Top Data Jobs in London

As a Data Scientist, influence commercial outcomes through data analysis, drive insights for growth, and support product initiatives. Collaborate with stakeholders to guide strategic decisions and improve Trainline's offerings.

Design, build, and optimize AWS data platforms, ensuring secure data solutions while collaborating with stakeholders.

The AWS Data Platform Engineer will design, implement, and optimize AWS cloud infrastructure, manage data services, and ensure secure data operations.

Design, build, and maintain machine learning systems to optimize restaurant operations. Collaborate with teams to ensure practical ML applications drive business results.

As the Lead Data Scientist, you will provide technical leadership, oversee project delivery, mentor teams, engage with clients, and contribute to strategic initiatives in retail and consumer AI solutions.

As a Data Engineer at Wheely, you'll enhance data integration pipelines, support business units with data needs, and enforce code quality in a collaborative environment.

The Data Scientist will optimize customer journeys, develop strategies from customer data, and analyze metrics to enhance loan decisions. Responsibilities also include running experiments and mentoring analysts.

Design, develop, and maintain data pipelines using Kafka; build infrastructure with Terraform; troubleshoot data engineering issues and collaborate with teams.

Lead data-driven innovation at Sotheby's, overseeing data initiatives across multiple functions. Develop strategies and frameworks for analytics, ensuring ethical data governance and leveraging data for business insights.

Seeking a Senior Data Modeller to design and maintain data models, collaborate with teams for effective data management, and mentor junior members.

The Data Engineer will support ETL/ELT pipeline development, work with Azure data services, ensure data quality, and collaborate with stakeholders to improve data solutions.

As a Senior Product Data Scientist, you will lead analytics and experimentation, influence product strategy, and collaborate with cross-functional teams to drive data-driven decisions.

As the Lead Finance Data Analyst, you will analyze finance data, collaborate with analytics teams, and ensure data quality and governance in finance processes.

The Lead Underwriting Data Analyst will analyze underwriting data, translate business requirements to technical needs, collaborate with data teams, and ensure data quality and governance for insurance decisions.

Interns will assist in designing and maintaining data pipelines and analytics systems while gaining insights on macro hedge fund operations. Responsibilities include data ingestion, transformation, and automation using data and AI tools.

The Senior Research Data Engineer will architect data pipelines, manage data transformation, and collaborate with product and analytics teams to enhance health products.

The Staff/Lead Fullstack Engineer will enhance the Mimica Webapp by architecting scalable UI components, managing large datasets, and optimizing performance while collaborating with cross-functional teams.

The Data Engineer will design and maintain ETL pipelines, optimize data models, develop exporters, and ensure reliable data services for the Lambda app in a fast-paced startup environment.

The Senior Data Engineer will focus on ingesting and curating satellite imagery and geospatial data, building data pipelines, and mentoring junior engineers, while ensuring performance and scalability.

The Senior Data Engineer will architect scalable pipelines on AWS, analyze blockchain data, and collaborate with leadership on data-driven decisions.

Lead the product development lifecycle for Smart NIC and ToR switches. Drive product strategy, market engagement, and collaboration with teams to ensure successful product delivery and business outcomes.

As a Lead Data Scientist, you will design and deliver AI/ML solutions for Workday platforms, mentor your team, and lead analytics strategy.

The Lead Data Engineer will design and build scalable data systems, mentor engineers, and ensure efficient data architecture and infrastructure across Zego's data engineering function.

Develop and improve machine learning and statistical models for sports betting products, collaborating with teams to enhance performance and deploy models.

As a Data Engineer, you will design, build, and maintain data pipelines and infrastructure to support data-driven decision-making in a collaborative environment.