Data Scientist Jobs in England

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.

Data Scientist

From $12/yr

Data Scientist - AI \& Machine Learning Location: UK Contract: 12 months Working Pattern: Hybrid - minimum 2 days per week in the office I'm recruiting for a Data Scientist to join an exciting AI and machine learning programme, where you'll help transform complex business challenges into practical, data-driven solutions. You'll work alongside multidisciplinary teams to frame problems, explore different approaches and develop advanced machine learning models and AI applications. This is an opportunity to contribute to the development of data science products, combining classical ML techniques with emerging LLM-based solutions. Key Responsibilities: * Analyse and process large datasets from multiple sources. * Develop and evaluate machine learning models and AI applications using Python. * Apply statistical analysis to interpret results and support informed decisions. * Define problem statements, evaluation metrics and experiment designs. * Contribute to LLM evaluation, prompt engineering and RAG-based approaches. * Work with business stakeholders to communicate findings and model outcomes. * Support the development of data science products and provide technical guidance to junior team members. Key Skills \& Experience: * Strong Python skills for machine learning and data science. * Experience with classical machine learning and LLM development and evaluation. * Understanding of problem framing and AI/ML evaluation metrics. * Knowledge of prompt engineering and Retrieval-Augmented Generation (RAG). * Experience designing experiments and working with model cards. * Ability to interpret complex statistical results and communicate findings. For more information or to apply directly, please email. I review applications daily and will contact shortlisted candidates as quickly as possible.

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 Analyst/Scientist

From $60,000/yr

DATA ANALYST/SCIENTIST BERKSHIRE/HYBRID UP TO £60,000 This is an exciting opportunity to join a growing organisation undergoing a major data transformation. You'll play a key role in building the foundations for advanced analytics, machine learning, AI-driven automation, and predictive modelling, helping the business make better operational and strategic decisions. ROLES AND RESPONSIBILITIES: The Data Analyst/Scientist will: * Build and maintain robust data models to support reporting, analytics, and machine learning initiatives. * Improve data quality, standardisation, and reconciliation across multiple source systems. * Develop approaches for entity resolution, fuzzy matching, and record consolidation. * Support the migration and development of a Snowflake-based data platform. * Create Power BI dashboards and reporting solutions for operational and leadership teams. * Develop forecasting models to support planning, performance monitoring, and resource allocation. * Explore AI and machine learning applications including document processing and information extraction. * Work with structured and unstructured datasets to create trusted, business-ready data assets. * Collaborate with stakeholders to translate commercial and operational challenges into analytical solutions. * Contribute to the development of predictive models focused on risk, performance, and operational optimisation. Your Skills \& Experience * Strong SQL and data modelling experience. * Experience working with cloud data platforms, ideally Snowflake. * Commercial experience working with complex or fragmented datasets. * Strong understanding of data quality, reconciliation, and master data challenges. * Experience building analytical, forecasting, or predictive models in Python. * Power BI reporting and dashboard development experience. * Exposure to machine learning, AI, or advanced analytics techniques. * Ability to engage with stakeholders and communicate technical concepts clearly. * STEM-related degree or equivalent analytical background. APPLY BELOW Desired Skills and Experience DATA ANALYST/SCIENTIST BERKSHIRE/HYBRID UP TO £60,000 This is an exciting opportunity to join a growing organisation undergoing a major data transformation. You'll play a key role in building the foundations for advanced analytics, machine learning, AI-driven automation, and predictive modelling, helping the business make better operational and strategic decisions. ROLES AND RESPONSIBILITIES: The Data Analyst/Scientist will: Build and maintain robust data models to support reporting, analytics, and machine learning initiatives. Improve data quality, standardisation, and reconciliation across multiple source systems. Develop approaches for entity resolution, fuzzy matching, and record consolidation. Support the migration and development of a Snowflake-based data platform. Create Power BI dashboards and reporting solutions for operational and leadership teams. Develop forecasting models to support planning, performance monitoring, and resource allocation. Explore AI and machine learning applications including document processing and information extraction. Work with structured and unstructured datasets to create trusted, business-ready data assets. Collaborate with stakeholders to translate commercial and operational challenges into analytical solutions. Contribute to the development of predictive models focused on risk, performance, and operational optimisation. Your Skills \& Experience: Strong SQL and data modelling experience. Experience working with cloud data platforms, ideally Snowflake. Commercial experience working with complex or fragmented datasets. Strong understanding of data quality, reconciliation, and master data challenges. Experience building analytical, forecasting, or predictive models in Python. Power BI reporting and dashboard development experience. Exposure to machine learning, AI, or advanced analytics techniques. Ability to engage with stakeholders and communicate technical concepts clearly. STEM-related degree or equivalent analytical background. APPLY BELOW

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

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.

All-Source Intelligence Data Scientist

From $99,000/yr

Job Number: R0249693 All-Source Intelligence Data Scientist The Opportunity: Massive volumes of multi-INT data including structured, semi-structured, and unstructured, demand disciplined analysis to drive timely, mission-relevant insight. As a Data Scientist supporting All-Source Intelligence, you will fuse information across SIGINT, HUMINT, GEOINT, OSINT, and related sources to build analytical models, automate pipelines, and surface decision-quality assessments for senior leaders and operators. You’ll partner closely with intelligence professionals to translate collection requirements into repeatable, data-driven workflows, design and implement algorithms that uncover patterns of life, and deliver intuitive visualizations that accelerate sense-making and operational advantage. Work with us as we apply data science to advance national security missions. What You’ll Do * Engage stakeholders to elicit analytic questions and transform them into technical requirements and prioritized backlogs, and drive transparency through agile practices and frequent updates. * Design end-to-end data solutions: ingestion from collection systems and APIs, schema design and data storage, transformation/ETL, model training and evaluation, and operational delivery. * Develop statistical and machine learning models for entity resolution, anomaly detection, classification, clustering, and pattern-of-life analysis across multi-INT datasets. * Build dashboards and lightweight applications that communicate key insights, assessments, and confidence levels to audiences with varied technical backgrounds. * Guide teammates, set technical standards, and lead the evolution of analytic tradecraft leveraging modern data ecosystems. Join us. The world can’t wait. You Have: * 5+ years of experience in data science, including exploration, cleaning, analysis, visualization, or data mining, with demonstrated work across structured and unstructured sources * Experience in Python and SQL or R, and with Pandas or NumPy, scikit-learn, and model evaluation or tuning * Experience building ETL pipelines and querying APIs using tools such as Airflow or dbt, and Git-based version control * Experience developing predictive models and quantitative analyses that support intelligence assessments and operational decision-making * Experience applying NLP or text mining to reporting and open-source content * Experience integrating multi-INT data such as SIGINT, HUMINT, GEOINT, OSINT, or MASINT, and performing pattern-of-life analysis * Ability to synthesize narrative and quantitative findings * Active TS/SCI clearance; willingness to take a polygraph exam * Bachelor’s degree in a quantitative field such as Mathematics, Statistics, Computer Science, or Data Analytics Nice If You Have: * Experience with Palantir Foundry, such as Pipeline Builder or AIP, or similar platforms for application development and data integration * Experience with distributed data and compute, such as Spark or Databricks, Hadoop or Hive, Kafka, or AWS EMR, and cloud environments used by the IC * Experience with geospatial analysis tools, such as ArcGIS or ArcPro, and GEOINT collection systems, and with Grafana, Power BI, or Tableau * Experience with deep learning frameworks, such as PyTorch or TensorFlow, and modern AI patterns such as retrieval-augmented generation (RAG) for analytic workflows * Experience supporting CCMDs, service components, or special operations * Master’s degree in a related technical field * DoD 8140 baseline Level II certification such as Security+, CySA+, or CISSP 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 (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

Data Scientist/Engineers x5 - DV Clearance Required

Role Overview Kaze Consulting is growing, driven by rising demand from clients who want to move beyond the promise of AI and apply it to solve complex, real-world problems that matter. We are looking for 5x technically strong Data Scientists/Engineers to join our Data \& AI team, working on complex data-driven problems within secure government environments. This role combines data science, software engineering and data engineering. You will work across the full data science lifecycle: understanding operational and business problems, defining data requirements, exploring and preparing large datasets, developing analytical and machine-learning solutions, evaluating performance, and taking successful proofs of concept through to production. The role suits someone with a strong technical foundation in Computer Science, Physics or a related quantitative discipline, who is comfortable working directly with large-scale data platforms. Key Responsibilities • Work with stakeholders to translate complex business and operational problems into clear analytical and data science requirements. • Contribute across the full data science lifecycle, from discovery, data requirements and collection through understanding, preparation, modelling, evaluation, deployment and feedback. • Develop proofs of concept and progress successful approaches into robust, production-ready solutions. • Work with large and complex datasets hosted within Hadoop and/or Stackable-based data platforms. • Build scalable processing and analytical workflows using Python, SQL, Spark and PySpark; query distributed datasets using Trino and Hive. • Develop and maintain Jupyter and Python data science environments, alongside scheduled analytical and processing workloads, including orchestration of Trino queries. • Perform data exploration, feature engineering, statistical analysis and machine-learning model development where appropriate. • Apply strong engineering practices, including modular development, testing, version control, reproducibility and maintainability. • Work with engineers, architects, analysts and operational stakeholders to integrate analytical capabilities into wider platforms. • Evaluate solutions against technical and operational requirements; use feedback to improve them iteratively. • Contribute to technical documentation, architecture decisions and knowledge sharing. • Work within Agile/Scrum teams, contributing to planning, refinement, reviews and retrospectives. • Deliver in accordance with the security, governance and assurance requirements of UK Government and Defence environments Must Haves: * Be based in the UK and willing to travel onsite 2-3 days per week * Hold a British passport * Currently hold a valid DV clearance If you’re motivated by challenging work, inspired by the potential of AI, and want to be part of a team shaping how it is applied in the real world, we’d like to hear from you at hello@kaze-consulting.com