Top Data Science Jobs in London

Own enterprise customer programs from contract signature through expansion, leading delivery teams, milestones, stakeholder communication, adoption, and change management. Partner with sales and customer success to scope engagements, identify expansion opportunities, and translate executive goals into executable AI implementation plans. Serve as the customer advocate internally while guiding solutioning across model development, deployment, governance, and enterprise data science workflows.

Off-cycle quantitative research intern supporting systematic trading, financial engineering, statistical modeling, portfolio optimization, and derivatives pricing. Responsibilities include developing mathematical models and algorithms, valuing and hedging transactions, conducting alpha research, calibrating models, optimizing pricing, managing portfolio risk, and collaborating with traders, technologists, sales, and risk teams. Candidates gain hands-on global markets experience and may be considered for full-time employment after successful completion.

Nine-week Global Markets summer internship supporting research, market monitoring, trade idea development, portfolio reviews, and financial solution analysis. Interns join Trading, Structuring and Origination, Systematic Trading, or Digital Markets tracks, gaining hands-on experience, technical training, networking, and exposure to risk management, derivatives, systematic strategies, automation, and digital market solutions.

Lead and scale a global HR Analytics Advisor team that partners with executives and HR leaders to turn workforce data into actionable decisions. Responsibilities include proactive and ad hoc analytics, executive storytelling, workforce risk and talent insights, HR process integration, self-service reporting, predictive modeling, data governance, and defining advisory operating models and success metrics.

Conduct quantitative research for systematic trading and financial markets. Develop mathematical models, algorithms, and infrastructure to price, hedge, and trade financial products. Perform alpha research, model calibration, portfolio optimization, and risk management while collaborating with traders, technologists, sales, marketing, and risk teams. Translate research into trading applications and communicate findings clearly. The program includes hands-on training and may lead to full-time employment.

Leads Cafeyn’s customer data and data science strategy, overseeing analytics, machine learning, AI-powered product innovation, experimentation, data monetization, governance, and scalable data foundations. Manages multidisciplinary data teams, partners with executive, product, marketing, business, and engineering stakeholders, and drives initiatives such as churn prediction, personalization, semantic search, KPI frameworks, and A/B testing to improve engagement, retention, revenue, and decision-making.

Leads Novartis’s enterprise workforce and people strategy for Data Science and Artificial Intelligence. Develops workforce plans, organization design, talent and career frameworks, governance, succession, capability programs, and external talent pipelines. Partners with senior leaders across global business units, influences without formal authority, and guides responsible human-AI collaboration, transformation, culture, and adoption. Uses analytics and external insights to address critical DSAI capability needs and establish enterprise-wide standards.

Own the long-term strategy for Spotify’s Content Platform, leading complex initiatives across content governance, platform safety, metadata, and machine learning systems. Partner with engineering, ML, data science, design, and business leaders to shape roadmaps, model strategies, evaluation frameworks, and platform capabilities. Drive strategic prioritization, regulatory compliance, operational excellence, and executive communication while delivering company-wide customer and business impact.

Lead complex data science and machine learning projects from technical scoping through production delivery. Set technical direction, architect reliable solutions, define roadmaps, manage technical risk, and oversee multidisciplinary workstreams. Lead client engagements, support commercial opportunities, establish technical best practices, and mentor data scientists and managers. The role also requires influencing engineering, infrastructure, commercial, and business-unit initiatives while delivering practical outcomes under commercial pressure.

Principal Engineer responsible for building and operating production software at scale across multiple codebases. The role involves shipping end-user products, improving event and data pipelines, diagnosing performance bottlenecks, influencing technical direction, establishing agentic engineering practices, and collaborating with data scientists. This hands-on individual contributor role requires broad experience across Python, Node.js, React, Rust, data science, cloud infrastructure, security, privacy, and regulated financial software.

Lead Data and AI pre-sales activities, translating client needs into commercially viable solutions. Support opportunity qualification, workshops, bids, proposals, solution design, and account strategy while collaborating with sales teams and technology partners. Present solutions to technical and executive audiences, develop propositions and thought leadership, monitor market trends, and share customer insights. Travel to client sites and industry events as required.

Lead monthly commercial performance narratives and executive reporting, translating analytics into decisions for senior leaders. Consolidate regional and global insights, improve commercial traction processes, and influence growth priorities across markets, product, finance, and strategy. The role also promotes advanced analytics and AI-enabled insights in executive decision-making.

Build and productionize classical machine-learning models for lead quality and traffic performance, including classification, ranking, anomaly detection, and forecasting. Apply decision science through contextual bandits, experimentation, causal methods, and off-policy evaluation to improve agent decisions. Monitor models, measure commercial impact, establish guardrails, and collaborate with AI engineers, product managers, platform teams, and business operators.

Develops AI-led go-to-market strategies and client-ready propositions for retail and consumer businesses. Frames complex commercial challenges, creates decision-ready recommendations, aligns UK and global strategy teams, and supports high-profile client opportunities, including RFPs and redesign processes. The role requires structured problem solving, commercial understanding of AI and analytics value, and strong communication for senior audiences.

Drive new enterprise business across pharmaceutical and biotechnology companies. Own the full sales cycle, land new logos, manage complex multi-stakeholder pipelines, and build long-term partnerships. Engage scientific, technical, procurement, and executive buyers while translating an AI-native biology platform into customer value. Partner with founders, product, science, and customer teams to refine sales messaging and go-to-market processes. Represent the company at industry events and customer meetings.

Leads digital delivery and optimization across AECOM’s England and Wales water operations. Develops digital strategies, advises clients on transformation, data governance, operating models, and platform adoption, and promotes AI, machine learning, and data science. Identifies automation opportunities, supports MVP development, manages digital adoption and team capabilities, contributes to bids, and facilitates client workshops and stakeholder presentations.

Leads digital delivery and optimization across AECOM’s England and Wales water operations. Develops digital strategies, advises clients on transformation, promotes AI, machine learning and data science adoption, identifies automation opportunities, supports MVP development, manages regional delivery enablement, contributes to bids, and facilitates client and stakeholder workshops.

Leads digital delivery and optimisation across AECOM’s England and Wales water operations. Advises clients on digital transformation, data governance, operating models, platforms and roadmaps; identifies AI, automation and data science opportunities; develops digital strategies and workplans; supports bids; manages adoption and capability development; and facilitates client workshops and stakeholder presentations.

Develop and improve data science and machine learning models for marketing and consumer insights, including attribution, personalization, forecasting, experimentation, and marketing measurement. Prepare datasets, define evaluation metrics, support model deployment, and generate insights from media, pricing, promotions, and syndicated data. Collaborate with product owners, data engineers, and machine learning engineers; contribute to responsible AI governance, code reviews, reusable AI assets, and mentorship of junior team members.

Own the US Cards product vision, roadmap, and customer lifecycle from first transaction through retention. Manage credit lines, pricing, engagement, balances, propositions, and mobile app experiences. Build new credit products, prototype and implement hands-on, use AI for analysis and experimentation, and lead cross-functional work across Credit, Growth, Design, Data Science, and Compliance. Measure success through customer and business outcomes.

Lead European sales and enterprise account management for cloud, IoT, energy management, building automation, and analytics solutions. Responsibilities include prospecting, negotiating and closing large contracts, managing strategic accounts, engaging senior executives, coordinating presales and engineering teams, tracking KPIs, overseeing customer satisfaction, and communicating technical and financial value. The role requires controls sales experience, ROI and savings quantification expertise, and travel up to 50% of the time.

Leads Ofcom’s research innovation and data strategy, overseeing statistics, analytics, behavioural research, innovative research methods, and programme management. The role develops responsible data and AI capabilities, improves access to insight, strengthens cross-organisational collaboration, manages senior teams and budgets, and represents Ofcom externally. It requires strategic leadership, advanced data science and research expertise, data ethics knowledge, programme management, change leadership, and the ability to communicate complex analysis to regulatory, policy, commercial, and external stakeholders.

Develop and integrate statistical and machine learning sports models for DraftKings’ Sportsbook platform. Responsibilities include engineering sports data assets, implementing models and pricing engines in Python, testing data flows and integrations, supporting CI/CD quality practices, collaborating across Trading, Product, Engineering, and QA, and mentoring junior data scientists.

Drive Dataroid’s UK enterprise sales expansion, primarily targeting banks and financial institutions. Build market presence, develop go-to-market plans, prospect proactively, manage qualified pipelines, engage senior decision-makers, secure executive meetings, and close new business. Collaborate with leadership, product, and technical teams to advance opportunities while providing market insights and customer feedback.

Develop data-driven solutions to complex real-world problems using data science, machine learning, statistical modeling, and analytical reasoning. Candidates should currently work in a technical data science or machine learning role at a leading technology company, hold a quantitative undergraduate degree from a top-ranked university, and reside and work in an eligible English-speaking country.