Top Data Jobs in London

Lead pre-sales activities at Datatonic, shaping data and AI solutions, architecting transformations, and advising clients across various industries. Build trust with C-suite, manage RFPs, and represent the company in strategic engagements.

As a Principal Engineer, you'll lead the design and development of high-performance data systems, mentor engineers, tackle complex challenges, and ensure operational resilience in a dynamic environment.

Lead the Non-Air Redemption Data Team to design, build and maintain scalable data products and pipelines. Provide technical leadership, ensure data quality and governance, collaborate with stakeholders, adopt modern tooling, and support delivery of the Redemption Data Product.

Lead development and optimisation of telematics-driven pricing models. Use telematics data to influence pricing, manage risk spread, reduce customer prices, collaborate with stakeholders, document governance, and manage a small team of analysts while exploring new modelling techniques and data sources.

Support senior architects to design and document scalable, secure data architectures. Translate business requirements into data models, define data flows and integration patterns, support Agile delivery teams, ensure governance and security considerations, and contribute to data engineering and automation while developing architectural skills.

Investigate and remediate data quality issues through root-cause analysis, define data quality rules and controls, collaborate with data engineers and business stakeholders, support data governance (dictionaries, lineage, CDEs), lead working groups, and use SQL, Snowflake and Power BI to monitor and report on data quality improvements.

The Senior Data Scientist will focus on quantitative analysis, guide A/B tests, and collaborate with teams to enhance user engagement and product profitability.

Lead design and delivery of the Group data governance operating model, policies and assurance. Own AI/model, privacy, access and vendor controls, build Data Owners/Champions community, lead a small governance team, report KPIs and embed governance across technology and business teams.

The Senior Data Analyst delivers analytical insights, supports cloud transformation, mentors junior analysts, and engages stakeholders for strategic data initiatives.

As a Senior Data Engineer, you'll design and maintain data pipelines, transform raw data into insights, and support multiple teams with reliable data analytics.

As a Senior Data Science Analyst, you'll wrangle, analyze datasets for investment strategies, leveraging data science expertise and collaborating with investment teams.

As a Senior Data Scientist, you will develop and deploy machine learning models, collaborate with stakeholders, and mentor team members, focusing on delivering impactful AI solutions within the insurance sector.

Lead a high-calibre team in advancing AI research, focusing on transformer models and collaboration with product and engineering teams. Oversee talent development and establish best practices in machine learning methodologies for retail solutions.

Lead innovative data solutions across various sectors by engaging stakeholders, delivering technical projects, and developing team capabilities while promoting data-driven insights.

Seeking a Data Consultant for innovative data-driven solutions across sectors like rail and energy, focusing on stakeholder engagement and technical project delivery.

The Data Integrity Specialist will maintain stock accuracy, investigate discrepancies, and improve data quality within logistics and manufacturing environments.

Lead AI research and data science projects at DTCC, guiding strategy, team management, and collaboration with stakeholders to implement innovative AI solutions.

The Data Manager will develop a data strategy, oversee data architectures, implement governance policies, and deliver solutions while promoting data literacy and compliance.

As a Data Scientist, you will drive insights for product growth, contribute to team metrics, and conduct data-driven experiments to influence business decisions.

The Data Solution Architect will lead the design and implementation of data solutions, advocate for data-centric practices, ensure data privacy, and collaborate across teams to improve data ecosystems.

Design, build, and optimize cloud-based data platform components: ingest and transform varied datasets, create metadata-driven pipelines and data APIs, support AI/ML infrastructure, implement monitoring and metrics, and improve data processes to enable analytics and operational systems.

Build and own end-to-end data pipelines and production code to turn raw data into insights. Ensure reliability through testing, observability, and data quality checks. Collaborate with product, data science, and engineering to ship features and apply AI where valuable.

Participate in a 3-year rotational program focusing on data science and engineering, gaining hands-on experience in analytics, modeling, and visualization.

The Principal Data Scientist will lead the development of AI solutions, optimize models, and drive project timelines while collaborating with teams to meet business goals.

The Data Engineer will analyze, clean, and manage various datasets to assist traders at Jane Street, automating ETL processes and ensuring data quality.