Top Data Jobs in London

We seek a Senior Technical Solution Owner to lead AI and data platform initiatives, oversee product lifecycle, and facilitate Agile delivery while managing technical architecture and stakeholder communication.

Collaborate with traders and researchers to design and build robust data systems for trading analysis in a fast-paced environment.

The Senior Applied Data Scientist will lead complex projects, apply machine learning techniques, and communicate insights for Tesco's food categories.

Join the data infrastructure team to design and implement services for data ingestion and processing, while ensuring code quality and system robustness.

As a Software Engineer in Data and Lifecycle, you'll design and implement solutions for trade automations, maintain reference data, and collaborate with stakeholders.

Seeking a Software Engineer for the Data and Lifecycle team to automate trade processes, maintain reference data, and collaborate with stakeholders on derivatives.

The Market Data Auditor conducts audits on market data usage, ensures compliance with policies, and identifies reporting discrepancies.

The role involves leading M&A data management, optimizing data collection processes, driving revenue growth, and collaborating across product, sales, and client success teams.

The Data Engineer will design, build, and maintain data infrastructure, develop warehousing solutions, automate data pipelines, and ensure data compliance while fostering collaboration with stakeholders.

Lead a team of Data Analysts to ensure data quality for Citymapper's products, partnering with cross-functional teams to drive insights and improvements.

The Director of Data Operations will lead the data teams, ensuring operational excellence and strategic alignment while managing priorities and team growth.

As a Senior Data Analyst, you'll analyze complex datasets, develop dashboards, collaborate with teams, ensure data integrity, and conduct statistical analyses.

As a Senior Data Scientist, you will design and maintain machine learning systems, collaborate with teams, and analyze complex datasets to generate actionable insights.

The Senior Technical Program Manager will drive the planning and execution of initiatives in data platforms, coordinating teams, improving operational performance, and ensuring transparency through metric-led reporting.

As a Senior Data Scientist, you will lead the development of algorithms for payment solutions, working with cross-functional teams to enhance fraud prevention and payment success, utilizing advanced machine learning techniques.

Manage and mentor Data Scientists in Payment Intelligence, oversee ML models for payment decisions, and guide strategic roadmaps while collaborating across teams.

The Java Engineer will develop and optimize data-intensive backend services, manage data feeds, and work on real-time insights for sports events.

As an AI Data Scientist, you will design and deploy AI tools for market research, analyze data, and collaborate across teams, utilizing machine learning and data processing techniques.

The Data Engineer will build and maintain data pipelines, architecture, and CI/CD infrastructure, collaborate with stakeholders, and support AI components to enhance data management capabilities.

Design and deliver enterprise-level data solutions using Azure and SQL products, guiding teams and ensuring customer satisfaction while promoting data insights.

The Senior Data Analyst will own analytical frameworks linking product adoption to business success, conduct deep-dive analyses, and create actionable insights for stakeholders.

The Market Data Analyst will manage and analyze market data across asset classes, contribute to analytics development, and ensure data quality for risk reporting.

The Data Engineer will design, build, and maintain data pipelines and cloud infrastructure for analytics and AI, collaborating with teams to enhance data-driven decision-making.

Lead a data engineering team to build a platform for data usage, drive improvements, and manage recruitment while fostering collaboration and innovation.

The job involves designing and delivering analytics solutions using machine learning, mentoring junior team members, and collaborating across departments to enhance gameplay through data insights.