Top Data Science Jobs in London

Lead a marketing science team to design and deploy advanced econometric and predictive models (MMM, Bayesian, ML) for media measurement, build scalable analytics frameworks, manage stakeholders, and drive methodological innovation and team development to optimize campaign performance.

Lead and grow the telematics data science team, define technical roadmap, and develop novel ML and signal-processing models (on-device and cloud) to predict driving behaviour, crashes, and risk. Integrate telematics with pricing and products, measure real-world model impact, ensure fairness in pricing, and represent telematics science to senior leadership and partners.

Lead and grow a Predictive Growth Optimisation team to own Flo's pLTV system, build Marketing Mix Modeling, and develop real-time algorithms and production ML systems that optimize user acquisition and marketing spend while partnering with Growth, Product, and Finance.

Lead a team building Owkin's agentic AI Scientist for drug discovery by applying multimodal omics and ML to discover targets, biomarkers, and disease subtypes; collaborate with biologists, engineers, and partners; shape platform capabilities, publish results, and grow a high-performing research team.

Lead and grow a data science team to design, develop, evaluate, and deploy production-grade AI/ML solutions (LLMs, Generative AI, RAG, transformers). Own technical vision, MLOps/LLMOps, model governance, and cross-functional execution with Product and Engineering to deliver scalable business impact in financial markets.

Productionize and support analytics and AI solutions by building reliable Python-based data workflows, deploying containerized/cloud services, modernizing legacy analytics, and collaborating with data science, engineering, and business teams. Provide EMEA support, create documentation and runbooks, and maintain Power BI dashboards and recurring analytical workflows.

Define and lead AI and data science strategy across ML, NLP, search, recommendation, experimentation, and generative AI. Lead and develop teams to deliver production-ready AI systems (LLMs, RAG, semantic search, embeddings), establish evaluation and responsible AI frameworks, and influence cross-functional stakeholders to align roadmaps and drive measurable product and business outcomes.

Lead portfolios of marketing-mix-modeling (MMM) and marketing effectiveness programs, manage teams, ensure delivery quality, translate analytics into C-suite recommendations, drive account growth, and develop talent and practice thought leadership.

Lead a small team of pricing data scientists to own loss-ratio views, translate analytics into commercial pricing actions, drive cross-functional investigations with claims/finance/product, and communicate performance and risk trends to senior stakeholders to inform pricing strategy.

Serve as the Data Science Director's right hand to prioritise work, remove blockers, run model monitoring and change control, coordinate deployments, manage cross-team dependencies, run hiring and onboarding, and prepare decision-ready materials for senior stakeholders to ensure disciplined, fast delivery of credit and decisioning models.

Develop and refine NLP projects by improving LLM models, implementing production models, and conducting performance experiments.

As a Data Scientist at QRT, you will work with data to inform trading decisions, prototype data handling code, and solve data related problems.

Lead and develop teams of data scientists, driving impactful projects through experimentation, causal inference, and applied machine learning while collaborating with various stakeholders.

The Product Data Science Manager leads a team to deliver custom data insights, ensuring analytical excellence and client impact while collaborating with various stakeholders.

Lead strategy and execution of analytics and AI/ML products to measure and maximize player lifetime value. Drive cross-team alignment, prioritize roadmaps, define experimentation and modelling standards, and ensure scalable, production-grade ML capabilities are adopted and deliver measurable business impact.

Lead a pod of data scientists (25%) while spending most time (75%) developing, validating, and deploying ML algorithms from sensor and imaging data for clinical decision support. Drive technical standards, production-quality code, cross-functional validation with engineers and clinicians, and contribute to Data Science leadership and regulatory readiness.

Manage and coach multiple sport-specific data science leads, ensure alignment and delivery of forecasting models, plan resourcing and staffing, maintain technical standards and cross-team collaboration, escalate and resolve technical or resourcing issues, and contribute to department strategy, tooling, and hiring.

Analyze and process very large business datasets using data mining and analytical techniques to uncover patterns and insights. Support business decision-making by identifying problems and discovering growth or efficiency opportunities.

Manage high-impact marketing effectiveness programmes, oversee project governance, mentor teams, and drive strategic client insights, focusing on business growth.

Support and lead data-driven communications projects across EMEA and APAC, using NLP, statistical and ML methods to extract insights from multiple data sources, build pipelines, create visualisations and client-ready reports, and deploy AI-enabled solutions to inform reputation and communications strategy.

Lead and deliver advanced data and AI-driven communications solutions: design and implement analytics/ML approaches, integrate multiple data sources, build pipelines and visual reporting, manage and mentor data scientists, translate technical results for senior clients, support business development and innovate tools to advance corporate communications insights.

Support analytics projects for communications and reputation challenges using statistics, machine learning and AI. Collect and analyze structured and unstructured data, build dashboards, pipelines and tools, deliver insights to clients, assist pitches, and drive GenAI/NLP adoption and data-driven decision making across the firm.

Lead a four-team data science cluster focused on logistics optimisation, applied ML, forecasting and modelling. Drive strategy and delivery to move research into production at scale, collaborate with engineering, data engineering and analytics, line-manage Data Team Leaders, and represent the data function within senior leadership.

The Managing Consultant will lead data science initiatives, drive business growth in financial services, and build client relationships while managing teams and delivering high-impact solutions.

Lead the data science function at Fresha, building credibility and infrastructure, shipping impactful ML products, and scaling the team to align with business needs.