Top Data Jobs in London

Lead the Data Science team to develop and deploy ML and AI models. Collaborate with cross-functional teams to maximize model value and define best practices in a fast-paced environment.

As a Data Product Owner, you will lead the development of data products, ensuring data quality, managing timelines, and translating requirements into actionable tasks.

As a Staff Data Scientist, you'll lead efforts in AI and Data Science, build models, define best practices, and guide teams in a fast-paced environment.

The role involves designing, developing, and maintaining scalable distributed systems for data delivery, analytical databases, and data retrieval processes. Responsibilities include optimizing performance, collaborating with teams, and enhancing customer-facing APIs.

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

Lead the development of the Fusion Data Management Platform, advocate for product capabilities, and collaborate across teams to drive strategic initiatives.

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.

As a Fraud Strategic Analytics Lead, you will develop fraud strategies, conduct analytics, and ensure compliance within fraud risk management, while collaborating with various teams for effective operation.

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.

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 Data Scientist will analyze vast datasets to enhance cybersecurity threat intelligence using statistical models and machine learning techniques. Collaborating with other teams, the role involves transforming data into actionable insights for threat detection and neutralization.

Lead product management for data security, defining roadmaps, driving development, and ensuring delivery of innovative capabilities in Cloudflare's SASE platform.

As a Lead Data Scientist, you will manage liquidity models, conduct data analysis, collaborate across teams, and present insights to stakeholders.

As a Product Designer, you'll drive design initiatives creating user journeys, collaborate across functions, and leverage AI for enhanced customer experiences while advocating for inclusive design practices.

Lead and develop a high-performing engineering team, ensuring project delivery, technical expertise, and best practices while collaborating with cross-functional teams.

The Director of Data & Analytics will lead a multidisciplinary team, unify the analytics strategy, and oversee data governance and platform evolution to enhance decision-making and business impact at MacPaw.

The AI Strategy and Transformation Lead will define future work and education in AI, leading departmental transformations, designing implementation strategies, and overseeing AI solution deployment.

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.

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.