Top Data Jobs in London

The Product Lead will drive the strategy and evolution of data and marketing technology, managing product development and cross-functional collaboration to enhance customer experience and operational capabilities.

Lead decision-making on data analytics changes, document processes, make data accessible, and help uphold professional standards within the organization.

The role involves developing machine learning models for fraud detection, analyzing data, implementing feedback loops, and collaborating on data pipelines.

Lead and transform software and data engineering at Capital Group, inspiring a large team to drive strategic growth and innovation across various sectors.

The Development Cost Manager oversees cost management for projects, tracks budgets, manages supplier relationships, and ensures compliance with financial processes, driving cost savings and efficient procurement practices.

The Data Engineer will design and implement data models, develop ETL/ELT pipelines, and create dashboards for insights in mobile applications.

Lead data analytics initiatives to support operational decisions and develop reporting tools that ensure accurate metrics and insights for the organization.

Lead Data Scientist role focusing on business optimization through advanced analytics and machine learning. Responsibilities include mentoring, project delivery, and collaboration with stakeholders to implement data-driven strategies.

The Customer Support Engineer will address customer technical issues, manage escalations, support installations, and advocate for customer needs while fostering relationships and ensuring satisfaction.

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.

The Marketing Data Analyst will analyze marketing data, optimize campaigns, develop dashboards, and provide insights to improve marketing effectiveness and ROI.

The Credit Data Analyst will analyze and interpret lending data to support credit decision-making and portfolio management. Responsibilities include building reports, identifying risks, collaborating with teams, and ensuring compliance with guidelines.

The Data Quality Capabilities SME role involves building enterprise-wide data quality frameworks, tools, and processes, fostering decentralized ownership, providing third-line support, and ensuring consistent application of data quality standards across teams.

The Senior Data Scientist will analyze supply chain data, develop predictive and optimization models, and mentor analysts while collaborating across teams to improve processes.

The role involves enhancing UK data quality, governing data sources, operating a data hub, and supporting business functions with reliable data.

As a Senior Data Engineer, you'll build and maintain data infrastructures, optimize data warehouses, implement streaming architectures, and collaborate with analysts to ensure data quality and reliability.

As a Senior Data Analyst, you will analyze subscription funnels and user behavior, develop LTV models, and collaborate with teams to enhance user engagement and retention strategies.

Lead the Data Interfaces team at Epic Games, guiding data platform development, mentoring engineers, and ensuring system excellence and process improvement.

The Data Engineer will architect and build data platforms, manage datawarehouses, support production systems, and collaborate with portfolio managers and developers to meet business needs.

Lead the development and delivery of reporting and analytics for Operations teams, managing one Senior Analyst and ensuring data integrity and actionable insights.

The Principal Data Scientist will lead the development of AI solutions, optimize models, and drive project timelines while collaborating with teams to meet business goals.

Join the Data Science team at MAGIC AI to enhance ReflectAI® tech. Collaborate on pose estimation, develop algorithms, and optimize AI models for real-time feedback, ensuring effective communication with cross-functional teams.

As a Senior Data Analyst, you will manage the data pipeline by architecting and enhancing workflows, ensuring data quality, and automating processes to support enterprise-level decision making.

As a Data Analyst, you will build and operate the data pipeline, ensuring pipeline quality, automation, and analysis to support customer needs. You will collaborate across teams and use SQL and Python for data handling and automation.

Design, develop, and maintain scalable real-time data pipelines. Collaborate with teams to ensure data infrastructure meets business objectives.