Top Data Jobs in London

The Complaints Specialist will handle insurance complaints, improve processes, coach team members, and report on performance metrics while owning their specialist function.

The Principal Data & AI Architect designs data models, constructs data platforms, leads analytics strategies, and ensures technical governance to enhance client ROI and decision-making.

Develop scalable cloud-native platforms for real-time tick data. Collaborate with researchers, architect systems, and build distributed data architectures.

The Senior Data Business Analyst will lead end-to-end data analysis across insurance data systems, collaborate with stakeholders, and enhance data reporting solutions.

Build and operate distributed ingestion and processing pipelines, ensure reliability and performance, define data contracts, add observability and testing, improve platform reliability and CI/CD, and participate in design/code reviews and incident retrospectives.

Lead iwoca's data science function, developing probabilistic models for lending decisions and embedding AI across the business, while managing team growth and strategic direction.

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.

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.

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.

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