Top Data Jobs in London

Lead design and delivery of cloud-native Data Integration Services to enable discovery, access, sharing, and governance of large simulation and ML datasets. Define data access patterns, storage integrations, permissioning, lifecycle, observability, and platform standards while mentoring engineers and driving cross-team adoption.

Provide methodological and statistical leadership across projects, design and deliver advanced analytics and ML solutions (including deep learning and NLP), mentor staff, manage client relationships, and drive business development in health outcomes and pharmaco-economics.

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

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.

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 DataOps Engineer will manage data architecture, ingestion processes, and operational support for market data platforms, optimizing for performance and scalability while liaising with commercial teams.

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

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.

Lead the Data Engineering team at Intercom, overseeing data infrastructure, mentoring engineers, and driving strategy for advanced analytics and AI applications.

As a Senior Research Engineer, you will manage data lifecycle for researchers, build a human-centric data lake, and enhance model performance through high-quality datasets in an AI-driven environment.

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

Lead the data strategy focusing on AI, analytics, and customer personalization to enhance retirement experiences while building a high-performing data team.

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 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.

Partner with product and commercial stakeholders to own data relationships, report on performance and experiments, build self-serve analytics, contribute to data modelling and AI/ML projects, and deliver actionable insights via dashboards and deep-dive analysis.

Build and maintain Looker dashboards and core data models, write and optimise SQL in BigQuery, support the modern data stack (Fivetran, dbt), perform ad-hoc and cohort analyses, and partner with cross-functional teams to drive pricing, revenue, and strategic decisions while improving data quality and documentation.

Own a product vertical end-to-end: run discovery, write specs, prioritize backlog, ship and iterate with engineering. Build customer relationships, set product strategy, measure impact, and collaborate across teams to deliver AI-driven document workflow features for financial services customers.

The Senior Data Operations Manager oversees platform management, user engagement, technical support, and data quality in a media planning context. They manage a direct report and work closely with developers to enhance platform functionality and ensure user satisfaction.

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 role involves developing and supporting data processing pipelines, collaborating with ML Engineers, and improving infrastructure while mentoring team members.

The Lead Data Engineer will design and build scalable data infrastructure, mentoring team members and driving data strategies across the organization.

Lead technical discussions and project delivery for HV Data Centre and substation engineering, ensuring compliance with standards and mentoring junior staff.

Lead and build a team of engineers in developing foundational data collection systems at Spotify. Ensure technical delivery and foster collaboration across teams.

Join the Enterprise Engineering team to extend and support existing systems and engage in greenfield projects, merging technology with business functions across Trading, Operations, and Finance.