Top Data Jobs in London

Design and manage data infrastructure with a focus on Snowflake, data modeling, and engineering. Lead data architecture and governance, ensuring quality for AI applications and analytics.

The Junior Financial Data Analyst will manage finance master data in ERP systems, ensure data integrity, and collaborate with the Finance Team.

Build end-to-end testing, evaluation, and feedback systems for a global GenAI assistant. Design data pipelines, APIs, and dashboards; own features from design to production; ensure safety, compliance, and quality; provide technical leadership and mentor peers.

The Market Data Software Engineer will lead the architecture and implementation of a low-latency market data platform, oversee engineering teams, manage projects, and ensure data quality and governance for financial services.

Seeking a Software Engineer for Regulatory Reporting to build backend systems ensuring compliance. Responsibilities include system design, data integration, and audit support.

Contribute to the Data Engineering team by building data models, optimising the Data Warehouse, and improving data quality while applying best practices.

As a Data Scientist, you'll build and manage high-quality datasets for secure Generative AI, collaborate on data needs, and ensure model performance.

The Senior Principal Data & Insights role focuses on leading a team to drive data-driven decision-making globally, using tools like Power BI and ThoughtSpot, while ensuring process improvements and alignment with business objectives.

Lead Brambles' enterprise data foundations program: define and scale data strategy, governance, MDM, metadata, data quality and architecture; coordinate cross-functional delivery, embed data into ERP/analytics/digital programmes, build teams, and ensure compliance and global adoption.

As a Senior Research Data Scientist, you will apply machine learning and statistical techniques to solve complex business problems, develop science-based solutions, and conduct data analysis for global clients like Tesco and Coca-Cola.

The Data Business Analyst translates financial crime-related business needs into data requirements, ensuring data quality and governance while collaborating with stakeholders and technical teams.

Manage sales for Grid Automation solutions targeting data centres, develop strategies, collaborate with partners, and influence customer requirements.

As a Senior Product Data Scientist at MoonPay, you will analyze data to influence product strategy and optimize the customer onboarding journey, working with cross-functional teams to drive business impact.

Lead project teams in delivering bespoke algorithms, mentor other data scientists, and shape client relationships in the defence and national security sector.

Responsible for developing backend AI features, integrating machine learning models, building data pipelines, and maintaining AI services within a retail ecosystem.

As a Senior Data Engineer, you will manage complex data projects, lead small teams, and work with clients on data engineering solutions. Responsibilities include ETL development, data pipeline orchestration, and customer relationship management.

As a Data Science Managing Consultant, you will lead business development, manage teams, and deliver data-driven solutions in the transport sector, while coaching junior staff and contributing to thought leadership.

Manage, validate, and enhance FactSet's Technology sector datasets; integrate new sources into products and APIs; translate client needs into product requirements; build visualizations and collaborate with engineering, QA, and stakeholders.

Guide clients through Workday HCM data transformations and implementations, utilizing various Workday tools for data migration, validation, and client support.

As a Data Architect, you'll lead traditional data architecture practices, provide technical guidance, manage a team, and engage with clients.

The Senior Data Platform Engineer will design and build modern data platforms, develop high-performance pipelines, and optimize data storage and performance while consulting directly with clients to deliver impactful solutions.

Build and maintain cloud-native data products and automated pipelines using streaming technologies and machine learning. Collaborate in cross-functional teams to design architecture, improve engineering practices, and deliver production data solutions on AWS.

Serve as the primary data partner to Fundraising and Marketing: define and document KPIs, build production-grade data models and forecasts, create scalable data products, run donor cohort and ROI analyses, support experiment design, and collaborate with data engineering and CRM owners to improve data quality and reporting.

Lead data strategy and insights to drive strategic decision-making and improve product strategies; collaborate with cross-functional teams to harness data for growth.

Build and maintain analytical tools and predictive models (claims, fraud, risk KPIs); engineer rating factors; identify and monetise new data sources; collaborate with actuaries, data engineers and pricing analysts to deploy ML-driven pricing solutions.