Top Data Jobs in London

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

The Senior Data & AI Consultant will deliver enterprise-level solutions in AI, Data Science, and Machine Learning, engaging with clients and mentoring teams while utilizing the Microsoft Azure technology stack.

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

As a Senior Software Engineer in AI Data, you'll design and develop scalable systems for AI data platforms, ensuring reliability and software excellence while collaborating closely with diverse teams.

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

The Data Solutions Analyst acts as a key connector between teams, validating data requests, supporting sales calls, and ensuring data accuracy while prioritizing workflows.

Lead and develop data centre projects, ensuring profitability and client satisfaction while managing technical and commercial aspects within Ramboll's Buildings team.

As a Senior Data Architect, you'll design and maintain data architecture, ensure governance practices, mentor teams, and partner with product and engineering teams to drive data-driven results.

The Senior Data Engineer will develop scalable data solutions, build data pipelines, optimize performance for data lakes, and ensure data quality.

The Lead Data Scientist will develop data science products, manage statistical models, lead value measurement initiatives, and collaborate with various stakeholders to drive business insights.

The Senior Director of Sales will lead sales strategies for data center solutions, develop strategic relationships with clients, and drive revenue growth across the EMEA region.

The Data Analyst will support Production Finance with data extraction, transformation, and analysis for EMEA, collaborating with various stakeholders to provide insights and improve data quality.

As a Data Scientist at Octopus Energy Trading, you'll build and maintain forecasting models for electricity demand and renewable generation, contribute to trading insights, and collaborate with multiple teams to enhance forecasting processes.

The Data Scientist will develop and evaluate machine learning models, perform data analysis, and provide insights to improve customer engagement and decision-making.

Lead the design and execution of advanced technical solutions for hyperscale and enterprise clients in data centers and AI environments, ensuring efficient, scalable solutions align with customer needs.

As a Data Manager, you will ensure data governance, support data accessibility, improve workflows, and develop data policies while collaborating with various teams.

The Senior Data Engineer will build data visualization layers, optimize data pipelines, and lead technical decision-making while collaborating across teams.

The Data Engineer will focus on data engineering best practices, data transformation using DBT, managing data pipelines, ensuring data governance, and maintaining data security within a remote team environment.

The Data Management & Quality Manager oversees consumer data management, ensuring data quality and compliance, while leading improvement initiatives across teams.

The Head of Market Data will establish a Market Data Services function, lead strategic operations, manage data governance, and ensure compliance.

Design and build data systems for a web platform and factory operations, ensuring data architecture is clean, monitored, and resilient while optimizing cost and performance.

The Senior Analyst will work with data to support audit processes at Comcast by analyzing and visualizing data, developing tools, and improving automation.

Lead data science projects to develop and evaluate marketing tactics using innovative techniques. Collaborate across teams to influence strategic decisions and drive business impact.

The Data Engineer will develop and monitor BAU data pipelines, enhance processes, build new data pipelines, and contribute to the Data Lake technology in an Agile environment.

Monitor and enhance data pipelines, work with Agile methodology, respond to IT incidents, create documentation, and mentor junior engineers.