Top Data Jobs in London

Lead a team of data platform engineers, manage delivery and development of data solutions, and oversee the data infrastructure enhancements.

The Data Platform Engineer will scale and modernize the data lakehouse, build data products, write ETL processes, and support analytics across the business.

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 job involves supporting computational drug discovery for antibodies, evaluating candidates, integrating insights, and collaborating with teams.

The CRM Data & Audience Lead designs audience strategies, optimizes segmentation logic, partners with Data Science, translates data into insights, and enhances audience frameworks for personalized marketing efforts.

Lead global trade data strategy and roadmap for TWCS, manage data managers, drive data governance, quality, architecture and analytics, partner with engineering and business stakeholders, deliver data products and reporting, and align data initiatives to business OKRs and regulatory requirements.

The Software Engineer will develop betting solutions, create mathematical models, automate operations, and collaborate closely with data scientists.

Develop advanced automation and visual data processing workflows using AI tools, focusing on computer vision and data streaming techniques while ensuring system reliability and scalability.

The Product Designer will manage design challenges within Rightmove's Data Services, translating complex data into user-friendly experiences and collaborating with cross-functional teams.

As a Data Analyst, you will ensure data integrity, improve data pipelines, communicate with stakeholders, and lead root cause analyses while maintaining quality across reference data products.

Embed in the Pitstop squad to build monitoring and analytics for launch readiness, handover speed/accuracy, retention, and cost-per-parcel. Investigate performance, quantify initiative impact, diagnose churn and LiveOps ticket drivers, maintain dbt models and pipelines, and deliver KPIs and dashboards to guide squad decisions.

Lead the development of data products by analyzing customer needs, improving data structures, and creating actionable insights through collaboration with cross-functional teams.

Design, build, and maintain Power BI dashboards and automated workflows using Microsoft Power Platform and ServiceNow. Write and optimize SQL for Snowflake and other databases, perform data validation and lineage, support Workday/ServiceNow integrations, provide go-live support and troubleshooting, and uphold data management and governance practices across corporate and client-facing teams.

Provide EU-focused data privacy and digital regulatory legal counsel across business segments. Lead privacy program development, support HR, Marketing, M&A, and transactional work, manage incident response, regulatory engagement, DPIAs, cross-border data transfers, and advise on EU Data Act, GDPR, data governance, and product compliance.

Lead data strategy for Boots, turning data into actionable audience and bidding strategies, measurement and testing frameworks. Own data partnerships, privacy-first governance, and strategic project delivery. Collaborate with MarTech, CRM and activation teams, guide agentic AI personas, and deliver measurable business impact through audience segmentation, testing and integrated data solutions.

The role involves collaborating with researchers and traders to design datasets, developing data pipelines, and optimizing data extraction processes.

Design and deliver enterprise-level data solutions using Azure tools and SQL analytics, focusing on data insights and customer satisfaction.

The Data Onboarding Technician will engage with customers and implementation teams to drive data conversion tasks and ensure smooth onboarding to ezyVet's software. Responsibilities include monitoring conversions, prioritizing tasks, and maintaining project tools like Jira.

As a Data Architect, you will define data architectures for client programs, driving data and AI transformations, and crafting secure and scalable data solutions across various technologies.

The Product Data Science Manager leads a team to deliver custom data insights, ensuring analytical excellence and client impact while collaborating with various stakeholders.

Manage planning, coordination and execution of data science and AI initiatives. Maintain program plans, dashboards (Domo), perform SQL-based analysis, track risks, align technical dependencies, and enable adoption through reporting, AI Agent context and stakeholder communication.

Seeking experienced Solution Architects for UK Defence accounts to define and shape architectural solutions in digital, data, and technology services, focusing on government Defence departments.

Senior individual-contributor analytics role delivering product, commercial, and customer insights. Owns high-impact analyses, experimentation, forecasting, segmentation, and churn/risk models. Writes SQL/Python, partners with Data Engineering, Product, and Commercial teams, mentors junior analysts, automates reporting, and communicates actionable findings to influence product and commercial decisions.

Lead and define the data science and AI strategy, deliver production-grade ML and generative AI solutions, operationalise models with MLOps and governance, build and mentor a high-performing team, and influence stakeholders to drive measurable business impact.