Top Data Jobs in London

The Applied Data Scientist role involves developing and deploying complex data models, embedding data-driven thinking, and transforming client decision-making processes using advanced data science techniques.

The Applied Data Scientist will develop and implement data science projects, applying machine learning techniques to solve complex business problems. They will work with large datasets and collaborate with the Tesco Personalisation team to deliver insights and solutions.

The role involves owning operational processes for the Data & Applied AI team, ensuring alignment, tracking project delivery, and improving team efficiencies while working closely with the VP.

The role involves developing AI models for influencer marketing, collaborating with product and engineering teams, and improving model performance through experimentation and scalable data processing.

As a Strategic Client Manager, you'll own client accounts, drive retention and new business, ensure client satisfaction, and collaborate with sales teams while optimizing financial governance and compliance.

As a Data Analyst at GoHenry, you will analyze data, present insights, and collaborate with teams to drive product enhancements. Responsibilities include A/B testing, building robust dashboards, and continuous improvement of data practices.

Lead the Hotel Optimization team, design data-driven models, drive revenue opportunities, and automate processes through advanced analytics and programming.

The Senior Director will lead consumer data strategy, integrating data across channels, activating insights, ensuring data privacy, and managing strategic partnerships. They will define a global vision for leveraging consumer data to enhance marketing effectiveness and drive brand growth.

As a Senior Manager in Data Engineering, you will design robust data solutions, manage data pipelines, and ensure data integrity while mentoring a team in best practices.

As a Data Steward, you'll ensure key data assets are documented, governed, and accessible while improving data quality and supporting compliance with privacy regulations.

Design and implement scalable backend and data systems for managing financial operations, tax calculations, and revenue tracking. Collaborate with cross-functional teams to improve platform capabilities and maintain code quality.

The Senior Simulation Data Engineer will manage the end-to-end data pipeline for simulation, ensuring high-quality outputs for ML training and collaborating with research teams to optimize processes.

The Senior Data Analyst will analyze operational performance, provide insights on customer delivery behaviors, and collaborate with cross-functional teams to improve logistics infrastructure and drive impactful decision-making through data.

As a Principal Data Scientist, you will lead complex data science initiatives, mentoring junior colleagues and collaborating with cross-functional teams to enhance business value through data-driven solutions.

As a Software Engineer at Encord, you will build and improve AI data workflows, collaborate with teams, and enhance data quality.

Lead and deliver customer-facing analytics products; modernise and architect a scalable cloud data platform; define and socialise data strategy; build and lead a high-performing data team; align technical data capability with product and commercial needs to create trustworthy, usable insights for care providers.

The Cybersecurity Data Scientist will develop machine learning models, manage datasets, forecast attack vectors, and support incident response while mentoring team members.

Lead and mentor teams for Depop's data platform, enhancing analytics, machine learning, and product experimentation capabilities while ensuring reliable and scalable systems.

The Head of Market Data leads strategy and management for market data licensing and vendor relations, optimizing processes and ensuring compliance.

Lead and mentor data engineering teams to design, build, and optimize scalable ETL/ELT pipelines and data architectures on cloud platforms, ensuring data quality, performance, and alignment with business needs.

Design, build and maintain ETL/ELT pipelines and data models using Python, SQL, Spark and Azure. Ensure data quality, governance and performance, create dashboards, and work with cross-functional teams to deliver scalable data solutions.

The Data Science Manager will lead a team to develop AI-based logistics planning systems, optimize operations, and mentor team members. Responsibilities include integrating data science models and driving best practices.

Lead and manage data science teams in optimizing logistics through ML and operations research, ensuring research translates into production-scale solutions.

Manage a team of data scientists to build ML systems for logistics, overseeing the entire lifecycle, mentoring, and collaborating with technical teams.

The Analytics Engineer will manage data transformation, ensuring clean data and business logic are well-defined for reliable insights, supporting company growth.