Top Data Jobs in London

As a Software Engineer on the data platform team, you'll automate data platform operations, write Python code, and collaborate on solutions within a distributed team.

The Senior Data Engineer will enhance backend systems for a social media app by managing databases, optimizing recommendation algorithms, and ensuring accurate recommendations.

As a Lead Product Data Scientist, you'll set the data science direction, lead product experimentation, drive product strategy through metrics, and mentor analysts in a fast-moving environment.

The Data Scientist supports customer use of the Epistemix platform through data integration, modeling, and visualization, improving decision-making and customer satisfaction.

The Data Engineer will develop data infrastructure, build data pipelines, implement workflows, and collaborate with teams to enhance data analytics capabilities.

The Data Engineer will design and maintain scalable data pipelines, optimize data infrastructure, monitor data quality, and enable analytics capabilities, ensuring alignment with business goals.

As a Backend Engineer (Data Engineering), design and build scalable data pipelines and infrastructure for processing security data, ensuring reliability and performance.

Join Zencore as a Senior Data Engineer, leveraging Google Cloud expertise and technology strategies to assist clients with data and application modernization.

As a Curriculum Manager, you will manage content development for the data science and engineering curriculum, collaborating with instructors and teams to enhance learning experiences.

Manage curriculum development for data science and engineering, collaborate with instructors, create content, and drive improvements based on learner feedback.

As a Data Analyst at Thrill Labs, you will analyze datasets to provide insights, develop dashboards, and collaborate with teams to drive product and operational strategies.

N-iX seeks a Data Engineer with MLOps experience to create scalable ML pipelines, deploy models, and contribute to best practices in data engineering and coding.

As a Data Analyst III, you will analyze data, create visualizations, and provide insights using AI tools to support business decisions while collaborating with stakeholders.

As a Senior Software Engineer, you'll maintain critical parts of ClickHouse's Data engineering ecosystem, focusing on JVM-based frameworks and ensuring high-performance integrations for real-time analytics and data workloads.

The Data Analyst role involves developing automated reporting workflows, analyzing media quality, and providing insights to clients. Responsibilities include SQL querying, Excel modeling, and collaboration with teams to ensure data accuracy and deliver insights.

The Data Scientist will analyze marketing data for B2B growth, develop dashboards, and translate data insights into marketing strategies.

The Staff Data Scientist will develop and deploy machine learning models, enhance automation, conduct experimentation, and lead collaborative efforts to drive business value across teams.

The Senior Data Engineer will own and architect the telemetry ecosystem, ensuring data quality and collaborating with product teams to drive insights.

The Staff Data Engineer will own project lifecycles, drive technical decisions, mentor engineers, and implement AI solutions for impactful insights.

Lead and mentor as a Senior Data Scientist, delivering data-driven solutions, embedding AI/ML in products, and enhancing team capacity in a collaborative environment.

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

As a Senior Data Engineer, you will design and maintain data systems, write complex ETL processes, and support machine learning models while collaborating closely with data science and web development teams.

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 Principal Data Engineer designs and builds large-scale backend services and data pipelines, leading technical initiatives and mentoring junior engineers.

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