Top Data Jobs in London

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.

As a Senior AI Data Scientist, you will design and develop AI-driven tools for market research, analyze data, and collaborate with cross-functional teams.

The Logistics Specialist - Data Analyst will provide insights, trend analysis, and forecast using various data sources, supporting logistics operations and strategic goals.

The Data Engineer will optimize, support, and build data products, manage CI/CD pipelines on GCP, develop data pipelines, and collaborate closely with stakeholders.

Support the Production Finance team with data extraction, analysis, and visualization. Collaborate with stakeholders to improve data quality and reporting.

Lead financial modeling and analysis for international growth, developing robust models and insights to support Adobe's expansion strategies.

As a Data Integration Engineer, you will integrate data sources, ensure data quality, optimize workflows using FME, and collaborate with stakeholders on data solutions.

As a Digital Data Science Apprentice, you will work with experienced teams to understand client needs and develop data solutions, gaining hands-on experience in analytics and AI.

Lead and manage data analysis projects at Pfizer, utilizing strong communication and analytical skills to improve processes and guide operational teams.

As Associate Director in Data Products Sales, you will manage client relationships, drive sales strategies, identify income opportunities, and analyze data trends to enhance service offerings.

The Data Specialist prepares sponsor-specific information packages, manages opportunity tracking workflows, and maintains CRM systems to support FSG in investment banking initiatives.

Oversee data management services for clinical projects, ensuring quality, budget adherence, and customer satisfaction while managing team deliverables and client relationships.

The Data Scientist will focus on product growth by analyzing user engagement and driving insights into activation, retention, and monetization across the Creative Platform.

Lead the data product strategy for Digital Demand Transformation, focusing on governance, activation, stakeholder engagement, and continuous improvement of data initiatives.

The Lead Data Engineer will manage a data engineering team, oversee data pipeline operations and drive the migration to a new data stack while ensuring data quality and governance.

The Data Processor will support the team in delivering quality data on time, using various software and ensuring compliance with data protection policies.

As a Data Engineer, you'll develop and maintain data pipelines, integrate complex datasets, and ensure data quality for quantitative trading strategies.

As a Python Data Engineer, you will design and implement applications, collaborate on software delivery, and mentor junior developers while ensuring code quality and performance within the data platform.

As a Data Analyst, you will conduct analysis to generate insights, create dashboards, and partner with cross-functional teams to enhance data-driven decision-making.

As a Principal Data Engineer, you will lead data platform initiatives, ensuring technical excellence, mentoring teams, and simplifying legacy systems while collaborating with cross-functional partners.

This role drives global market data sales, develops APAC revenue streams, manages client relationships, and collaborates with internal teams.

As Principal Software Engineer, you will design and deliver AI-driven protein engineering systems, manage complex biological data, and guide engineering best practices.

As a Senior Systems Engineer, you'll assist customers with installations, define product requirements, and lead sales strategies for storage solutions.

Join the insights team as a Data Scientist to enhance Spotify's consumer experiences through data analysis, collaboration, and innovative product features.

As a Data Engineer, you will design, implement data infrastructure, develop pipelines, and ensure data integration across multiple sources while maintaining communication with stakeholders.