Top Data Jobs in London

Operate and monitor live sports trading systems, execute trades to meet performance targets, identify market inefficiencies, provide real-time feedback to developers and quants, troubleshoot issues, and help optimise the trading pipeline across shifts.

Lead and develop a Data Science team to deliver scalable ML/AI solutions for an online Personalisation programme, ensuring impactful customer experiences.

As a Data Entry Specialist at Iron Mountain, you will be part of a team that focuses on records management, digital transformation, and customer service. You will help in maintaining data accuracy and contribute to innovative solutions.

The Data Engineer will build data pipelines for materials science, ensuring data quality and collaborating with ML researchers while managing large datasets.

As a Junior Data Engineer, you will build data processing pipelines, support decision-making, visualize finance indicators, and monitor improvements.

The Internal Audit Manager enhances audit effectiveness via advanced analytics, delivers data insights on risk, and manages audit-related data projects.

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

Lead iwoca's data science function, developing probabilistic models for lending decisions and embedding AI across the business, while managing team growth and strategic direction.

As a Principal Applied Data Scientist, lead the development of scalable AI solutions, focusing on NLP and LLMs, while collaborating with teams and ensuring production standards.

As a Senior Credit Risk Data Scientist, you'll lead credit risk modeling, develop data-driven lending strategies, and ensure statistical rigor in model performance while writing production-grade code for underwriting systems.

The Staff Backend Engineer will lead the technical vision for Depop's data platform, focusing on data ingestion, scalability, observability, and architecting data solutions while mentoring team members.

Manage high-impact marketing effectiveness programmes, oversee project governance, mentor teams, and drive strategic client insights, focusing on business growth.

Lead the delivery of data intelligence and analytics for AJ Bell, manage a team, develop data strategies, and ensure compliance while enhancing data literacy.

The Data Scientist will collaborate with Research and Trading desks to manage index data, build data pipelines, and innovate data extraction methods.

Design and develop scalable reference-data services, automate lifecycle events, build/internal and external reporting (real-time and batch), collaborate with research and execution teams, maintain CI/CD and automated testing, and integrate Python and C# components to support trading and research workflows.

Develop scalable cloud-native platforms for real-time tick data. Collaborate with researchers, architect systems, and build distributed data architectures.

Interns will design, build, and manage data solutions supporting trading operations, collaborating closely with Traders, Researchers, and Engineers in a high-performance environment.

The Senior Associate, Operations Static Data supports operational processes, monitors system performance, liaises with external partners, and enhances client services, ensuring compliance and facilitating policy implementation.

The Data Product Manager owns the product plan and strategy, drives customer success, manages complex datasets, and collaborates with teams to improve data quality and product execution.

The Data Lead will manage product strategy and data operations for the OpenData Europe team, driving customer success and innovation in data analytics.

The Enterprise Data & Analytics Steward implements data governance standards, ensuring data quality and compliance while supporting data stewards and stakeholders across the firm.

Design, build, and maintain production data pipelines and warehouse/lakehouse architecture. Implement version-controlled transformations (dbt), orchestration, IaC, monitoring, and data quality. Enable secure, auditable data access for analysts and product teams, and define long-term platform strategy while partnering across engineering, analytics, and product.

Lead strategy, roadmap and delivery for internal platform products (data stores, APIs, shared capabilities) that support genomic data processing and access. Balance reliability, scalability, technical debt and platform evolution while partnering with engineering, architecture and stakeholders in a regulated healthcare environment. Drive migrations from legacy systems, measure platform health, improve developer experience, and mentor other product managers.

Lead data migration strategies and implementation across hybrid cloud environments, design data pipelines, and optimize scalable systems while collaborating on AI projects.

Join the Data Strategy team to design, build, and maintain cloud-based ETL/ELT pipelines and data services using Python, SQL, Spark, and Databricks. Integrate heterogeneous data sources, prepare curated datasets, support production operations, and contribute to migration and platform modernization efforts for analytics and downstream consumers.