Top Data Jobs in London

The Data & Insight Engineer builds AI-driven analytics environments, automating insights, managing data pipelines, and designing semantic data models for reliable business analytics.

As a Data Scientist, you will develop ML models for predicting claims and risk, deploy solutions, monitor performance, and present insights.

The Inside Sales Associate manages relationships with hotel clients, generates new business, educates clients on products, and tracks activities in the CRM.

Lead the engineering strategy for data integration in a healthtech startup, focusing on building a multi-modal data platform and leading a strong engineering team to deliver high-quality data products.

As Lead Data Engineer, you'll architect data systems for an AI product, building scalable pipelines and ML infrastructure while establishing engineering standards and mentoring future team members.

The Data Infrastructure Engineer will own the data lifecycle, architect high-reliability pipelines, and enhance infrastructure for AI agents.

The IT Data Manager will develop and implement a data management framework, oversee cloud migration, ensure compliance, and engage stakeholders to modernize data practices.

The Business Development Executive is responsible for identifying, engaging, and securing new clients in the financial services sector, focusing on trade surveillance solutions.

Lead analytics as the company's first data hire: design and build the data warehouse and analytics stack, create core dashboards, uncover insights on AI search behavior, build predictive customer and growth models, and enable self-serve analytics while ensuring data quality and governance.

Lead and grow a team to manage data infrastructure for AI safeguards, ensuring compliance with data regulations like HIPAA and building privacy-safe data interfaces for ML workflows.

The Product Manager for Data will lead the rollout of data products for clients, overseeing requirements, development support, adoption, and communication while contributing to a global data model.

The GCP Data Engineer will design and develop data processing modules and reporting, optimize data pipelines, ensure data quality, and support data governance.

The role involves overseeing data operations and reporting, designing scalable solutions, and setting best practices for data-driven marketing insights.

Lead the development of machine learning products, including designing systems, managing a team, and driving innovation in a fast-paced startup environment.

The Data Privacy Product Owner is responsible for establishing and managing the Data Privacy Platform, defining operating models, tooling, and standards, ensuring integration across data platforms, and leading product vision and roadmap for data privacy capabilities.

Lead product-focused analytics and experimentation to uncover growth opportunities, define KPIs, analyze user behavior and retention, quantify feature impact, and communicate data-driven recommendations to cross-functional stakeholders.

Lead and scale Preply's data products function: define vision, build ML/LLM and data platform products, drive experimentation, measure business impact, hire and coach teams, and partner across Product, Engineering, and Data to deliver scalable, product-first data capabilities.

Partner with Payments Operations to analyze and optimize pay-ins, payouts, and fraud. Build statistical and ML models, design experiments, monitor transaction health, improve risk rules, and deliver insights to shape product and monetization strategy.

Lead and coordinate design teams for data centre projects across Europe, ensuring technical excellence and strong client relationships. Manage project phases from design to construction documentation.

Design, implement, and improve Spark-based data pipelines for Veeva Link's data platform. Own features end-to-end, collaborate with data science to operate ML models, and enhance observability, performance, and precision.

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.

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.

As a Data Governance Specialist, you will enhance data governance processes, coach Data Owners, communicate with stakeholders, and support regulatory compliance in a complex environment.

The Tech Transformation Programme Manager will lead and deliver technology initiatives and oversee transformation outcomes supporting long-term organizational goals.

Dragonfly is seeking Software Engineers for various portfolio companies, focusing on crypto technologies. Engineers of all experience levels are needed across multiple stacks.