Top Data Science Jobs in London

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.

Own EMEA pricing and affordability workstreams from strategy through execution and measurement. Translate customer and commercial insights into pricing, promotion, and investment decisions; partner with Data Science on optimization and experimentation; collaborate with Product and Engineering on scalable capabilities; and present clear recommendations to senior leaders. The role focuses on balancing customer value, growth, and sustainable economics in a fast-moving environment.

Leads the vision, strategy, roadmap, and investment priorities for author submission, manuscript screening, and research integrity products. Oversees a portfolio spanning customer experience, quality checks, workflow orchestration, data, and responsible AI. Builds and develops product management teams, drives cross-functional alignment, communicates with executive leadership, and improves submission quality, screening effectiveness, author experience, and research trust outcomes.

Leads digital delivery and transformation across AECOM’s England and Wales water operations. Develops digital optimization strategies, advises clients on data governance and platform adoption, identifies AI, automation, and data science opportunities, and supports MVP development. The role manages regional adoption, facilitates stakeholder workshops, contributes to bids, and translates digital strategy into measurable delivery plans across complex infrastructure programs.

Leads digital delivery and transformation across AECOM’s England and Wales water operations. Develops digital optimisation strategies, advises clients on data governance and platform adoption, identifies AI and automation opportunities, supports MVP development, and drives adoption of digital solutions. The role also manages delivery teams, contributes to bids and tenders, facilitates client workshops, and translates digital strategies into measurable workplans.

Leads digital delivery and optimisation across AECOM’s England and Wales water operations. Develops digital strategies, advises clients on transformation, data governance and platform adoption, promotes AI and data science, identifies automation opportunities, supports MVP development, enables regional teams, contributes to bids, and facilitates client workshops and stakeholder presentations.

The Customer Director grows strategic retail accounts, identifies new business opportunities, leads complex AI transformation programs, and manages senior stakeholder relationships. They shape commercial pitches, advise C-suite clients on AI adoption, oversee multidisciplinary delivery teams, and contribute to thought leadership across grocery and fashion retail. The role combines revenue ownership, strategic consulting, technical credibility, and practice leadership.

Leads Expedia B2B’s analytics organization, managing analytics managers and senior analysts while shaping multi-year analytics roadmaps and business strategy. Partners with senior stakeholders to drive measurable outcomes, guides statistical and machine learning applications, establishes analytics engineering and visualization practices, develops talent, and collaborates with data engineering, product, and machine learning teams on scalable solutions.

Own the backlog and roadmap for AI- and data-enabled products, translating business problems into requirements, user stories, analytical criteria, and measurable outcomes. Coordinate Data Science, Engineering, Architecture, Security, Risk, Compliance, and suppliers through discovery, experimentation, delivery, launch, adoption, and continuous improvement. Ensure products are evaluated, governed, secure, compliant, and operationally ready while managing prioritization, dependencies, risks, stakeholder alignment, UAT, training, and change management.

Leads Coca-Cola’s market-level digital commerce strategy across online grocery, quick-commerce, and aggregator platforms. Aligns bottling partners, retailers, and internal functions around growth, performance metrics, pricing, promotions, retail media, and profitability. Uses analytics, predictive modeling, and AI to improve forecasting, conversion, assortment, and customer economics. Builds senior partnerships, scales digital pilots, and adapts global commerce frameworks to local and European markets. The role requires strong commercial, financial, stakeholder-management, and eCommerce leadership capabilities.

Lead strategic AI product engagements for enterprise and public-sector clients. Define product strategy, lead discovery and prioritization, guide cross-functional teams, advise senior stakeholders, and ensure AI products deliver measurable commercial or public benefit. Build client product-development capabilities, shape evaluation strategies, support business development, contribute thought leadership, and coach product managers.

Leads enterprise AI strategy and a team of data scientists, machine learning engineers, and AI engineers. Oversees development and deployment of predictive, generative AI, and agentic solutions across business functions. Establishes specification-driven development practices, API and data contracts, automated testing, governance, ethical guardrails, and model monitoring. Partners with senior stakeholders to translate business challenges into scalable AI initiatives and recruits and mentors a high-performing organization.

Design and improve job-aligned instructional programmes for Data Science, Analytics, and generative or agentic AI learners. Apply backward design and ADDIE to create measurable outcomes, assessments, multimedia, branching experiences, and high-touch learning moments. Evaluate AI-generated content, use prompt engineering to accelerate development, identify learning-impact gaps, influence stakeholders, and prototype scalable learning formats.

Leads AI product opportunities across biopharmaceutical process development and technology transfer. Identifies AI applications in process understanding, scale-up, transfer, validation, and manufacturing readiness; translates scientific challenges into product requirements; and coordinates cross-functional Fusion Teams, backlogs, delivery rhythms, lifecycle stages, and stage-gate evidence. Partners with scientists, engineers, manufacturing SMEs, AI Engineering, Data Science, and platform teams while supporting roadmap alignment and stakeholder reporting.

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.

Partners with sales teams, channel partners, and customers to understand business needs and position Snowflake solutions. Presents technology to technical and executive audiences, leads demos and proofs of concept, develops technical champions, designs architectures, and supports implementations throughout the sales cycle. Maintains expertise in data technologies, cloud platforms, competitors, and emerging Snowflake capabilities while collaborating with Product, Engineering, Marketing, and implementation partners.

Senior Solution Engineer responsible for supporting UK sales cycles through technical presentations, demonstrations, proofs of concept, solution design, and implementation guidance. The role partners with account teams, customers, channel partners, Product, Engineering, and Marketing to solve complex data challenges, develop technical champions, position Snowflake against competitors, and drive technical wins. Strong expertise in data architecture, analytics, cloud technology, SQL, customer communication, and solution engineering is required.

Own and develop a complex underwriting product roadmap from discovery through delivery and adoption. Prioritize backlogs, define requirements and sprint goals, manage dependencies, and ensure measurable business value. Partner with underwriters, product managers, developers, data science specialists, suppliers, and senior stakeholders to deliver AI-enabled workflow improvements. Lead Agile ceremonies, communicate risks and trade-offs, support governance forums, and coach less experienced Product Owners.

Manage workstreams delivering bespoke AI projects across education and public services. Responsibilities include understanding client needs, translating operational and pedagogical requirements into user stories, coordinating multidisciplinary technical teams, supporting AI safety and evaluation, facilitating client workshops, and contributing to proposals and thought leadership. The role focuses on practical, fair, evidence-backed AI solutions that improve learning and public-sector outcomes.

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.

Lead enterprise architecture consulting engagements by aligning technology strategy with business goals, developing architecture frameworks, capability models, operating models, and transformation roadmaps. Advise senior client stakeholders, support sales and proposals, govern solution delivery, mentor teams, and build internal architecture methodologies and offerings. The role spans business, data, application, technology, infrastructure, cloud, emerging technologies, security, and enterprise transformation.

Leads Talos’s digital asset data business, owning its P&L, product strategy, commercial model, client outcomes, and growth. Sets packaging, pricing, distribution, and investment priorities for self-service and enterprise offerings. Oversees research, product, and data science teams while partnering with sales, marketing, engineering, and executives. Builds the data business brand, develops a high-performing team, and drives retention, expansion, forecasting, and sustainable revenue growth.

Lead UK and Northern Europe commercial growth through new business origination, enterprise account development, consultative selling, RFPs, negotiations, pipeline forecasting, sales enablement, partnerships, and market development. Manage the Commercial Manager and collaborate with Partners, delivery teams, marketing, and global commercial functions to improve revenue conversion, commercial processes, and client growth.

Own the Transaction Monitoring product domain across fiat, crypto, card, and hybrid payment flows. Define strategy, roadmaps, AML rules, risk typologies, predictive model requirements, and scalable regulatory controls. Partner with Compliance, Engineering, Data Science, and operational teams; manage blockchain analytics and travel rule vendors; reduce false positives; improve alert quality; and support audits and regulatory reviews.

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.