Top Data Jobs in London

As the Global Director of Social Data, you will establish social media measurement strategies, manage analytics, and lead a global team to enhance data-driven decision-making for brands.

The Product Lead will define and lead the strategy for data and marketing technology products, ensuring alignment with enterprise goals and driving product-led delivery across teams.

The Data Product Owner will manage the entire data lifecycle, lead a team of engineers, and align product vision with business goals in a remote setting.

The Data Product Analyst designs and manages data products for insurance domains, ensuring they meet analytical and compliance standards while collaborating with cross-functional teams.

The Senior Threat Data Infrastructure Engineer will manage infrastructure for threat intelligence collection, maintain projects, and enhance workflow efficiency for analysts.

The Senior Manager of International Data Technology leads data and reporting strategy, evaluates technologies, manages projects, and develops the reporting team while ensuring stakeholder engagement.

As a Data Scientist in the GenAI CoE, you'll design experiments, build GenAI systems, and analyze results. This hybrid role emphasizes collaboration and innovation, focusing on improving AI solutions and processes.

Own marketing analytics and insight generation to improve acquisition, conversion and unit economics. Build dashboards, run attribution and A/B tests, use SQL/Excel and GA4, and partner with Marketing, Product and Data teams to drive data-driven campaign planning and performance.

Lead and mentor data engineering teams to design, build, and optimize scalable ETL/ELT pipelines and data architectures on cloud platforms, ensuring data quality, performance, and alignment with business needs.

Design, build and maintain ETL/ELT pipelines and data models using Python, SQL, Spark and Azure. Ensure data quality, governance and performance, create dashboards, and work with cross-functional teams to deliver scalable data solutions.

Lead and deliver customer-facing analytics products; modernise and architect a scalable cloud data platform; define and socialise data strategy; build and lead a high-performing data team; align technical data capability with product and commercial needs to create trustworthy, usable insights for care providers.

Lead delivery of the Data Platform programme: define and track programme OKRs, run steering sessions, manage risks, create roadmaps and reporting, mentor project managers, improve processes, and enable teams to deliver effectively across multiple locations.

Design and build scalable data pipelines, data models, and feature stores for analytics and ML. Deploy and manage cloud-native AWS data applications using CI/CD. Ensure production pipeline quality, performance, and reliability with strong observability and engineering best practices while collaborating with ML engineers, data scientists, and BI developers.

The Data Scientist will convert business questions into analytics models, deploy them, manage data pipelines, and work with commercial teams to enhance decision-making.

Lead Workday data migration, harmonisation, governance and ongoing data operations across HCM and Financials. Design data strategy, oversee mapping/conversion using Workday tools, validate loads, build quality metrics, advise stakeholders, lead data workstreams, mentor consultants and support pre‑sales activities.

Customer-facing technical leader owning long-term technical success and value realization for strategic enterprise accounts. Architect and lead implementations, migrations, and scalable cloud-native deployments; build joint success plans; monitor adoption and health; partner with Sales, Product, and Engineering; and provide technical guidance, reference architectures, and feedback to drive predictable expansion and customer outcomes. Travel to customer sites as needed.

Own the end-to-end lifecycle of Liberis' data products: define strategy and roadmap, design scalable data models and analytics frameworks, build dashboards and metrics, lead the Data domain from a product perspective, and align cross-functional teams to enable data-driven decisions across the business.

Manage Unity Audience Hub lifecycle: ingest and model first-party data, build audience segments, run clean-room collaborations, provide measurement frameworks and campaign reporting, support sales with custom segments and insights, and partner with technical and product teams to drive programmatic ad performance.

As a Principal Data Scientist, you will lead complex data science initiatives, mentoring junior colleagues and collaborating with cross-functional teams to enhance business value through data-driven solutions.

The role involves building and scaling data infrastructure for multimodal AI systems, developing high-throughput data pipelines, and collaborating with ML researchers and product teams to enhance data systems.

Design, build, and optimize Tableau dashboards and underlying SQL datasets (views/materialized views) from AWS Redshift. Translate stakeholder requirements into BI data models (star/snowflake), author complex SQL (CTEs, window functions), and deliver executive-ready visualizations and data storytelling to support decision-making.

The Product Data Science Manager will lead a team of data scientists, deliver custom insights, ensure analytical standards, and collaborate across teams.

As a Senior Data Scientist, you will lead high-complexity projects, develop ML and NLP solutions, and collaborate across teams to drive business impact through statistical modeling and data analysis.

The role involves building ETL pipelines, optimizing datasets, leveraging public cloud technologies, and integrating with data science initiatives to support business-critical data and analytics products.

As a Senior Data Analyst, you will analyze subscription funnels and user behavior, develop LTV models, and collaborate with teams to enhance user engagement and retention strategies.