Top Data Science Jobs in London

Develop statistical and machine learning sports models, engineer data assets, implement pricing engines in Python, and integrate solutions into Sportsbook applications. Build automated tests, validate data flows, support model deployment and lifecycle management, collaborate with Trading, Product, Engineering, and QA, and mentor junior data scientists.

Manage and mentor Data Scientists while overseeing the full lifecycle of machine learning models used for real-time payment decisions. Shape the Payment Intelligence roadmap, guide production-grade model development on GCP and Vertex AI, collaborate with engineering, product, and design teams, and communicate ML strategy and business value to senior leadership. The role focuses on fraud prevention, payment optimization, and scalable fintech innovation.

Leads end-to-end development of Trainline’s consumer brand propositions, especially for new products and markets. Uses customer insight, research, behavioral science, data, and competitor analysis to shape hypotheses and define compelling solutions. Partners with Product, UX, Engineering, Brand, Creative, Growth, and regional teams to launch propositions, establish execution guidelines, define success metrics, and report business and marketing impact to senior stakeholders.

Develops Gartner research and thought leadership on the economic impact of AI and technology disruption. Synthesizes economic analysis, quantitative evidence, financial statements, market intelligence, and business context into executive-level insights. Advises clients, presents at conferences and media engagements, supports business development, reviews research, and collaborates with modeling, data science, and data engineering teams. The role also contributes to research strategy, mentors colleagues, and builds authority in technology market economics.

Leads and grows a data science team while remaining hands-on with coding, machine learning, data collection, clustering, attribution, heuristics, and model governance. Defines research direction, hires and develops scientists, builds scalable datasets, ensures model validation and monitoring, and partners across Intelligence, Product, and Engineering. Requires strong Python and SQL skills, modern cloud data-stack experience, AI fluency, technical leadership, and the ability to work with large behavioral or transactional datasets.

Develop, validate, and deploy computer vision and machine learning algorithms for clinical decision support using imaging and sensor data. Own projects from messy data and modeling through rigorous evaluation and production integration. Collaborate with hardware, software, medical, and clinical research teams, apply classical and deep learning methods, support regulatory readiness, deliver production-quality Python code, and mentor colleagues.

Lead DTCC’s data science and AI strategy, research emerging technologies, and develop enterprise-scale prototypes involving machine learning, generative AI, LLMs, and agent-based systems. Manage and mentor data scientists, oversee project delivery and MLOps, establish data governance and modeling standards, collaborate with product and engineering leaders, and measure business impact through KPIs.

Leads automation strategy for global VAT compliance and reporting. Identifies process inefficiencies, translates VAT requirements into technical solutions, manages automation projects through implementation, and supports ongoing process improvements. Works with clients, VAT teams, delivery groups, and technology teams while applying analytics, data science, AI, workflow automation, and emerging technologies. Also coaches team members, manages delivery risks, ensures data integrity and controls, and prioritizes initiatives independently.

Provides technical consulting across architecture, engineering, software, telecommunications, cybersecurity, and data disciplines. Translates operational requirements into secure, scalable, interoperable solutions; develops technical designs and documentation; supports integration, testing, transition, and operations; assesses risks and technical trade-offs; and contributes to governance, assurance, and lifecycle activities in complex, secure public-sector environments.

Lead data science initiatives from conception through deployment, developing statistical models and machine learning algorithms for trading intelligence. Analyze large datasets, integrate solutions into production systems, support automated trading strategies, communicate insights to stakeholders, and mentor junior data scientists. Collaborate cross-functionally to improve trading processes, product offerings, and business operations.

Summer internship on the Global Data Science team to develop and optimize time-series forecasting models (ARIMA/SARIMA, XGBoost, LSTM). Support end-to-end data ingestion, back-test datasets, collaborate with traders and analysts, and conduct ad hoc research on energy fundamentals and analytics trends.

Leads advanced data science projects and specialized modeling for media effectiveness and marketing analytics. Translates complex analytical requirements into deployable solutions, contributes hands-on to machine learning and statistical modeling, develops analytical tools and dashboards, and applies AI and generative AI. Manages projects from conception through delivery, communicates technical concepts to stakeholders, and provides technical leadership across analytics, media, and data teams.

Analyze short-term wholesale power markets, support price forecasting and trading strategies, monitor EDF portfolio optimization, and communicate time-critical risk information. Develop and maintain optimization models, data science applications, automated workflows, visualizations, and web tools. Improve application robustness through testing and refactoring, participate in peer reviews, train junior analysts, and collaborate with traders, asset managers, and international analytical teams while ensuring REMIT compliance.

Leads data science strategy and advanced analytics across drug development programs. Develops statistical, AI, and machine learning models using multimodal clinical and omics data; guides biomarker discovery, precision medicine, trial analysis, and evidence generation. Establishes reproducible pipelines and data quality standards using Python, R, SQL, and cloud platforms. Manages and mentors data scientists while influencing clinical, statistical, and senior leadership decisions.

Lead the strategy and growth of the Data Practice at Capco, managing multidisciplinary teams and delivering high-impact analytics projects in Financial Services.

Industrial placement roles in biostatistics, clinical programming, and quantitative sciences innovation. Responsibilities include clinical trial design, statistical analysis, dataset and reporting development, quality control, machine learning, prediction modeling, and cross-functional collaboration supporting drug and vaccine development. Placements involve R, SAS, Python, GitHub, statistical methods, regulatory standards, and agile project delivery.

Lead the development of AI-enabled products within a consulting environment focused on financial services and energy, utilizing modern AI tools and methodologies.

Lead and mentor data science teams to design, develop, and deploy ML and AI solutions (including GenAI/LLMs). Align technical outcomes with business goals, drive MLOps and model governance, and deliver scalable production systems.

Serve as a customer-facing technical advisor for Snowflake, partnering with sales teams and channel partners throughout the sales cycle. Present solutions to technical and executive audiences, conduct demos and proofs of concept, design architectures, develop technical champions, and solve data-related business problems. Collaborate with Product, Engineering, Marketing, and implementation partners while staying current on Snowflake, cloud, data, and AI technologies.

Own and execute the roadmap for a core document verification product area, improve verification accuracy and conversion, partner with Engineering, AI/ML, Design, Growth and Ops, use analytics and experimentation to validate hypotheses, and prioritise investments while ensuring regulatory and compliance alignment.

Surgo Health seeks a Senior Product Manager for AI and Data Products to define product strategy, lead product initiatives, and collaborate with cross-functional teams. The role emphasizes building AI-driven solutions in healthcare and requires strong product management skills with a technical background.

Lead product strategy and roadmap for Equity and Multi‑Asset indices and an in‑house AI tool. Gather user feedback, prioritise features, work with research developers to ship, run market analysis, engage clients, and partner with Sales and Marketing to drive positioning and revenue.

Lead the design, development, and operation of analytical and ML systems for financial services, ensuring model accuracy and compliance.

Six-month Data Science and Marketing Effectiveness internship analyzing large datasets, building marketing mix models, forecasting tools, customer segmentation, and econometric or machine learning models. The intern will use Python and related analytics tools, translate findings into client recommendations, participate in consulting projects, and complete an individual R&D project. The role is hybrid in London and requires full UK work authorization without sponsorship.

Leads the Payments data strategy and partners with Product, Engineering, and Design to shape payment products, commercial optimization, customer growth, metrics, architecture, and operating models. Builds and scales a high-performing, full-stack data organization spanning data science, analytics engineering, machine learning engineering, and analytics. Serves as a trusted Payments Leadership partner, translating technical, product, and commercial perspectives into high-impact decisions.