Top Data Jobs in London

The Technical Program Manager will lead cross-functional programs to enhance product delivery at Vantage, ensuring clear scopes, readiness checks, and effective risk management throughout the product lifecycle.

The Principal Mechanical Engineer will oversee mechanical systems design for data centers, providing technical leadership, managing product development, and ensuring project quality while engaging with stakeholders.

The Senior Solutions Engineer will support technical solutions, engage in RFP processes, design proposals, and engineer cost-effective solutions for customers' IT environments.

Lead growth and delivery of Cloud ERP (primarily SAP S/4HANA Public Cloud) engagements. Act as trusted advisor to C‑suite, originate sales, manage programme delivery, financials, multi‑vendor teams, and coach talent. Support propositions across Dynamics 365, NetSuite and Workday Financials and integrate native AI capabilities.

Lead and grow S&W's Cloud ERP/SaaS Business Applications practice with a core focus on Dynamics 365 F&O. Serve as trusted advisor to C‑suite clients, originate and shape sales opportunities, manage end‑to‑end delivery and engagement financials, lead UK and offshore teams, and coach/mentor staff while expanding capabilities across a broader Cloud ERP portfolio.

The Senior Implementation Consultant (Data) will manage implementation projects for pension solutions, liaise with clients, analyze data, support junior team members, and contribute to technical development and project management.

As a Data Scientist at Wayve, you will generate actionable insights using causal methods and statistical frameworks to support AV product teams, focusing on complex data analysis and experimental techniques.

Lead the design and delivery of the Data Transfer Hub, managing large-scale data transfer pipelines and working directly with partners like Uber and Nissan.

As a Data Scientist, you will generate insights to prioritize efforts and identify opportunities, focusing on experimental and causal inference methodologies.

Lead the development of an internal web application for computer vision model exploration and data labeling. Collaborate with stakeholders, integrate frontend with existing systems, and ensure maintainable code practices.

The Senior Data Engineer will develop, maintain, and support data pipelines and artefacts for SCOR's data ecosystem, ensuring high-quality data management and promoting best practices across teams.

As a Data Scientist on the Growth Team, you will develop predictive models, analyze complex datasets, and collaborate with stakeholders to enhance customer acquisition and retention at Capital on Tap.

The Data Analyst will ensure high-quality financial datasets by defining acceptance criteria, probing data quality, and collaborating with various teams. They will act as a subject-matter expert on data products and maintain a catalogue of datasets.

As a Data Engineer, you'll develop and maintain data pipelines, integrate complex datasets, and ensure data quality for quantitative trading strategies.

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.

As an AI Engineer at Wavestone, you'll lead AI-driven transformation projects, develop production-grade AI solutions, and mentor team members while shaping innovative AI strategies.

The Data Engineer role involves modeling data as an Analytics Engineer, improving data infrastructure, managing data ingestion, and delivering training.

The Solutions Consultant will implement data observability solutions, manage B2B software projects, and collaborate with customers for successful data architecture and deployment.

Design, build, and operate resilient ETL/ELT pipelines ingesting data from Azure SQL, SaaS, and event streams into BigQuery. Implement declarative pipelines (DLT), support low-latency ML feature pipelines, ensure operational health, monitoring, and incident response. Collaborate with analytics and AI/ML teams, mentor junior engineers, optimise platform performance, and influence platform architecture and tooling decisions.

The Senior Data Product Manager will lead data and insights product development, managing a team to enhance decision-making across commercial, credit, finance, and operations while fostering AI capabilities.

Design, build, and optimize data pipelines. Ensure data integrity, performance, and maintainability while collaborating with engineering teams. Act as a point of escalation for data issues.

Design and deliver production-ready AI, NLP, and generative-AI solutions (including LLMs and RAG) for knowledge discovery. Build retrieval, ranking, recommendation, and decision-support systems, integrate scientific metadata and ontologies, establish evaluation and monitoring, write production Python code, and provide technical leadership and mentoring.

Generate ecommerce insights across the customer journey through cohort analysis, segmentation, LTV modelling, funnel and A/B test analysis. Track core ecommerce metrics, evaluate feature and pricing performance, build Looker dashboards, and collaborate with product, commercial and data engineering teams to translate analytical findings into actionable recommendations for stakeholders.

Lead a commercial analytics team to deliver data-driven solutions that optimise revenue, margin, pricing and supply. Partner with trading, product, finance and engineering to build reports, visualisations (Looker), and data products, set quality standards, and guide strategic and tactical decision-making.

The Associate Data Analyst collaborates to create data products and visuals, ensures data accuracy, and handles ad-hoc requests while contributing to team projects.