolicited assistance from headhunters or recruitment firms for any of our job openings. Any resumes or candidate profiles submitted to Kindeva employees—regardless of format—without a valid, signed agreement and an approved job order from an authorized signatory in Talent Acquisition will be considered the sole property of Kindeva. No fees will be paid in the event that a candidate is hired as a result of an unsolicited resume or referral. Equal Opportunity Employer: Kindeva Drug Delivery is an Equal Opportunity/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, gender, age, national origin, disability, Protected Veteran status, sexual orientation, or any other characteristic protected by federal, state or local law. Do you see yourself as part of the Kindeva mission? Click Apply Now Today!

Senior Data Scientist

Job Type: Permanent Build a brilliant future with Hiscox Position: Senior Data Scientist Reporting to: Lead Data Scientist Location: London Type: Permanent As a Senior Data Scientist at Hiscox, you will take on a high-impact role, acting as a critical thinker and problem solver for the business. You’ll apply your core technical skills and innovative thinking to tackle complex challenges, identify opportunities, and help shape data-driven decision-making across the London Market. You’ll operate across a wide variety of business functions, managing multiple priorities and delivering both ad hoc analysis and predictive/prescriptive models. Your work will contribute directly to building Hiscox’s data culture and enabling evidence-based decisions in a fast-paced, evolving environment. Communicating the business value of your analytical solutions to stakeholders will be a key part of your role. You’ll be part of an award-winning team, recognised for its pioneering collaboration with Google to deliver the market’s first AI-enhanced lead underwriting solution. This achievement reflects the team’s commitment to innovation, impact, and excellence in applying data science to real-world insurance challenges. As a Data Scientist, you’ll work within a wider technical team whose efforts span multiple business functions, bringing a multi-disciplinary approach to problem solving and analysis. This is an ideal role for someone who is passionate about using analytics to influence decisions and is keen to continue learning and delivering value through data. You’ll be expected to conceptualise new approaches, communicate your vision clearly to stakeholders, and see ideas through to implementation. Key Responsibilities: Leveraging industry standards, past experience, emerging methodologies and empirical research to develop critical inputs to business information and helping business leaders develop innovative approaches to driving their business. Working on the end-to-end data solution including understanding complex business challenges, designing scientific solutions, working with large and small data sets (including 3rd party and internal data of a wide variety), using cutting-edge machine learning or statistical modelling techniques to derive insights Work collaboratively with data scientists, data engineers and other technical people including pricing and underwriting teams in order to help support maturation of analytics practice within the organisation. Work closely with other members of the data and analytics community at Hiscox, contributing to delivering value though the use of a range of analytics techniques. Person Specification: Degree in a STEM or closely related field or equivalent experience. A further degree is a plus. Deep data science experience with a history of influencing decisions and delivering solutions that create tangible business value. Experience of data science in finance or insurance is an advantage but not required. Ability to conduct high quality research in a suitably timely manner working in both independently and in small teams as required by the task. Familiarity with version control, agile working and other IT delivery tools is required Skills: Experience in developing predictive and prescriptive analysis (predictive modelling, machine learning or data mining) used to draw key business insights and clearly articulate findings for target audience. Experience with analytical tools / programming languages and databases (for example: Python, R, SQL). Experience with large language models and prompting, GCP experience is a plus. Interest in a variety of machine learning techniques from simple linear models and random forests to deep learning. A particular interest in natural language processing or machine vision. A strong grasp of foundational statistics is essential. Experience working both in small teams and independently on analytics projects. Strong verbal and written communications skills and effective presentation skills. This is absolutely essential since you will have a lot of exposure to different internal stakeholders. Willingness to learn best practice in software development. Knowledge of insurance is an advantage but not essential. Apply now for further information Work with amazing people and be part of a unique culture*

Senior Data Scientist

(Senior) Data Scientist

Senior Data Scientist (m/f/d)

Senior Data Scientist

Senior Healthcare Data Scientist - AI/ML

Senior Applied Data Scientist

Senior Data Scientist

We are looking for a Senior Data Scientist to join the AI Platform Team at Smartly! Our team works on helping marketers make the most of their ad creatives (images, video, text) and campaigns (product and performance data). We build and experiment with AI-based solutions across the media and creative workflows. You will have the opportunity to take ownership of and work on high impact projects. Join us in building high impact ML-based solutions to help our customers to build better and more effective advertising experiences for their consumers. If you're a growth minded individual who has a passion for Data Science and the marketing space, this team is for you! As a Senior Data Scientist, you'll: --------------------------------------- Implement, build, and deploy scalable models and machine learning solutions that enable our users to craft great advertising experiences and campaigns with a focus on maintainability, observability, scalability and stability. Own projects end-to-end: from problem framing and data exploration to modeling, validation, and monitoring in production. Work with a large span of datasets from image to video to audio to text to structured performance data. Analyze large-scale datasets to uncover insights, trends, and opportunities that inform product strategy and customer outcomes. You'll work alongside our stellar data scientists, senior machine learning engineers, and software engineers to enable us to productionize AI/ML applications more robustly and efficiently. Be a core contributor of our team and our ways of working to build high impact products. You'll actively be involved in work planning, retrospectives, and overall team improvement. Impact the daily life of the staff of the hundreds of advertisers using Smartly Work with our stakeholders - be them product, engineering, infrastructure - to ensure we meet customers where they are. Being able to translate business/product needs to viable solutions is a must. Apply and enhance your soft skills through working closely with your colleagues and our customers. Doing knowledge shares, running productive meetings, and pair programming/debugging are just some ways we grow our soft skills. Keep up to date with the latest AI innovations, especially in areas such as generative AI, computer vision, natural language processing and explainability. What we are looking for: ---------------------------- 5+ years of experience in data science or applied machine learning 2+ years of experience working with cloud infrastructure such as AWS or GCP Strong foundation in linear algebra, statistics, and calculus Fluent in Python; experience with C++ or Java is a plus Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow) Knowledge of MLOps concepts and tools (e.g., MLflow, Kubeflow) Experience in feature engineering, model design, evaluation, diagnostics, and monitoring Analytical mindset with a problem-solving approach Passion for solving customer challenges quickly while making thoughtful architectural decisions Ability to communicate complex technical findings to both technical and non-technical stakeholders. Strong written and verbal communication skills in English M.Sc. in a relevant field is preferred Ability and willingness to work in a hybrid capacity from our office 3 days a week What We Offer You: ---------------------- Inclusive Culture: Join a team of over 750 Smartlies representing more than 60 nationalities across 24 locations in 13 countries, we foster a culture built on trust, transparency, and open feedback. Global Impact: Be part of a company making a global impact, directly influencing our customers and business growth. Wellbeing Focus: Enjoy generous healthcare packages, mental health services, and a healthy work-life balance with paid holidays and family leave. Total Rewards: Benefit from equity options, performance-based rewards, competitive compensation, and ample career development opportunities. Hybrid Workplace: We work in a hybrid model, balancing office and remote work, with the option to work abroad for up to 30 days. Smartly is committed to being the best place to work for growth-minded individuals to thrive - explore more in our Culture Handbook! #LI-OK #LI-Hybrid About Smartly ----------------- Smartly is the AI-powered advertising technology company transforming ad experiences for brands and their consumers. Our comprehensive advertising platform seamlessly integrates the capabilities of media, creative, and intelligence to power more than 800 billion impressions and generate more than 300 billion creatives annually, delivering tangible business outcomes for brands and advertisers. Smartly is the only company in the industry recognized as a Leader in The Forrester Wave: Creative Advertising Technologies with PwC validating the results it delivers for brands. We manage creative and media for 700+ brands worldwide and $6B in ad spend across the largest media platforms, including Facebook, Google, Instagram, Pinterest, Snap, and TikTok. Our end-to-end technology, unmatched access to media platforms and exceptional customer service help Fortune 500 brands to reach and engage consumers and learn what performs best.Smartly is a multinational and diverse team of 750+ Smartlies from 60+ nationalities, working in 13 countries. Together, we want to create and maintain an inclusive environment where everyone feels respected and heard. Our Diversity, Equity \& Inclusion approach is at the heart of it. Visit Smartly to learn more.

Senior Data Scientist

Senior Data Scientist

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Senior Data Scientist

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Senior Data Scientist

Senior Data Scientist

Senior Data Scientist - AI Practice Team

We are seeking an exceptional Senior Data Scientist to join us full-time in our Artificial Intelligence (AI) Practice Team, Europe. In this role, you will lead the design and delivery of analytics and machine learning solutions across policy, data, and document-centric AI engagements, working with complex real-world datasets from industrial and asset-intensive domains. You will partner closely with consultants, domain experts, and junior data scientists to turn client data into robust models, reusable assets, and decision-ready insights. Based in Warrington or London England with some remote flexibility, you will help shape our technical approaches, uplift data science practices, and ensure solutions are production-aware and business-relevant. What You Will Do: Lead the preparation, exploration, and analysis of client data (tabular, time-series, and document-based) to enable robust modeling, feature engineering, and insight generation. Design, implement, and validate machine learning models and analytics pipelines, including problem framing, model selection, evaluation, and iteration for real-world performance. Drive advanced use of NLP and document understanding techniques to extract, transform, and enrich information from reports, PDFs, logs, and other unstructured sources. Build and maintain clear, impactful dashboards, reports, and visualizations (e.g., in Python, Power BI, or similar tools) to communicate findings to consultants and client stakeholders. Collaborate with consultants and domain experts to translate business problems into analytical solutions, articulate trade-offs, and present recommendations to technical and non-technical audiences. Ensure technical quality, reproducibility, and governance by establishing good practices for code, documentation, data management, and model tracking across projects. Mentor and support junior data scientists, providing guidance on methods, tooling, and best practices, and reviewing their work for quality and consistency. What You Will Need: Education and Experience Bachelor’s degree in a STEM discipline (e.g., Data Science, Computer Science, Engineering, Mathematics, Statistics) or related field; Master’s degree preferred or equivalent experience. 5+ years of experience applying data science and machine learning in professional settings, including end-to-end delivery of analytics/ML solutions. Proven track record working with real-world, messy datasets (including unstructured/document data) across the full lifecycle: data preparation, modeling, evaluation, and deployment handoff. Experience leading or owning significant workstreams within AI/ML or analytics projects, ideally in consulting, industrial, or asset-intensive environments. Practical experience working with cloud-based and modern data platforms (e.g., Azure, AWS, GCP, Databricks) and integrating with enterprise data sources and workflows. Knowledge, Skills, and Abilities Deep proficiency in Python for data science (pandas, scikit-learn, and related libraries) and strong SQL skills for working with relational and analytical data stores. Strong grounding in statistics, machine learning, and model evaluation, including supervised/unsupervised methods, feature engineering, and performance diagnostics. Hands-on experience with NLP and document understanding (e.g., text preprocessing, embeddings, classification, information extraction, transformers/LLMs) applied to real datasets. Ability to design and implement robust, maintainable analytics and ML pipelines, using notebooks and production-ready code with Git-based version control. Familiarity with modern data and ML tooling (e.g., Databricks, MLflow, Docker, CI/CD for data/ML) and good practices for experiment tracking and reproducibility. Proficiency with BI/visualization tools (e.g., Power BI, Tableau) and data storytelling skills to communicate complex analytical results to non-technical stakeholders. Excellent communication and stakeholder engagement skills, with the ability to frame analytical approaches, explain trade-offs, and align solutions with business objectives. Proven ability to work across multiple projects, manage priorities, and operate in a fast-moving, consulting-style environment, while mentoring junior team members. Nice to have: exposure to industrial, maritime, or asset-intensive domains, or prior experience in AI consulting or client-facing roles. Must hold a valid right to work status in the UK. Reporting Relationships This role reports to the Project Manager and does not include direct reports.

Senior Data Scientist - Live Service Integrity

At Rockstar Games, we create world-class entertainment experiences. Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry. Rockstar is on the lookout for an experienced Data Scientist to join our Analytics team to scale our Game Security and Trust \& Safety capabilities. In this role, you'll develop sophisticated detection systems, establish community safety metrics, and leverage advanced analytics to protect our player communities through data visualization, anomaly detection, supervised learning, and community health measurement. This is a full-time, permanent and in-office position based in Rockstar's unique game development studio in the heart of Leeds, England. #### WHAT WE DO Partner with Trust \& Safety and Game Security teams to conduct high-impact projects that shape player safety policies, inform strategy, and ensure regulatory compliance (GDPR, DSA, OSA). Develop detection systems, advanced analytics models (graph analytics, NLP), and scalable machine learning applications protecting millions of players. #### RESPONSIBILITIES Drive complex investigations and data-driven strategies addressing cheating, griefing, toxicity, and harassment at scale. Develop and automate detection solutions for cheats, exploits, and violations with Game Security team. Serve as subject matter expert on Trust \& Safety metrics, regulatory compliance, and transparency reporting. Design sophisticated detection systems balancing player safety with user experience using rule-based and ML approaches. Translate complex analytical findings into actionable insights for technical and non-technical audiences, including executives. Establish and monitor Trust \& Safety and Anti-Cheat KPIs with dashboards enabling data-driven decisions. Mentor junior team members and advance analytical best practices. #### REQUIREMENTS Bachelor's in STEM field (Computer Science, Data Science, Statistics, Mathematics); advanced degree preferred. 5+ years in data science/analytics with expertise in Security, Anti-Cheat, Trust \& Safety, or related domains. Strong SQL proficiency with large-scale databases. Advanced Python, PySpark, and data science tools (numpy, pandas, scikit-learn) in cloud production environments. Required expertise in one: graph analytics for coordinated behavior, NLP for content moderation/toxicity, or network analysis for community safety. Experience with Trust \& Safety metrics, transparency reporting, and regulatory frameworks (GDPR, DSA, OSA). Exceptional communication and stakeholder management skills with ability to influence executive strategy. Expert data storytelling—translating sophisticated analytics into clear narratives driving policy decisions. Strategic thinking balancing player safety, user experience, and business objectives. Passion for creating safe, inclusive gaming communities. #### PLUSES Please note that these are desirable skills and are not required to apply for the position. Trust \& Safety and/or Anti-Cheat experience at gaming, social media, or UGC platforms. Real-time detection systems and streaming analytics experience. Advanced ML Techniques (Transformers, LLMs, GenAI) for content moderation. Graph analytics for coordinated behavior detection. Published research or thought leadership in Trust \& Safety, content moderation, or online community safety. Experience with big data technologies (PySpark) and cloud platforms (AWS, GCP, Azure, Databricks). Multilingual capabilities or experience with non-English content moderation challenges. #### HOW TO APPLY Please apply with a CV and cover letter demonstrating how you meet the skills above. If we would like to move forward with your application, a Rockstar recruiter will reach out to you to explain next steps and guide you through the process. Rockstar is committed to creating a work environment that promotes equal opportunity, dignity and respect. In line with this commitment, Rockstar will provide reasonable accommodations to qualified job applicants with disabilities during the recruitment process in order for such applicants to be considered for the position for which they are applying, as well as to qualified employees to enable them to perform the essential functions of their roles. If you need more information about Rockstar's reasonable accommodation policies or process, or need to request an accommodation, please notify your recruiter during the interview process. If you've got the right skills for the job, we want to hear from you. We encourage applications from all suitable candidates regardless of age, disability, gender identity, sexual orientation, religion, belief, race, or any other protected category. #LI-SD1

Senior Data Scientist | Digital Services

From $55,612/yr

Salary £55,612 - £60,147 per annum | Permanent, Full time 37 hours per week | Preston International Sponsorship – this role is not open to international sponsorship Are you ready to lead advanced data science projects and mentor a talented team? Lancashire County Council is seeking a Senior Data Scientist to deliver impactful solutions that support service improvement and innovation. You will design and implement complex analytical models, drive the adoption of modern technologies, and foster professional growth within the team. You will work on a range of use cases, including improving outcomes in Adult and Children’s Social Care, developing automation solutions to enhance service efficiency, and building forecasting models to support strategic decision-making. What You’ll Be Doing; Leading the design and delivery of advanced data science solutions Mentoring and supporting Data Scientists and Data Analysts Translating strategic objectives into actionable projects Engaging with stakeholders to deliver data-driven solutions Promoting best practice in data governance, ethics, and security What We’re Looking For; Honours degree or equivalent experience in computer science, data science, mathematics, statistics, or a related field Relevant professional qualification or equivalent experience in data science, analytics, or machine learning Significant experience in a senior leadership role within data science or analytics Strong technical expertise in advanced analytics, machine learning, and cloud platforms Excellent communication and stakeholder engagement skills Closing Date: 15/02/2026 Why join us? By joining Lancashire County Council, you can shape the career path that is right for you, with opportunities to gain personal and professional qualifications, coaching, and mentoring. Lancashire County Council truly is the place where you can have the career you've always wanted. In return for your passion and expertise, we offer a generous benefits package, which includes: A competitive salary and Local Government Pension Scheme with generous employer contributions. A great holiday entitlement of 26 days annual leave, which increases with length of service. You will also be entitled to 8 Bank Holidays, 2 additional statutory Bank Holidays, and have the option to buy additional leave each year. Our staff discount scheme in partnership with Vivup, allowing you to access discounts with a range of UK retailers, saving on everything from weekly food shops to white goods and cars. Access to fantastic development and career opportunities. Please ensure you upload a supporting statement demonstrating how you meet the criteria for the role. We reserve the right to close the vacancy early if we receive sufficient applications. Job Description \& Person Specification

Senior Data Scientist, Sports

Company Description At bet365, we're one of the world's leading online gambling companies, revolutionising the industry since 2000. Founded by Denise Coates CBE, we now employ over 9,000 people and serve over 100 million customers in 27 languages. Our focus on In-Play betting has solidified our market-leading position, offering an unmatched experience across 96 sports and 700,000 streaming events. With over 750 concurrent sporting fixtures at peak and more live sports streamed than anyone else in Europe, we handle over 6 billion HTTP requests daily and process more than 2 million bets per hour at peak. We empower our employees to push boundaries and explore new ideas, cultivating a culture that celebrates and rewards creativity. This offers employees a wealth of opportunities for growth, giving them the opportunity to make a real impact in the world of online gambling. As a forward-thinking company, we’re breaking new ground in software innovation too, redefining what’s possible for our customers worldwide. Job Description As a Senior Data Scientist, you will develop probabilistic models that power real-time betting markets. The Quantitative Analysis team designs, develops, and maintains sophisticated mathematical models to provide accurate pricing across our sports betting products. Working with extensive sports datasets, you will develop models that determine odds and power in-play betting decisions. You will apply state-of-the-art machine learning techniques to sports data, collaborating with talented professionals in a fast-paced and dynamic environment. Our fast-paced, delivery-focused environment offers significant opportunities for technical growth and innovation. This role is eligible for inclusion in the Company's hybrid working policy. Qualifications Proven track record of designing, developing, and deploying sophisticated predictive models. Degree in Mathematics, Data Science, Computer Science, or a related quantitative field. Excellent understanding of statistical analysis and probability theory, with the ability to apply advanced techniques to complex, real-world problems. Mastery of Python/R, with extensive experience in designing and implementing complex machine learning solutions using frameworks such as scikit-learn, TensorFlow, or PyTorch. Excellent verbal and written communication skills for presenting complex data-driven insights to both technical and non-technical audiences. Strong understanding of a wide range of sports and the online gambling industry. Demonstrated ability to design and implement models that are highly accurate, computationally efficient and scalable for large-scale production environments. Experience mentoring junior colleagues, leading technical projects, and contributing to the success of a team. Experience with cloud computing environments. Additional Information Applying creative and innovative thinking to solve complex problems that do not have prescriptive solutions. Conducting advanced analysis of large datasets to extract insights and inform decision-making in sports betting. Utilising statistical techniques and machine learning algorithms to develop predictive models and algorithms. Performing rigorous statistical validation of models against historical and live data. Collaborating with trading teams to incorporate domain expertise into mathematical models. Collaborating with Software Architects and developers to ensure alignment with technical solutions. Optimising model performance for both accuracy and computational efficiency. Researching and implementing novel approaches from academic literature and industry developments. Providing support to less experienced team members and carry out QA of work. * Identifying and defining new opportunities for data-driven insights. By applying to us you are agreeing to share your Personal Data in accordance with our Recruitment Privacy Notice - https://www.bet365careers.com/privacy-policy At bet365, we're committed to creating an environment where everyone feels welcome, respected and valued. Where all individuals can grow and develop, regardless of their background. We're Never Ordinary, and we're always striving to be better. If you need any adjustments or accommodations to the recruitment process, at either application or interview, please don’t hesitate to reach out.

Senior Data Scientist (Agent Evaluation & Optimisation)

(Senior) Data Scientist AI & Generative AI (all genders)