376 to 400 of 1,123 Data Science Jobs in the UK excluding London

skilled software developer to help the engineering team refactor the ‘research-level’ code into production-ready code. You will be responsible for expanding and optimizing our cloud infrastructure and data pipeline architecture, as well as optimising data flow and collection throughout our custom-built Clinical Management Interface (CMI). You will work closely with the Data Science … support seamless integration with their pipelines and clearly document all your work. Essential requirements: - Minimum 3 years professional software development experience - Expert proficiency in Python in software development and data science/processing - Strong working knowledge of R - Proven experience in refactoring "research-level" code into production-ready software - Proven experience of collaborating effectively in cross-functional team 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 ❯

Role: Data Scientist Associate Manager Location: London 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 ❯

Global Head of Data Engineering | Base Salary & uncapped Bonus | London | Permanent Industry: Trading/Commodities Location: London – Hybrid (4 days in office) Job Type: Permanent Our client is seeking a Global Head of Data Engineering to oversee the development and optimisation of their enterprise data platform in a front office trading environment. You’ll lead a distributed … team of data engineers, ensuring the seamless ingestion, management, and delivery of high-quality market, economic, and commercial data to power trading, research, and operational decision-making. What You’ll Do: Lead and manage a global team of data engineers, providing mentorship and direction. Oversee the design, build, and ongoing enhancement of an enterprise data platform … on AWS. Develop and scale robust ETL/ELT pipelines for the ingestion of financial market, commodity, and commercial datasets. Deliver new data products and services for traders, analysts, and operational teams. Implement and maintain data quality frameworks and best practices. Collaborate with front office users, including traders and research analysts, to understand data requirements. Partner with More ❯

Global Head of Data Engineering | Base Salary & uncapped Bonus | London | Permanent Industry: Trading/Commodities Location: London – Hybrid (4 days in office) Job Type: Permanent Our client is seeking a Global Head of Data Engineering to oversee the development and optimisation of their enterprise data platform in a front office trading environment. You’ll lead a distributed … team of data engineers, ensuring the seamless ingestion, management, and delivery of high-quality market, economic, and commercial data to power trading, research, and operational decision-making. What You’ll Do: Lead and manage a global team of data engineers, providing mentorship and direction. Oversee the design, build, and ongoing enhancement of an enterprise data platform … on AWS. Develop and scale robust ETL/ELT pipelines for the ingestion of financial market, commodity, and commercial datasets. Deliver new data products and services for traders, analysts, and operational teams. Implement and maintain data quality frameworks and best practices. Collaborate with front office users, including traders and research analysts, to understand data requirements. Partner with More ❯

Global Head of Data Engineering | Base Salary & uncapped Bonus | London | Permanent Industry: Trading/Commodities Location: London – Hybrid (4 days in office) Job Type: Permanent Our client is seeking a Global Head of Data Engineering to oversee the development and optimisation of their enterprise data platform in a front office trading environment. You’ll lead a distributed … team of data engineers, ensuring the seamless ingestion, management, and delivery of high-quality market, economic, and commercial data to power trading, research, and operational decision-making. What You’ll Do: Lead and manage a global team of data engineers, providing mentorship and direction. Oversee the design, build, and ongoing enhancement of an enterprise data platform … on AWS. Develop and scale robust ETL/ELT pipelines for the ingestion of financial market, commodity, and commercial datasets. Deliver new data products and services for traders, analysts, and operational teams. Implement and maintain data quality frameworks and best practices. Collaborate with front office users, including traders and research analysts, to understand data requirements. Partner with More ❯

Today, Lonza is a global leader in life sciences operating across five continents. While we work in science, theres 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, genuinely … 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 ❯

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 ❯

a pivotal stage. What you’ll be doing: Design, build, and deploy Large Vision Models (LVMs) to enhance customer experiences, improve workforce efficiency, and boost product performance. Collaborate with data engineers to gather, preprocess, and curate large visual datasets, ensuring robust and high-quality data pipelines. Optimise model architectures and tune hyper parameters to maximise throughput while maintaining … to date with the latest machine learning and computer vision advancements, applying new techniques to strengthen solutions and drive innovation. Main Skills/Requirements: Master’s degree in Computer Science, Data Science, or a related field — or equivalent practical experience, with a strong focus on machine learning Over 5 years of experience deploying computer vision models in … techniques, including image classification, object detection, and segmentation Experience with Large Vision Models (LVMs) is highly desirable Proficient in SQL and skilled in working with large-scale datasets for data processing and manipulation How you’ll be rewarded: Share Options Competitive Benefits Opportunity to join a leading start-up This is an excellent opportunity for an experienced Lead Computer More ❯

a pivotal stage. What you’ll be doing: Design, build, and deploy Large Vision Models (LVMs) to enhance customer experiences, improve workforce efficiency, and boost product performance. Collaborate with data engineers to gather, preprocess, and curate large visual datasets, ensuring robust and high-quality data pipelines. Optimise model architectures and tune hyper parameters to maximise throughput while maintaining … to date with the latest machine learning and computer vision advancements, applying new techniques to strengthen solutions and drive innovation. Main Skills/Requirements: Master’s degree in Computer Science, Data Science, or a related field — or equivalent practical experience, with a strong focus on machine learning Over 5 years of experience deploying computer vision models in … techniques, including image classification, object detection, and segmentation Experience with Large Vision Models (LVMs) is highly desirable Proficient in SQL and skilled in working with large-scale datasets for data processing and manipulation How you’ll be rewarded: Share Options Competitive Benefits Opportunity to join a leading start-up This is an excellent opportunity for an experienced Lead Computer More ❯

a pivotal stage. What you’ll be doing: Design, build, and deploy Large Vision Models (LVMs) to enhance customer experiences, improve workforce efficiency, and boost product performance. Collaborate with data engineers to gather, preprocess, and curate large visual datasets, ensuring robust and high-quality data pipelines. Optimise model architectures and tune hyper parameters to maximise throughput while maintaining … to date with the latest machine learning and computer vision advancements, applying new techniques to strengthen solutions and drive innovation. Main Skills/Requirements: Master’s degree in Computer Science, Data Science, or a related field — or equivalent practical experience, with a strong focus on machine learning Over 5 years of experience deploying computer vision models in … techniques, including image classification, object detection, and segmentation Experience with Large Vision Models (LVMs) is highly desirable Proficient in SQL and skilled in working with large-scale datasets for data processing and manipulation How you’ll be rewarded: Share Options Competitive Benefits Opportunity to join a leading start-up This is an excellent opportunity for an experienced Lead Computer 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 ❯

you want to help shape the future of betting and gaming, then it's to time to join us. Job Purpose We are on the lookout for a Junior Data Engineer to become an integral part of our Data Engineering Team. You will not only maintain and optimise our data infrastructure but also spearhead its evolution. Built … predominantly on AWS, and utilising technologies like Pyspark and Iceberg, our infrastructure is designed for scalability, robustness, and efficiency. You will be part of developing sophisticated data integrations with various platforms, developing real-time data solutions, improving automation, and enabling crucial business intelligence. Job Duties Build and Maintain Data Pipelines: Learn how to design, develop, and maintain … data pipelines and ETL processes using key AWS services like AWS Glue, AWS Lambda, and AWS S3. Support Cloud Migration: Play a supporting role in migrating our existing SQL Server data warehouse to an AWS environment, specifically S3 and Redshift. Ensure Data Quality: Implement and run data quality checks and validation procedures to ensure our data More ❯

About Data at Holland & Barrett At Holland & Barrett (H&B), we want to empower everyone to live healthier, happier lives. With over 150 years of experience, we're the largest health & wellness retailer in Europe and a globally trusted brand. Our ambition is to become the world's most trusted wellness partner, chosen by over 100 million people worldwide. … into five verticals: four embedded analytics areas aligned to key business functions, and a central Business Intelligence team focused on cross-functional reporting and performance enablement. Together with our Data Engineering and Data Science colleagues, we make data a strategic lever to achieve H&B's goals. As a Senior Category Analyst in the Core Business … to stakeholders Build dashboards in Metabase to monitor supplier-level performance, agreement effectiveness, and compliance. Create analytics which demonstrate commercial optimisation opportunities & targets. Write clean, efficient SQL to analyse data across trading, rebate, promotional, and category-level metrics. Deliver insights that support negotiations, supplier scorecards, and performance reviews. Own analysis of agreement value, rebate accuracy, and deal profitability. Contribute 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 ❯

Senior Data Consultant When registering to this job board you will be redirected to the online application form. Please ensure that this is completed in full in order that your application can be reviewed. Come and join the Littlefish Digital Solutions team! Work location: Remote but connected (as defined by our Hybrid working policy)? Role: Senior Data Consultant … strategic integration and adoption. So, if you would like to join this exciting phase of our growth journey as we expand our UK solutions offers working alongside our experienced Data Compliance & Governance team, and you are excited at the thought of working with creative, passionate, energetic, friendly people- we would love to hear from you. The role and what … youll be getting up to on a day to day basis: We are seeking a Senior Data Consultant who is passionate about data analytics and helping customers achieve more with their data. As part of our Data and AI consultancy we aim to help our customers of all sizes to gain greater insights through understanding, modelling and More ❯

AWS Data Engineer - Contract Duration: 6 months Location: Mostly remote (occasional office visits) Rate: £500-£550 per day (Outside IR35) I'm partnering with a global consultancy that is looking for a Data Engineer to enhance its evolving data infrastructure and drive operational excellence. This is a hands-on role where you'll play a key part … in business-critical operations, tackling complex data challenges, supporting cross-functional initiatives, and improving core data systems. As a central member of the data team, you'll be responsible for building and maintaining scalable data pipelines, resolving data quality issues, and collaborating closely with analysts, engineers, and stakeholders. If you thrive in a fast-paced … environment and enjoy optimising data systems, this could be a great match. Key Responsibilities: Design, develop, and maintain scalable data pipelines for both operational and analytical needs Ensure high data integrity through best practices in validation and quality assurance Investigate and resolve data issues, identifying root causes and implementing sustainable solutions Lead and support data 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 ❯

months+ Start date: ASAP Location: 4 days per week on-site in Manchester Languages: English Skills and Responsibilities: Strong understanding of Cloud Computing concepts and platforms. Extensive experience in data modelling, including Dimensional Data Models, Entity-Relationship (ER) Models, and Data Vault architecture. Proficient in writing complex SQL queries for data extraction, transformation, and analysis. In … depth knowledge of Snowflake architecture, including its roles, dynamic tables, streams, tasks, and security policies. Proven experience working on data-centric projects and applications across diverse domains. Hands-on experience with GitLab for version control and CI/CD processes. Proficient in Python for data processing, automation, and analytics. Good understanding of Data Science and Machine … Learning concepts and workflows. Sound knowledge of Data Management and Data Governance practices. Demonstrated experience in effectively managing product owners and stakeholders. Excellent team player with a positive attitude, proactive mindset, and strong collaboration skills. Self-driven, adaptable, and eager to learn new technologies and concepts. If this interests you, please send me an up-to-date CV 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 ❯

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 ❯

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 ❯