Top Data Jobs in London

The Staff/Lead Fullstack Engineer will enhance the Mimica Webapp by architecting scalable UI components, managing large datasets, and optimizing performance while collaborating with cross-functional teams.

The Staff Engineer will define architecture, lead data pipeline design, ensure platform reliability, and mentor engineers, driving data initiatives and technical standards.

As an Engineering Manager, lead a data engineering team to enhance Yuno's data platform, ensuring reliable processing of payment events, guiding technical decisions and cultivating a strong team culture.

Lead and manage the Data Engineering team, overseeing data platform architecture, data models, and ensuring data governance for informed decision-making.

As the Lead Data Scientist, you will provide technical leadership, oversee project delivery, mentor teams, engage with clients, and contribute to strategic initiatives in retail and consumer AI solutions.

Provide specialist legal advice across EMEA on data privacy (GDPR), digital, AI and technology matters. Advise on vendor/cloud contracts, outsourcing, cybersecurity incidents, regulatory implementation, and support IT and business transformation projects while managing external counsel and aligning global practices with local rules.

As Head of Data, you'll lead the data team, define data strategy, ensure platform scalability, and oversee innovation and governance for data processes.

Own measurement and quantitative analysis for severe actor- and network-level harms. Develop AI-first prevalence measurement methods, build production safety metrics and dashboards, optimize LLM prompts for measurement, run analyses to inform detection/enforcement, support cross-team policy and reporting, and develop automation to scale measurement.

Collect, clean, and transform large datasets; build and maintain data models and reports (using Snowflake and BI tools); perform statistical and machine-learning analyses; define KPIs; ensure data governance and accuracy; present insights to stakeholders; collaborate with data engineers and follow software development best practices.

The Tech Lead will mentor the team, translate research needs into solutions, design cloud systems, and implement DevOps practices.

Design, develop, and maintain data pipelines using Kafka; build infrastructure with Terraform; troubleshoot data engineering issues and collaborate with teams.

The Senior Category Sourcing Manager leads sourcing initiatives, manages contracts across various categories, coaches a team, and implements strategies for cost savings and efficiency.

The Lead Data Scientist at Zego will lead the development of pricing models, manage a team, and establish data science standards while focusing on collaborative projects and operational excellence.

As a Human Data Operations Strategist, you'll manage data annotation projects, optimize data quality, engage clients, train annotators, and drive product innovation within AI workflows.

The kdb+ Developer will collaborate with business users, develop and maintain code, analyse data, and mentor junior developers in a supportive team. Responsibilities include ensuring project delivery and effective communication with stakeholders.

As a Senior kdb+ Developer, you will lead technical delivery, design scalable kdb+ architectures, mentor junior developers, and drive innovation in data solutions for financial institutions.

Lead the data strategy at Monzo, focusing on user engagement and evolving data practices. Collaborate with cross-functional teams and mentor data scientists.

Lead the Risk Platform Operations team to ensure accurate and timely delivery of portfolio risk analytics, mentor junior members, and enhance data quality controls.

As a Data Scientist, you'll refine and transform complex financial data, collaborate with researchers, and analyze third-party datasets to enhance our data platform.

The Industry Data Analyst analyzes industry data, develops dashboards, and provides insights for strategic decisions, collaborating with multiple stakeholders.

As a Data Scientist, you will analyze marketing effectiveness, prepare data, build predictive models, and develop insights for clients across various industries.

As a Data Engineer, you'll build and optimize data platforms, create data pipelines, and implement ML infrastructure to support business insights and data service needs.

The role involves building and implementing machine learning models, collaborating with cross-functional teams to solve complex problems in data science.

This role involves developing tick data pipelines in Python, serving data to backtesting engines, and ensuring data quality checks are effective.

Join Ramboll's Data Centre Projects Team, focusing on environmental permitting, impact assessments, and project management for sustainable data centre solutions.