126 to 150 of 214 Data Scientist Jobs in the UK

Senior Data Scientist (Optimisation) Hybrid (2/3 office split) | London £80k–£90k + Share options + Additional benefits The business This is a fast-growing AI technology company of around 15 people, building cutting-edge predictive and optimisation solutions for real-world operational challenges. The data team you'll be joining is at the centre of … their platform which powers smarter workforce planning, scheduling and supply chain decisions for the clients they support. The role They're looking for a Senior Data Scientist with a passion for optimisation and operations research to help take the platform to the next level. There is a strong focus on mathematical modelling and utilising ML and AI technologies … models and optimisers (beyond standard ML approaches) Evolve the existing optimiser into a scalable, production-ready system Write production-quality Python code and collaborate closely with engineers and other data scientists What they're looking for Strong Python skills (critical) Hands-on experience with optimisation/operations research/mathematical modelling Background in supply chain or workforce planning (desirable More ❯

Senior Data Scientist - Remote We are working with a publishing company who have expanded into digital platforms and subscription-based businesses. They are focused on building personalised media experiences and improving user engagement across their platforms. They are now hiring their first Data Scientist to join a team of analysts and engineers. This is a greenfield … tagging. Work on user experience optimisation, such as improving content recommendations and personalisation strategies across web, CRM and app platforms. Partner with the analytics and engineering teams to define data science best practices, tooling, and workflow. Desired Skills and Experience Data Science, Segmentation, Subscriptions More ❯

Are you passionate about solving complex problems with data? Join a fast-growing tech and software innovation company in the heart of London. We’re looking for a Data Scientist eager to apply advanced modelling, analytics, and machine learning to build cutting-edge software solutions that empower businesses, streamline operations, and unlock growth. 🔍 Your Responsibilities: Data … with large, complex datasets to uncover insights and build scalable predictive models. Machine learning development: Design, train, and deploy models for applications. Software integration: Collaborate with engineers to integrate data-driven models into live products and platforms. Tool & framework development: Build algorithms, APIs, and analytical tools that enhance product capabilities and improve user experience. Data storytelling & reporting: Create … Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. Machine learning expertise: Hands-on experience in supervised and unsupervised learning, with exposure to NLP, computer vision, or deep learning a plus. Data visualisation: Proficiency in Tableau, Power BI, or similar. Problem-solving mindset: Ability to translate complex technical problems into business solutions. 🌟 It’s a Bonus If You Have: Experience in More ❯

Veritas is a fast-growing data company on a mission to transform how data is used to drive innovation across life sciences, healthcare, and beyond. We create intelligent data products and analytical tools that empower our clients with actionable insights. Founded by seasoned experts in analytics and technology, Veritas curates, indexes, and delivers high-integrity, research-ready … data which benefits our clients in: Healthcare & Life Sciences Research: enabling long-term survival analysis, endpoint validation, epidemiological studies; Insurance, Pensions & Financial Services: improving life expectancy models, detecting fraud, and supporting population risk profiling ; AI & Predictive Modelling: powering advanced models that incorporate accurate mortality endpoints. As a Data Scientist at Veritas, you’ll help develop and deliver … data products that power our client solutions. You’ll work across the full data science lifecycle — from engineering and modelling through to dashboarding, client engagement, and product design. This is a great fit for someone who enjoys blending data engineering, analytics, and science in equal measure. What You’ll Do Design and build models, algorithms, and dashboards More ❯

Contract Data Scientist - Multi-Touch Attribution Location: Hybrid (2-3 days per week, London office) Duration: 4 months Rate: £500 per day (Outside IR35) About the Role We're partnering with a leading marketing and communications group to find an experienced Data Scientist for a 16-week contract engagement. The successful candidate will take ownership of … multi-touch attribution (MTA) models, helping the client better understand and optimise their customer journeys. This role suits someone who's confident working independently, thrives on solving real-world data challenges, and focuses on delivering tangible business value over theoretical perfection. Key Responsibilities Design, build, and validate multi-touch attribution models to measure marketing effectiveness across multiple channels. Collaborate More ❯

growing sources of threat intelligence to enable expedited threat hunting and remediation. Members of Cloudforce One are at the helm of leveraging an incredibly vast and varied set of data points that only one of the world's largest global networks can provide. The team is able to analyze these unique data points, at massive scale and efficiency … synthesizing findings into actionable threat intelligence to better protect our customers.The team's core disciplines are data engineering, data science, devops, and security. We use data science and machine learning to process large volumes of data and build threat intelligence for Cloudflare's customers About the Role We're seeking a Data Scientist to … Your work will uncover patterns, identify anomalies, and build predictive insights to detect and neutralize sophisticated cyber threats. You'll directly enhance our Cloudforce One offering by transforming raw data into critical, real-time threat intelligence, providing unparalleled protection and actionable insights to our customers. If you are passionate about applying sophisticated data science to solve complex cybersecurity More ❯

Data Scientist - Year in Industry Programme 2026 Starting salary £23,500 + plus benefits and welcome bonus Office based in Aldermaston, nr Reading, Berkshire. We are offering a rewarding and exciting one-year placement as an Undergraduate Data Scientist at AWE - a role where you will make a genuine contribution to keeping the UK safe and … All of these mission areas involve the collection and analysis of large, complex datasets often spanning a number of scientific techniques. This project aims to investigate the use of data science techniques to contribute to the analysis and understanding of the data that is gathered in support of the NTR mission. Joining the team as an undergraduate student … you will gain experience and knowledge of working within a multidisciplinary team of scientists applying data science techniques across a range of datasets. Benefits: £23,500 salary Holiday entitlement of 270 hours of leave annually including bank holidays Excellent work/life balance and a vibrant and welcoming grad social scene 9-day working fortnight - so every other Friday More ❯

Our Principal Data Scientists are responsible for leading and delivering strategically significant, complex client engagements across our portfolio of clients. We believe that great delivery stems from a thorough understanding of our clients and their needs, strong discipline skills and subject matter expertise, excellent leadership and a clear vision of lasting and effective change in a public sector environment. … We expect our Principal Data Scientist to bring all of that and enthuse our delivery teams with the same passion. The successful candidate will lead the Data Science aspects of our client engagements while overseeing the wider delivery within the account (or industry) when appropriate. They will coach and develop team members on their engagements providing them … with detailed performance feedback, as well as monitoring overall delivery to achieve the highest levels of client satisfaction. In addition, our Principal Data Scientists are responsible for engaging with our clients to understand their challenges and build lasting, trusted advisor relationships. They will also oversee multiple, concurrent client deliveries to help ensure quality and drive the sharing of best More ❯

to complex client problems. With your expertise in advanced mathematics, statistics, and/or machine learning, you will help build and shape McKinsey's scientific AI offering. As a Data Scientist, you will play a pivotal role in the creation/dissemination of cutting-edge knowledge and proprietary assets. You will work in a multi-disciplinary team and … of expertise. You will ensure statistical validity and outputs of analytics, AI/ML models and translate results for senior stakeholders. You will write optimized code to advance our Data Science Toolbox and codify analytical methodologies for future deployment. You will be working in the London office in our Life Sciences practice. You will work with cutting edge AI … teams on research and development topics across our life sciences, global energy and materials (GEM), and advanced industries (AI) practices, serving as a data scientist in a technology development and delivery capacity. You will be on McKinsey's global scientific AI team helping to answer industry questions related to how AI can be used for therapeutics, chemicals & materials More ❯

Bayesian Data Scientist - Series C HealthTech About the Company: American Series C HealthTech start up in revenue stage, $200m funding (recent funding is Feb 2025). Fully remote within the UK. About the Job: We're seeking a skilled Data Scientist with strong expertise in Bayesian and probabilistic modelling, combined with knowledge of modern AI techniques … for performance. Apply techniques like Bayesian neural networks, variation inference, Markov Chain Monte Carlo, Gaussian processes, and diffusion models. Collaborate across teams to integrate models into production systems. Analyse data rigorously to validate models and provide actionable insights. Requirements Experience with Bayesian inference methods, including MCMC, variational inference, expectation-maximisation, and probabilistic graphical models. Proficient in Python and probabilistic … machine learning and deep learning frameworks, including transformers and diffusion models. Strong skills in feature engineering, model evaluation, calibration, and uncertainty quantification. Ability to translate complex problems into structured, data-driven solutions. We are an equal opportunities employer and welcome applications from all candidates. Robert Walters Operations Limited is an employment business and employment agency. Job Details Contract Type More ❯

Data Scientist - Year in Industry Programme 2026 Starting salary £23,500 + plus benefits and welcome bonus Office based in Aldermaston, nr Reading, Berkshire. We are offering a rewarding and exciting one-year placement as an Undergraduate Data Scientist at AWE - a role where you will make a genuine contribution to keeping the UK safe and More ❯

Commercial Data Scientist – Finance Business Partnering 📍 Hybrid (London-based) We’re on the lookout for a Commercial Data Scientist to join a global media business with a household name – the kind of brand you’ve definitely come across, whether in print, digital, or culture at large. This is a chance to combine your love of data … international organisation where no two days are the same. This isn’t a back-office number-crunching role. You’ll be at the heart of commercial decision-making, turning data into insights that shape strategy, drive growth, and uncover new opportunities across multiple markets. What you’ll be doing: Collecting, analysing, and interpreting data to guide business leaders. … that cut through the noise. Partnering with stakeholders across global offices to spot trends, opportunities, and risks. Using SQL, Python, and BI tools (Domo, Tableau, PowerBI) to turn raw data into actionable insights. Supporting forecasting, budgeting, and strategic planning. Helping shape a data-led culture across the business. What we’re looking for: Strong stakeholder management and communication More ❯

Commercial Data Scientist – Finance Business Partnering 📍 Hybrid (London-based) We’re on the lookout for a Commercial Data Scientist to join a global media business with a household name – the kind of brand you’ve definitely come across, whether in print, digital, or culture at large. This is a chance to combine your love of data … international organisation where no two days are the same. This isn’t a back-office number-crunching role. You’ll be at the heart of commercial decision-making, turning data into insights that shape strategy, drive growth, and uncover new opportunities across multiple markets. What you’ll be doing: Collecting, analysing, and interpreting data to guide business leaders. … that cut through the noise. Partnering with stakeholders across global offices to spot trends, opportunities, and risks. Using SQL, Python, and BI tools (Domo, Tableau, PowerBI) to turn raw data into actionable insights. Supporting forecasting, budgeting, and strategic planning. Helping shape a data-led culture across the business. What we’re looking for: Strong stakeholder management and communication More ❯

Commercial Data Scientist – Finance Business Partnering 📍 Hybrid (London-based) We’re on the lookout for a Commercial Data Scientist to join a global media business with a household name – the kind of brand you’ve definitely come across, whether in print, digital, or culture at large. This is a chance to combine your love of data … international organisation where no two days are the same. This isn’t a back-office number-crunching role. You’ll be at the heart of commercial decision-making, turning data into insights that shape strategy, drive growth, and uncover new opportunities across multiple markets. What you’ll be doing: Collecting, analysing, and interpreting data to guide business leaders. … that cut through the noise. Partnering with stakeholders across global offices to spot trends, opportunities, and risks. Using SQL, Python, and BI tools (Domo, Tableau, PowerBI) to turn raw data into actionable insights. Supporting forecasting, budgeting, and strategic planning. Helping shape a data-led culture across the business. What we’re looking for: Strong stakeholder management and communication More ❯

Commercial Data Scientist – Finance Business Partnering 📍 Hybrid (London-based) We’re on the lookout for a Commercial Data Scientist to join a global media business with a household name – the kind of brand you’ve definitely come across, whether in print, digital, or culture at large. This is a chance to combine your love of data … international organisation where no two days are the same. This isn’t a back-office number-crunching role. You’ll be at the heart of commercial decision-making, turning data into insights that shape strategy, drive growth, and uncover new opportunities across multiple markets. What you’ll be doing: Collecting, analysing, and interpreting data to guide business leaders. … that cut through the noise. Partnering with stakeholders across global offices to spot trends, opportunities, and risks. Using SQL, Python, and BI tools (Domo, Tableau, PowerBI) to turn raw data into actionable insights. Supporting forecasting, budgeting, and strategic planning. Helping shape a data-led culture across the business. What we’re looking for: Strong stakeholder management and communication More ❯

Commercial Data Scientist – Finance Business Partnering 📍 Hybrid (London-based) We’re on the lookout for a Commercial Data Scientist to join a global media business with a household name – the kind of brand you’ve definitely come across, whether in print, digital, or culture at large. This is a chance to combine your love of data … international organisation where no two days are the same. This isn’t a back-office number-crunching role. You’ll be at the heart of commercial decision-making, turning data into insights that shape strategy, drive growth, and uncover new opportunities across multiple markets. What you’ll be doing: Collecting, analysing, and interpreting data to guide business leaders. … that cut through the noise. Partnering with stakeholders across global offices to spot trends, opportunities, and risks. Using SQL, Python, and BI tools (Domo, Tableau, PowerBI) to turn raw data into actionable insights. Supporting forecasting, budgeting, and strategic planning. Helping shape a data-led culture across the business. What we’re looking for: Strong stakeholder management and communication 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 Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities Develop, train, and deploy computer vision models (object … 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 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 Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities · Develop, train, and deploy computer vision models (object … 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 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 Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities · Develop, train, and deploy computer vision models (object … 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 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 Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities · Develop, train, and deploy computer vision models (object … 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 More ❯

Overview The Principal, AI Data Scientist will be responsible for supporting the implementation of innovative, complex and transformative AI/ML/GenAI solutions across the areas of Clinical Trial Execution and Digital Healthcare across Jazz Research and Development. Responsibilities Support the development and implementation of AI/ML/GenAI solutions to optimize clinical trial operations, including … such areas as patient recruitment, patient retention, real-time data monitoring and automated data collection system build. Support the development and implementation GenAI applications for automated clinical trial documentation generation including such areas medical reports, clinical study reports, protocols and patient narratives. Support the development and implementation of Digital Healthcare applications for medical and scientific tools, RWE new … ways of generating real data, patients' engagement. Support the design and develop predictive models and generative AI solutions using diverse healthcare data sources, including clinical trials data, electronic health records, wearable devices, patient-reported outcomes, HEOR data, phase IV studies. Collaborate with cross-functional teams including clinical operations, clinical development, data science and global medical More ❯

The Principal, AI Data Scientist will be responsible for supporting the implementation of innovative, complex and transformative AI/ML/GenAI solutions across the areas of Clinical Trial Execution and Digital Healthcare across Jazz Research and Development. Essential Functions Support the development and implementation of AI/ML/GenAI solutions to optimize clinical trial operations, including … such areas as patient recruitment, patient retention, real-time data monitoring and automated data collection system build. Support the development and implementation GenAI applications for automated clinical trial documentation generation including such areas medical reports, clinical study reports, protocols and patient narratives. Support the development and implementation of Digital Healthcare applications for medical and scientific tools, RWE new … ways of generating real data, patients' engagement. Support the esign and develop predictive models and generative AI solutions using diverse healthcare data sources, including clinical trials data, electronic health records, wearable devices, patient-reported outcomes, HEOR data, phase IV studies. Collaborate with cross-functional teams including clinical operations, clinical development, data science and global medical More ❯

Wood Mackenzie is the global data and analytics business for the renewables, energy, and natural resources industries. Enhanced by technology. Enriched by human intelligence. In an ever-changing world, companies and governments need reliable and actionable insight to lead the transition to a sustainable future. That's why we cover the entire supply chain with unparalleled breadth and depth … we put customers at the heart of our decisions Future Focused - we accelerate change Curious - we turn knowledge into action Job Description We're working on a next generation data analysis & visualisation platform that enables our customers to drive billion-dollar decisions and accelerate the world's transition to a more sustainable tomorrow. We're looking for a Data Scientist II to join our team.This role will be working within our AI group and focus on the research, development and delivery of AI solutions across our product suite. You'll collaborate closely with a cross-functional team of data scientists, engineers, and product managers to help deliver our product roadmap. You'll apply advanced AI techniques More ❯

Data Scientist, Machine Learning Engineer, ML Engineer, Data Science Engineer, High-Performance Engineering, Python, Data, Pandas, numpy, scikit-learn, pytorch - Oxford - up to 55K About the Role: Join an elite engineering organisation's Software Engineering & Data team, where you'll develop cutting-edge machine learning solutions that directly impact performance at the highest level of … machine learning solutions for complex technical problems Communicate with engineering teams to analyse challenges and develop solutions Work autonomously to deliver results within tight schedules Maintain and improve existing data science pipelines Share knowledge and collaborate across the team Essential Requirements: BSc or MSc degree in a relevant field for Data Science 2+ years development experience in Python … and machine learning techniques (production or laboratory) Strong knowledge of Python data science packages: Pandas, numpy, scikit-learn, pytorch Experience with Machine Learning techniques: Neural Networks, XGBoost Understanding of pipelines and deployment technologies: Azure DevOps, Docker, GitHub Actions Good understanding of architecture and design patterns Excellent verbal and written communication skills Strong troubleshooting and problem-solving abilities Committed to More ❯

Reports to: Data Director/Executive Sponsor Location: Remote with occasional travel to London (2 times a month) Contract: Full-time, permanent Base Salary: £60,000 £75,000 dependent on location and experience + 10% bonus scheme Why This Role Exists Serve Legal is forging new ground: transforming operational data into market-ready products, algorithms, and insights that … redefine client value. As a driver of our Innovation Labs, you will experiment, prototype, and build compelling data solutions in a startup-within-a-business environmentboldly iterating and owning proofs-of-concept that scale. This is a position with a balance between data science and engineering. Besides exploring and analysing datasets, you will help to establish a cloud … native data foundations, with a data warehouse and supporting data pipelines. You will be expected to use AI tools where possible to help explore, analyse and transform data. What Youll Do Build Data Products & Algorithms: Prototype and refine predictive models (e.g., compliance forecasting, anomaly detection, NLP-based feedback analysis). Embed solutions into client dashboards and More ❯