Top Data Jobs in London

Design and implement AI-powered internal tools for GTM use cases, managing full lifecycle from data modeling to production. Collaborate closely with GTM teams to translate data into actionable insights with a focus on measurable business impact.

Lead innovative data solutions across various sectors by engaging stakeholders, delivering technical projects, and developing team capabilities while promoting data-driven insights.

Seeking a Data Consultant for innovative data-driven solutions across sectors like rail and energy, focusing on stakeholder engagement and technical project delivery.

As VP of Engineering and Data, you'll lead a growing engineering team, oversee AI initiatives, grow the data function, and ensure alignment with product and business outcomes.

The Data Integrity Specialist will maintain stock accuracy, investigate discrepancies, and improve data quality within logistics and manufacturing environments.

As a Data Software Engineer, you will enhance reference data products, establish technical direction, and ensure data quality and compliance within trading systems.

The Senior Data Scientist will lead AI projects, mentor junior staff, design software architecture, and engage with clients to deliver quality data science solutions.

The Senior Data Platform Engineer will lead the development of scalable Snowflake services, automation, CI/CD pipeline design, and security controls to optimize data-driven healthcare projects.

The Data Scientist develops data pipelines, machine learning models, and optimization models, integrating features into the product's technical stack and business processes.

As a Staff Data Analyst, you will develop strategic insights for key product domains, lead analytical investigations, own impact modeling, and ensure alignment of metrics with company goals. You will partner with senior stakeholders to influence strategy and elevate analytical standards across teams.

The Senior Data Analyst will analyze business operations and performance metrics to inform strategic decisions and improve revenue retention and efficiency, collaborating with various teams to provide insights and drive impact.

The Data Engineer will analyze, clean, and manage various datasets to assist traders at Jane Street, automating ETL processes and ensuring data quality.

The Market Data Specialist will improve data quality in the Security Master and Corporate Action Management systems, troubleshoot issues, and interface with data providers.

The Data Scientist will lead client projects, utilize data science techniques, and manage stakeholder relationships while developing scalable models. Strong communication and problem-solving skills are essential, focusing on innovation and collaboration.

As a Data Engineer, you'll develop data pipelines, manage data integration and transformation, and support analytics and intelligence projects for government clients.

This role oversees the data engineering strategy at Sony Interactive Entertainment, driving initiatives across Player, Partner, and Enterprise data domains, ensuring high-quality, scalable data products that inform decisions and optimize operations.

Design, build, and deploy machine learning models to detect fraud, prevent losses, and monitor risk. Work with Product, Engineering, and Operations to turn large-scale data into production-ready pipelines and model-serving solutions, monitor performance, and continuously improve model accuracy and business impact.

Second Line risk role providing independent oversight of product, platform and infrastructure risks for Workspace. Responsibilities include end-to-end risk monitoring, embedding risk in change and strategy, assessing technology/data/AI risks, driving risk framework maturity, challenging the First Line on controls and remediation, governance and assurance, and leading investigations to generate forward-looking risk insights.

Design, build, and maintain scalable data pipelines and transformations using Python/PySpark on Azure (ADF, ADLS Gen2, Synapse). Own pipelines in production, perform monitoring, troubleshooting and performance tuning, create SQL views/tables, support analytics and AI use cases, enforce data governance, collaborate with stakeholders, and maintain documentation and runbooks.

Customer-facing senior solutions architect driving pre-sales and technical engagements for Data & AI. Qualify opportunities, run workshops, design lakehouse/data warehouse architectures, lead proofs-of-value, produce demos and reusable assets, support proposals and partner/co-sell activities, and translate customer needs into delivery-ready solutions while influencing product and go-to-market strategy.

Monitor and manage live football betting markets, analyse live and historical football data, adjust prices in response to events, identify trading opportunities, collaborate with analysts to refine models, and maintain accuracy under pressure during matches.

Lead and execute global data strategies for major clients, translating data and adtech capabilities into measurable business outcomes. Develop roadmaps, design audience and measurement frameworks, customize platforms (WPP Open, Infosum), engage senior stakeholders, drive commercial growth, mentor junior staff, and coordinate cross-functional delivery across media, analytics, and technology teams.

Lead and deliver global data strategies for major clients, translating adtech/martech capabilities into measurable outcomes. Design roadmaps, audience strategies, measurement frameworks, and platform integrations. Build senior client relationships, mentor junior staff, support product deployment and commercial growth, and drive thought leadership across WPP's data offerings.

Lead and deliver multiple data and analytics engagements for private equity clients across Europe: shape proposals and pricing, drive go-to-market, set delivery standards for UK-India delivery, mentor senior staff, engage C-suite stakeholders, and travel extensively to support portfolio companies.

Lead end-to-end clinical data management for complex programmes: set programme-level standards, oversee EDC and integrations (eCOA, external data, Safety Gateway), manage vendors/CROs, author study documentation, support inspections/audits, mentor leads, and represent data management cross-functionally.