Top Data Jobs in London

Responsible for developing customer-facing APIs, enhancing alerting platforms, optimizing analytical queries, and ensuring operational health of systems in a distributed data environment.

As a Distributed Systems Engineer, you will design and build logging platforms, develop data connectors, ensure compliance of audit logs, optimize data delivery, and maintain operational health through monitoring and collaboration with other teams.

The Data Scientist will develop and deploy scalable ML models utilizing NLP to enhance security solutions, collaborating with cross-functional teams.

The ReEntry Program provides returning professionals a 15-week fellowship, leading to potential permanent roles in various technology sectors at JPMorganChase.

The Principal Product Manager will define the vision and roadmap for the Vehicle and Asset Data Platform, ensuring high-quality data acquisition and leading OEM integration efforts. They will collaborate across teams, communicate product strategies, and drive innovation to impact industries reliant on physical operations.

As a Manager, Business Transformation, you will drive projects across business strategy and change management, enhancing client relationships, and developing expertise in transformation initiatives, including AI integration.

This internship program provides hands-on experience in engineering, focusing on agile practices, collaboration, and real-world project contributions, culminating in potential placement in a graduate program.

The Business Consultant will engage with clients in public sectors, driving technology-enabled change via business analysis, strategy definition, and stakeholder management while mentoring junior staff.

The Strategy Director leads strategic initiatives to drive growth and brand positioning, providing client advisory and ensuring strategic consistency across deliverables.

As a Senior Data Analyst, you'll optimize Treasury operations by curating datasets, building data pipelines, and analyzing trade anomalies, collaborating with teams to reduce costs and risks.

The Data and AI Specialist will guide clients in using the Fusion Platform, develop AI/ML solutions and documentation, and collaborate with teams to implement integrated data solutions.

The Signature Success Sales Executive is responsible for achieving sales targets for Signature Success plans. This includes building relationships, collaborating across teams, and promoting the service offering to ensure customer investments are optimized.

The Strategic Consultant will drive strategic initiatives in Life Technology, engaging with stakeholders, conducting market analysis, and shaping technology strategies for digital and AI advancements.

The Senior Data Engineer designs high-scale data solutions, mentors junior engineers, and improves the data architecture for analytics, focusing on data integration, testing, and real-time pipeline development.

The Associate Strategy Director develops strategies for digital products, leads research to inform client solutions, and fosters client relationships.

Lead the development of automated dashboards and data visualizations, ensuring data accuracy and effective communication of insights. Collaborate with stakeholders to define reporting needs and implement best practices for data visualization.

The Business Intelligence Data Scientist will analyze data to optimize business strategies, lead projects using machine learning, and collaborate with various teams to deliver insights and recommendations.

Lead development of strategic data pipelines and software solutions for Credit Trading. Collaborate with stakeholders to enhance operational stability, promote innovation, and ensure technology meets business needs.

As a Senior Consultant, you will lead digital transformation projects, developing data-driven insights using SQL, driving implementation processes, and optimizing customer business value through AI and process analysis.

The Senior Manager will lead projects, engage with clients, and drive growth in the Value Creation team, focusing on technology and digital consulting for private equity businesses.

As a Staff Data Scientist, you will partner with various teams, leverage AI, mentor junior members, and provide data-driven insights to leadership. Responsibilities include building data products and using causal inference and forecasting to inform strategy.

Lead the transformation of Wise's Real-Time Data Platform by simplifying Kafka and stream processing for teams, enhancing user experience, and optimizing performance and costs.

As a Data Production Engineer, you will support automated trading systems, manage data processes, and collaborate with teams to prepare data for analysis.

Lead complex consulting projects in data architecture design and delivery for clients, providing best practices and building modern data capabilities.

Drive growth of the Data Practice in Insurance, develop strategies, manage client relationships, and lead teams to deliver data solutions.