Top Data Jobs in London

Lead and grow Modash's Data Products focusing on API customer journey, revenue growth, and team management, aiming for significant revenue increase.

The Senior Data Scientist will build and operate production-grade machine learning systems, optimizing models for real-time decision-making and predictive analytics.

Manage the product strategy for Hiscox's Data Ecosystem, ensuring it meets analytics and integration needs while collaborating with stakeholders and leading cross-functional teams.

Manage data science and strategy consulting for consumer products and manufacturing sector, leading business development and client relationships, and guiding team growth.

Design, build and maintain batch and streaming data pipelines on a GCP-based platform. Implement infrastructure with Terraform, optimise storage and costs, support analytics layer (BigQuery, Looker), collaborate with stakeholders and data teams, and ensure testing, observability, security, and data quality.

The Programme Manager will lead complex data center projects, manage client relationships, identify new business opportunities, and enhance programme delivery through digital solutions.

The Director of Cost Management for Data Centres in Milan will lead strategic cost management services, engage teams, ensure compliance, and build client relationships while delivering complex construction projects.

Lead marketing measurement and forecasting to optimise growth. Design and analyse geo-lift and A/B experiments, partner with marketing and finance to measure LTV and campaign ROI, and work with engineers to ensure correct data collection and reporting.

Build and maintain ETL/ELT pipelines, data warehouses and lakehouse environments to support underwriting, forecasting, scenario modeling, and portfolio analytics. Ensure data quality, governance, and documentation while partnering with investment teams to translate requirements and automate workflows.

The Data Architect will design and evolve the data architecture for Elsevier's submissions platform, facilitating modern data practices and AI workflows.

The Senior Software Engineer II will design and implement generative AI services, drive architectural standards, mentor engineers, and collaborate across teams to enhance data solutions.

The VP of Strategy will lead the strategic agenda for Data Services, drive innovation and business growth through market analysis, investment priorities, and effective execution of strategic plans.

Lead quantitative investigations to evaluate product and trading performance across flexibility markets. Build simulation and optimisation models, analyse customer and market data, develop SQL/DBT pipelines, use Python to automate analysis and dashboards, and translate results for stakeholders to inform strategy.

The BI Developer will lead business intelligence and reporting initiatives, turning complex media data into actionable insights, while mentoring others and innovating BI solutions using AI.

As Data Engineering Lead, you will own the technical direction of a data platform for the debt capital market, leading ingestion, orchestration, and API development. You will mentor engineers and establish operational standards to improve product delivery.

Lead assessment and redesign of backend architecture to improve reliability, scalability, multi-tenancy, and security. Design core abstractions and pipelines with platform/infrastructure teams, set technical direction for scaling to thousands of customers and tens of millions of documents, raise engineering standards, and ship production-grade systems while remaining hands-on.

Lead the delivery of high-impact marketing effectiveness programs using data science methods for international clients, managing teams and ensuring actionable insights are provided.

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

The Senior Manager, Data Risk & Controls oversees data governance, ensuring proper data ownership, quality controls, regulatory compliance, and effective risk management, while collaborating on technology delivery and audit engagements.

The Senior Data Analyst will lead fraud analysis, optimize fraud controls using SQL and Python, and manage fraud reporting and dashboards, collaborating with various teams.

Work cross-functionally to design and execute data-driven strategies across pricing, promotions, forecasting, growth, credit risk, and product analytics. Build models and monitoring, evaluate new product/channel opportunities, present insights to leadership, validate deployed strategies, and mentor junior analysts to scale the business.

Lead and transform software and data engineering at Capital Group, inspiring a large team to drive strategic growth and innovation across various sectors.

The Data Scientist will collaborate with Research and Trading desks to manage index data, build data pipelines, and innovate data extraction methods.

Interns will design, build, and manage data solutions supporting trading operations, collaborating closely with Traders, Researchers, and Engineers in a high-performance environment.

The Tech Recruiter will manage hiring processes, ensure diversity and inclusion, and refine processes using data. Responsibilities include sourcing candidates, working with hiring managers, and creating a positive candidate experience.