Top Data Jobs in London

Data Scientist collaborates with customer experience teams to analyze data, create dashboards, optimize service, and identify improvement opportunities in customer interactions.

The Python Data Engineer will develop AI applications, manage data processing, mentor team members, and ensure code quality while collaborating with different teams.

Lead innovation in experimentation and causal inference, mentoring data scientists, driving research, and collaborating on data-driven decision-making.

Join our data platform team as a Senior Data Engineer, focusing on back-end and data engineering responsibilities across various squads.

Join the Business Data Analytics team to prepare and transform business-related data, ensuring accurate datasets for reporting and strategic insights.

Join Wiz's Data Protection team to enhance their privacy, data protection and AI compliance program, focusing on risk management and governance.

The Implementation Consultant leads technical project delivery, collaborates with cross-functional teams, translates requirements, and improves processes in energy data solutions.

The Software Engineer will provide technical support to customers, collaborate with engineering teams, and drive customer success initiatives while leveraging Python and SQL expertise.

As a Senior Data Engineer, you will design and scale data systems, build ETL pipelines, ensure data quality, and collaborate with product, growth, and finance teams to support decision-making and analytics.

The Data Science Manager will lead a team of data scientists to develop machine learning models for credit-related solutions and promote collaborative, data-driven insights across Kuda.

The Senior Product Manager will define and execute the strategic roadmap for real-time data capabilities, enhancing customer cloud management through insights and response tools.

The Data Protection Analyst nurtures client relationships, assesses data risk, conducts business reviews, and ensures client satisfaction through proactive engagement and problem-solving.

As a Senior Data Engineer, you will design and build core infrastructure for a data platform, optimize systems, mentor teams, and tackle complex technical challenges.

As a Senior Data Scientist, you will lead technical initiatives in AI-driven solutions, mentor junior team members, and collaborate with simulation engineers to solve complex engineering challenges.

The Data Analyst will analyze and interpret marketing data, build analytical models, and create reports to support decision-making and optimize marketing performance across campaigns and channels.

Design and deploy data science solutions using machine learning techniques to help defence clients solve high-impact problems. Work collaboratively and communicate technical concepts effectively.

As a Data Scientist, you will set up and analyze tests, build statistical models, and provide data-driven insights to improve operations efficiency and effectiveness.

As a Data Engineer, you will design, build, and maintain data infrastructure, automating ETL pipelines, and ensuring data compliance while collaborating with stakeholders.

The Senior Data Scientist will enhance modeling capabilities, deliver insights in DeFi, collaborate with protocol teams, and analyze market actors' behaviors.

The Head of Market Data Insights will lead data analytics teams, driving data-driven decision-making across multiple regions, while developing insights that inform market performance and strategy.

As Tempo's first data engineer, you'll design and build data infrastructure, develop ETL pipelines, and optimize data systems for blockchain analytics.

The Data Solution Architect will lead multiple teams to design and deliver data solutions, manage employee performance, and contribute to technical design and pre-sales processes.

As a Data Engineer, you'll design and maintain ETL pipelines, write TypeScript code, and collaborate with stakeholders to ensure data quality and performance.

Build and optimize data pipelines and models, monitor cloud data warehouses, and maintain documentation while collaborating with teams.

The Senior Machine Learning Engineer will design and optimize data pipelines for autonomous driving research, ensuring high-quality datasets are used for model training and evaluation.