626 to 650 of 1,704 Data Science Jobs in the UK

sufficiency. We do this by providing client-side incubation support with ready-made out-of-the box capability supported by smart, execution-focussed practitioners. The Role Are you a data enthusiast with a passion for transforming raw information into meaningful insights? We’re looking for a talented Fabric/Data Consultant with expertise in Azure and Power BI … to join our dynamic team. This role is perfect for someone who enjoys working with cutting-edge technology, developing robust data architectures, and driving strategic business intelligence initiatives. If you're excited about helping organizations unlock the full potential of their data, we’d love to hear from you. Essential Expertise: Proven experience in data engineering with … exposure to Azure Synapse or Azure Data Factory or Databricks. Familiarity with Microsoft Fabric or a strong willingness to learn and adapt to its ecosystem. Proficiency in Python programming with a focus on data manipulation and engineering. A genuine interest in data science and a drive to expand your skillset into predictive analytics, machine learning, or More ❯

Help Shape the Future of Football Through Data The Football Association (The FA) is investing in advanced digital and data capabilities to transform how we engage with the game, from grassroots and development of home-grown coaches to fan experience and business operations. As part of this transformation, we're expanding our team with ambitious, forward-thinking professionals. … We're excited to offer a newly created opportunity for a Data Scientist to play a key role in delivering impactful, data-driven solutions across the organisation. As a Data Scientist at The FA, you'll be central to our data transformation, working across areas such as grassroots initiatives, coaching pathways, fan engagement, and operations. From … day one, you'll lead the development and deployment of data science solutions. You will collaborate with cross-functional teams to build scalable systems, maintain robust data pipelines, and integrate machine learning models into real-world applications that make a measurable impact. Key Responsibilities: Apply machine learning and predictive modelling to optimise player development, grassroots participation, and More ❯

Payments Optimisation Reporting to: Chief Product & Technology Officer Direct Reports: Currently iC Role Location: London HQ - 3 days in office, 2 days home OVERVIEW: Are you passionate about using data, technology, and payments expertise to drive tangible customer value? We're looking for an experienced and commercially minded Senior Product Manager, Payments Optimisation to lead the evolution of our … optimisation and orchestration products, scaling them to the next level. You'll operate at the intersection of Product, Data Science, and Commercial teams, translating analytical insights into measurable business outcomes for our customers and for APEXX. This role is ideal for someone who enjoys connecting complex technical capabilities with commercial value, inspiring cross-functional alignment, and ensuring optimisation … evolution of optimisation from a capability into a scalable product line, influencing its positioning, packaging, and monetisation. Provide thought leadership across the organisation on the role of AI and data-driven optimisation in payments. Cross-Functional Collaboration & Delivery Partner with Engineering and Data Science to develop AI/ML-powered optimisation features that improve authorisation, reduce cost More ❯

About WillHire WillHire is a modern staffing and talent acquisition platform helping leading organizations find exceptional talent. We’re now expanding into the Data & Analytics vertical and are looking for curious, driven, and analytical minds to join us as part of our Artificial Intelligence Internship Cohort. Role Overview As a Artificial Intelligence Intern at WillHire, you will collaborate with … our engineering and strategy teams to design data-driven solutions that power smarter hiring, workforce planning, and operational decision-making. This is a hands-on role where you’ll work on real business datasets to build production-ready analytics models and dashboards. Key Responsibilities Collect, clean, analyze, and transform structured & semi-structured HR and recruitment datasets Build predictive models … for talent forecasting, attrition risk, and candidate success scores Develop data visualizations, dashboards, and reports using Python, SQL & BI tools Perform EDA (exploratory data analysis) to uncover insights that inform recruitment strategies Work with time-series & cohort data for trend analysis and performance metrics Deploy statistical and ML algorithms (regression, clustering, classification) in scalable pipelines Communicate findings More ❯

About WillHire WillHire is a modern staffing and talent acquisition platform helping leading organizations find exceptional talent. We’re now expanding into the Data & Analytics vertical and are looking for curious, driven, and analytical minds to join us as part of our Artificial Intelligence Internship Cohort. Role Overview As a Artificial Intelligence Intern at WillHire, you will collaborate with … our engineering and strategy teams to design data-driven solutions that power smarter hiring, workforce planning, and operational decision-making. This is a hands-on role where you’ll work on real business datasets to build production-ready analytics models and dashboards. Key Responsibilities Collect, clean, analyze, and transform structured & semi-structured HR and recruitment datasets Build predictive models … for talent forecasting, attrition risk, and candidate success scores Develop data visualizations, dashboards, and reports using Python, SQL & BI tools Perform EDA (exploratory data analysis) to uncover insights that inform recruitment strategies Work with time-series & cohort data for trend analysis and performance metrics Deploy statistical and ML algorithms (regression, clustering, classification) in scalable pipelines Communicate findings More ❯

Job Title: Data Scientist (Contract, Hybrid – London) Location: London (Hybrid: 2–3 days/week in office) Contract Type 6–12 months (Contract, possible extension) About The Role We are seeking a skilled Data Scientist to join our dynamic team on a contract basis. You will work closely with cross-functional teams to extract actionable insights from complex … datasets, build predictive models, and support data-driven decision-making. This is a hybrid role, offering flexibility while being actively involved in the London office. Key Responsibilities Analyze large, structured and unstructured datasets to identify patterns and trends. Develop, validate, and deploy predictive models using machine learning and statistical techniques. Translate business requirements into technical solutions and actionable insights. … Collaborate with business stakeholders, data engineers, and analysts to support analytics initiatives. Create dashboards, reports, and visualizations to communicate insights to non-technical stakeholders. Ensure data quality, integrity, and security throughout the analytics lifecycle. Keep up-to-date with the latest developments in data science, AI, and machine learning. Required Skills & Experience Proven experience as a More ❯

Overview dunnhumby is the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. We always put the Customer First. Our mission is to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail, one of … passionate people to apply machine learning and statistical techniques to business problems. You'll contribute to the research and implementation of new approaches to address complex problems and perform data analysis and model validation. You'll have the opportunity to present results to a variety of internal stakeholders. You will apply these techniques and algorithms to create dunnhumby science solutions that can be delivered across our clients and engineered into science modules. This role will focus on how we ensure better decisions are made as part of category management, ensuring the right product is in the hands of the customer, by enhancing our data-led understanding of products and categories, optimising across space and range and More ❯

Role title: Data Scientist Specialist Location: Bristol Salary: Competitive salary and package (Depending on level of experience) Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which typically requires 5 years continuous UK address history usually including no periods of 30 consecutive days or more spent outside of the UK and declaration of … and with the communities in which we work and live. It is personal to all of us.” – Julie Sweet, Accenture CEO. We are a dynamic team of specialists in Data Science, Data Engineering, and MLOps, dedicated to delivering cutting-edge AI solutions within secure government and defence environments. Join us to be part of an inclusive and More ❯

Work experience in data science, machine learning, and business analytics. Skills and Experience Practical experience in coding languages (e.g., Python, R, Scala ) with a preference for Python. Strong proficiency in database technologies such as SQL, ETL, No-SQL, DW. Accenture is a global professional services company offering expertise in digital, cloud, and security solutions across various industries worldwide. More ❯

Today, Lonza is a global leader in life sciences operating across five continents. While we work in science, there's no magic formula to how we do it. Our greatest scientific solution is talented people working together, devising ideas that help businesses to help people. In exchange, we let our people own their careers. Their ideas, big and small … of work we want to be part of. The role: We seek an adept expert to contribute significantly to our R&D team, bridging machine learning engineering with applied data science. You'll improve and manage our Machine Learning Operations (MLOps) on Azure, and participate in creating, assessing, and advancing various machine learning models and AI systems. Collaborate extensively … with scientific and operational teams to guarantee the robustness, scalability, and reliability of our AI tools. Implementing automation and standardization throughout the ML lifecycle, your efforts will support quicker, data-informed decision-making and boost innovation. Help our CDMO's mission by turning research insights into practical solutions efficiently. Key responsibilities: Compose, construct, and uphold resilient machine learning operations More ❯

the Fraud & ID strategy: Develop a long-term vision for detection, prevention, and verification systems that scale with business growth Own the product roadmap: Translate strategic objectives into clear, data-driven product plans and prioritise ruthlessly based on risk impact and value Drive cross-functional alignment: Collaborate closely with engineering, data science, operations, compliance, and risk teams … in-class fraud and identity solutions where relevant, ensuring ROI and strong performance Champion user trust: Ensure every product decision strengthens trust and reduces friction for legitimate users Leverage data & experimentation: Use analytics, fraud signals, and machine learning models to detect anomalies, test hypotheses, and continuously improve outcomes Monitor performance: Define KPIs for fraud loss rate, false positive reduction … safety, identity verification, or payments, screening experience a plus Strong grasp of fraud detection systems, identity verification flows, and compliance frameworks (KYC, AML, SCA, GDPR, etc.) Experience working with data science , machine learning , or risk operations teams Analytical mindset comfortable working with dashboards, SQL, or data tools to drive insights Excellent stakeholder management and communication skills; can More ❯

the Fraud & ID strategy: Develop a long-term vision for detection, prevention, and verification systems that scale with business growth Own the product roadmap: Translate strategic objectives into clear, data-driven product plans and prioritise ruthlessly based on risk impact and value Drive cross-functional alignment: Collaborate closely with engineering, data science, operations, compliance, and risk teams … in-class fraud and identity solutions where relevant, ensuring ROI and strong performance Champion user trust: Ensure every product decision strengthens trust and reduces friction for legitimate users Leverage data & experimentation: Use analytics, fraud signals, and machine learning models to detect anomalies, test hypotheses, and continuously improve outcomes Monitor performance: Define KPIs for fraud loss rate, false positive reduction … safety, identity verification, or payments, screening experience a plus Strong grasp of fraud detection systems, identity verification flows, and compliance frameworks (KYC, AML, SCA, GDPR, etc.) Experience working with data science , machine learning , or risk operations teams Analytical mindset comfortable working with dashboards, SQL, or data tools to drive insights Excellent stakeholder management and communication skills; can More ❯

the Fraud & ID strategy: Develop a long-term vision for detection, prevention, and verification systems that scale with business growth Own the product roadmap: Translate strategic objectives into clear, data-driven product plans and prioritise ruthlessly based on risk impact and value Drive cross-functional alignment: Collaborate closely with engineering, data science, operations, compliance, and risk teams … in-class fraud and identity solutions where relevant, ensuring ROI and strong performance Champion user trust: Ensure every product decision strengthens trust and reduces friction for legitimate users Leverage data & experimentation: Use analytics, fraud signals, and machine learning models to detect anomalies, test hypotheses, and continuously improve outcomes Monitor performance: Define KPIs for fraud loss rate, false positive reduction … safety, identity verification, or payments, screening experience a plus Strong grasp of fraud detection systems, identity verification flows, and compliance frameworks (KYC, AML, SCA, GDPR, etc.) Experience working with data science , machine learning , or risk operations teams Analytical mindset comfortable working with dashboards, SQL, or data tools to drive insights Excellent stakeholder management and communication skills; can More ❯

the Fraud & ID strategy: Develop a long-term vision for detection, prevention, and verification systems that scale with business growth Own the product roadmap: Translate strategic objectives into clear, data-driven product plans and prioritise ruthlessly based on risk impact and value Drive cross-functional alignment: Collaborate closely with engineering, data science, operations, compliance, and risk teams … in-class fraud and identity solutions where relevant, ensuring ROI and strong performance Champion user trust: Ensure every product decision strengthens trust and reduces friction for legitimate users Leverage data & experimentation: Use analytics, fraud signals, and machine learning models to detect anomalies, test hypotheses, and continuously improve outcomes Monitor performance: Define KPIs for fraud loss rate, false positive reduction … safety, identity verification, or payments, screening experience a plus Strong grasp of fraud detection systems, identity verification flows, and compliance frameworks (KYC, AML, SCA, GDPR, etc.) Experience working with data science , machine learning , or risk operations teams Analytical mindset comfortable working with dashboards, SQL, or data tools to drive insights Excellent stakeholder management and communication skills; can More ❯

the Fraud & ID strategy: Develop a long-term vision for detection, prevention, and verification systems that scale with business growth Own the product roadmap: Translate strategic objectives into clear, data-driven product plans and prioritise ruthlessly based on risk impact and value Drive cross-functional alignment: Collaborate closely with engineering, data science, operations, compliance, and risk teams … in-class fraud and identity solutions where relevant, ensuring ROI and strong performance Champion user trust: Ensure every product decision strengthens trust and reduces friction for legitimate users Leverage data & experimentation: Use analytics, fraud signals, and machine learning models to detect anomalies, test hypotheses, and continuously improve outcomes Monitor performance: Define KPIs for fraud loss rate, false positive reduction … safety, identity verification, or payments, screening experience a plus Strong grasp of fraud detection systems, identity verification flows, and compliance frameworks (KYC, AML, SCA, GDPR, etc.) Experience working with data science , machine learning , or risk operations teams Analytical mindset comfortable working with dashboards, SQL, or data tools to drive insights Excellent stakeholder management and communication skills; can More ❯

the Fraud & ID strategy: Develop a long-term vision for detection, prevention, and verification systems that scale with business growth Own the product roadmap: Translate strategic objectives into clear, data-driven product plans and prioritise ruthlessly based on risk impact and value Drive cross-functional alignment: Collaborate closely with engineering, data science, operations, compliance, and risk teams … in-class fraud and identity solutions where relevant, ensuring ROI and strong performance Champion user trust: Ensure every product decision strengthens trust and reduces friction for legitimate users Leverage data & experimentation: Use analytics, fraud signals, and machine learning models to detect anomalies, test hypotheses, and continuously improve outcomes Monitor performance: Define KPIs for fraud loss rate, false positive reduction … safety, identity verification, or payments, screening experience a plus Strong grasp of fraud detection systems, identity verification flows, and compliance frameworks (KYC, AML, SCA, GDPR, etc.) Experience working with data science , machine learning , or risk operations teams Analytical mindset comfortable working with dashboards, SQL, or data tools to drive insights Excellent stakeholder management and communication skills; can More ❯

the Fraud & ID strategy: Develop a long-term vision for detection, prevention, and verification systems that scale with business growth Own the product roadmap: Translate strategic objectives into clear, data-driven product plans and prioritise ruthlessly based on risk impact and value Drive cross-functional alignment: Collaborate closely with engineering, data science, operations, compliance, and risk teams … in-class fraud and identity solutions where relevant, ensuring ROI and strong performance Champion user trust: Ensure every product decision strengthens trust and reduces friction for legitimate users Leverage data & experimentation: Use analytics, fraud signals, and machine learning models to detect anomalies, test hypotheses, and continuously improve outcomes Monitor performance: Define KPIs for fraud loss rate, false positive reduction … safety, identity verification, or payments, screening experience a plus Strong grasp of fraud detection systems, identity verification flows, and compliance frameworks (KYC, AML, SCA, GDPR, etc.) Experience working with data science , machine learning , or risk operations teams Analytical mindset comfortable working with dashboards, SQL, or data tools to drive insights Excellent stakeholder management and communication skills; can More ❯

Remote/work from home options Casual work attire Flexible schedule Looking for data-driven Customer Success jobs within a dynamic, startup environment? Eager to boost your career as a Client Success Executive in London? Are you a self-starter with core fundamentals in data and a desire to provide client support? This role could be for you … apply today! Company profile - Data Commerce/Marketplace In this Customer Success Executive role, you will join a leading data commerce platform that enables organisations to accelerate their data-driven transformations. The platform is used by Fortune 500 companies in a range of capacities, from data commerce for the private data marketplace to cross-function … collaboration and data distribution in any environment. Having developed key partnerships with a range of international businesses, and with several new projects in the pipeline, this company are excited to offer a fixed-term opportunity to join the Account Management team at this pivotal point in the company's growth. Job description - Customer Success Associate In this Client Success More ❯

You will be crucial in supporting our business by leading a team of data scientists, supporting them in applying the best analytical methods to improve the statistical forecast and overcome business challenges. You will work with various stakeholders to determine how to use business data for business solutions/insights. About the role In this role you will … and the following experience and knowledge:Proven leadership and people management skills, with at least 3 years of experience building and developing high-performing teams.5+ years of experience in data science, preferably with a focus on time series forecasting, FMCG, Food & Beverages, Retail or similar industries with a proven track record of delivering effective business solutions.Experience in application More ❯

Data Analyst Milton keynes - Hybrid (2 days on site)Salary - Up to £33,000 + Bonus & other benefits Want to become a Data Analyst and fast-track your career in consulting? We’re recruiting on behalf of a global consultancy that’s looking for ambitious graduate Data Analysts to join their growing team in Milton Keynes . … If you’re passionate about data, eager to learn, and ready to make an impact, this is your chance to become a Consultant within just 12 months.As a Graduate Data Analyst, you’ll work on real client projects from day one, using the latest tools in analytics, AI, and data transformation. You’ll be supported with structured … Milton Keynes, with 2 days a week in the office — Mondays and Fridays , giving you the flexibility to balance collaboration and focus.What you’ll be doing: Working as a Data Analyst to uncover insights and trends Designing data models and transformation processes Building dashboards and visualisations for business users Translating business needs into technical solutions Collaborating with consultants More ❯

Senior Data Engineer | 3-Month Contract (Possible Extension) | £550-£650p/day | Fully Remote | GCP, MongoDB, PostgreSQL | Start: Immediately About the Role On behalf of a leading healthcare technology company , we're looking for a Senior Data Engineer to join on an initial 3-month contract. This is an exciting opportunity to help shape scalable, data-driven … systems that support innovation in the healthcare sector. The focus is pure data engineering. You'll be building and optimising pipelines, coding solutions against live data, and ensuring performance at scale within a modern cloud-native environment. Key Responsibilities Design, build, and maintain data pipelines and architectures in Google Cloud Platform (GCP) . Develop MongoDB solutions from … scratch , managing live/streaming data. Write, optimize, and tune PostgreSQL queries for large-scale workloads. Work with microservices, event-driven systems, and distributed architectures to support complex data flows. Collaborate with product, data science, and engineering teams to ensure data availability, quality, and performance. Key Skills & Experience Proven expertise in GCP data engineering tools More ❯

include: Working directly with clients as a lead business analyst Leading technical architecture, solution design and implementation management Contributing to the development and growth of their digital enablement and data analysis capabilities Developing and managing client relationships Building and managing relationships with digital suppliers and associates Experience working with Dstl, Defence Digital, DE&S, Frontline Commands or UK Defence … and building trusted-advisor relationships, with new and existing clients, on both short term and long-term engagements. Experience eliciting requirements and defining business processes in complex environments. Advanced data analysis in Excel, including VBA Decision making techniques and processes Operating models and organisational design Experience of Microsoft365, SharePoint, PowerBI, Dataverse and PowerApps solutions. Understanding of data science, data analysis and visualisation tools and best practice. Knowledge of current software development using Python Effectively managing delivery teams to deliver high quality results. Interest and knowledge of technology and analysis approaches and best practice. Excellent communication skills, both written and verbal. A positive and flexible approach to your work. The ability to engage and enthuse personnel, and More ❯

include: Working directly with clients as a lead business analyst Leading technical architecture, solution design and implementation management Contributing to the development and growth of their digital enablement and data analysis capabilities Developing and managing client relationships Building and managing relationships with digital suppliers and associates Experience working with Dstl, Defence Digital, DE&S, Frontline Commands or UK Defence … and building trusted-advisor relationships, with new and existing clients, on both short term and long-term engagements. Experience eliciting requirements and defining business processes in complex environments. Advanced data analysis in Excel, including VBA Decision making techniques and processes Operating models and organisational design Experience of Microsoft365, SharePoint, PowerBI, Dataverse and PowerApps solutions. Understanding of data science, data analysis and visualisation tools and best practice. Knowledge of current software development using Python Effectively managing delivery teams to deliver high quality results. Interest and knowledge of technology and analysis approaches and best practice. Excellent communication skills, both written and verbal. A positive and flexible approach to your work. The ability to engage and enthuse personnel, and More ❯

Your Company: NET Recruit is assisting a distribution company in their search for an Apprentice Data Engineer based in the Kent area. Established over 40 years ago, this company has grown to become a leader in sourcing, producing, and distributing fresh produce to some of the UK’s top retailers. Known for its focus on quality, integrity, and innovation … acknowledges that its ongoing success depends on its people.As part of its ongoing investment in technology and digital innovation, the business is looking for an enthusiastic and motivated Apprentice Data Engineer to join its IT team, working five days per week. This position represents an exceptional opportunity for an individual with a passion for data, analytics, and technology … growth are actively encouraged. Your Role and Responsibilities While in this position your duties may include but are not limited to: Support the design, development, and maintenance of scalable data pipelines using tools such as Apache Airflow, dbt, or Azure Data Factory. Learn how to ingest, transform, and load data from a variety of sources, including APIs More ❯

into building the ML stack, partnered with leading universities, and trained models on millions of expert-tagged images. Now, they re scaling globally and need a world-class Lead Data Scientist to help push the boundaries of computer vision, video analysis, and multimodal LLMs while solving real-world challenges. Role Overview They are looking for an experienced Lead Data … evaluate, and productionise multi-modal LLMs for business applications. Drive experimentation and prototyping of advanced ML/AI techniques Provide technical direction, mentoring, and hands-on guidance to the data science team. Work with engineering, product, and business stakeholders to align ML strategy with business goals. Architect and productionise end-to-end ML pipelines on Azure, while ensuring … scalability, reproducibility, and monitoring of deployed models. Requirements 6+ years in data science/ML, with at least 2 years in a technical lead role. Deep experience in training and deploying computer vision models into production Proven track record with LLM fine-tuning, prompt engineering and productionisation Deep experience in MLOps on Azure, including CI/CD, monitoring More ❯