Top Data Jobs in London

Design, build and deploy machine learning models and novel telematics-based features to predict claims, fraud and risk KPIs. Collaborate with ML Engineers to productionize and monitor models, present findings to commercial and operational stakeholders, and contribute to team best practices and technology exploration.

Monitor YouTube, podcast charts and social platforms to identify emerging guests and trends. Pull and analyze performance data using analytics tools, build a living knowledge base of creators, surface data-backed guest recommendations, and support pre-production with research and competitor insights to inform booking decisions.

Perform advanced data analysis on large consumer credit datasets using SQL and Python; extract, transform and analyse data; develop innovative analytical approaches; produce clear written and visual outputs to inform regulatory decision-making; collaborate with stakeholders and contribute to an experienced analytics team to deliver insight across consumer finance.

Support development and implementation of data quality methodologies, cleansing solutions, and dashboards. Perform data analysis, define metrics, report improvements, and help stakeholders resolve data quality issues while promoting data governance across the organisation.

Lead and grow a London-based AI & Data engineering team to build and productionise data and agentic AI platforms for trading, risk and quant workflows. Deliver scalable data pipelines, cloud-native infrastructure, vector/knowledge-store based AI solutions, governance, and front-office integrations while partnering with Traders, Quants, Risk, and Compliance to drive measurable business impact.

Lead technical pre-sales engagements for Databricks, demoing Spark and data/AI solutions, building architectures, authoring reference materials, and collaborating with account teams to design and deliver customised proofs-of-concept and workshops.

Transform procurement, cloud and infrastructure data into dashboards, forecasts and insights to support capacity planning, supplier management, cost optimisation and investment decisions. Build ETL pipelines, KPI frameworks and automated reporting, partnering with procurement, finance, engineering and operations and presenting findings to senior stakeholders.

Build and manage multiple datasets, create automated ETL pipelines, integrate datasets, and ensure data quality for QRT's research and trading platform.

As a Data Scientist at QRT, you will work with data to inform trading decisions, prototype data handling code, and solve data related problems.

As the first data hire, you'll establish analytics to enhance product usage understanding and business decisions, while creating reports and models for retention and sales analysis.

The Senior Data Analyst will own analytics for finance, create dashboards, ensure data quality, and communicate insights to support decision-making.

The Senior Data Scientist will build and maintain models for simulating the logistics network, addressing operational queries from finance teams about costs and efficiencies.

Lead architecture for customer data transformation programmes: define current and target state architectures, design customer data foundations (CDP, MDM, single customer view), support CRM integration, drive technology selection and procurement, establish governance, and guide phased implementation with stakeholders across data, product, marketing and engineering.

The role involves building, scaling, and operating a validated data platform for clinical data, ensuring data integrity, and mentoring team members.

Design end-to-end data solutions on Microsoft Fabric, define Data TOM and Data Mesh approaches, implement governance (metadata, lineage, quality) with Purview, support DataOps/platform operations and AI automation, ensure regulatory compliance, translate business needs into scalable data products, and engage client stakeholders onsite in London.

Design and deliver scalable cloud data pipelines, ETL/ELT and data warehousing solutions. Work hands-on in Snowflake, Databricks and cloud platforms, translate business requirements into technical designs, optimise queries, and engage with stakeholders across client projects and internal initiatives.

As a Senior Data Platform Engineer, you will design and operate a scalable data platform, support analytics, mentor junior engineers, and drive technical excellence.

As a Data Analyst, you will analyze data to provide insights, create reports and dashboards, and support decision-making across departments.

Senior quota-carrying role owning the full sales cycle for Data Mastering solutions across UK and Europe. Identify, open and close new enterprise accounts, expand existing client relationships, build strategic partnerships, run sales and promotional activities, and coordinate internally across marketing, product, technology and operations to meet ambitious revenue targets.

The Principal Data Scientist will lead complex projects, drive innovation in AI solutions, mentor teams, and influence data science strategy.

The VP, Head of Policy & Data Operations manages data governance and operations for proxy voting policies, ensuring data integrity and operational excellence while collaborating across teams to optimize processes and manage risks.

Lead data strategy for key clients, design data-led audience solutions, champion Open Intelligence and Infosum, support AI tool development, and line-manage 1–2 Data Strategy Managers while collaborating with media planning and activation teams to drive client outcomes.

As a Lead Data Engineer, you will design and develop software for data processing, lead a team, ensure quality, and manage technical proposals.

Lead cross-functional initiatives to enhance KOL data products, translating customer needs into development initiatives and ensuring data quality and usability.

The Principal Architect will lead the design and strategy of next-generation data center architecture, focusing on software-defined infrastructure, workload management, and governance, with extensive experience required in various technologies.