Top Data Jobs in London

Build and maintain market, economic, research, news, and internal data pipelines for AI and quantitative models. Design scalable data architectures, implement data quality controls, manage metadata and lineage, create APIs and model-ready datasets, and optimize pipeline performance. Collaborate with data scientists and analysts while ensuring data security, privacy, permissions, and reliable integration across tools and models.

Serve as a trusted advisor for complex consulting engagements in Data Management. Lead solution scoping, architecture, feasibility assessment, design assurance, and implementation alignment with SimCorp standards. Own global consulting practice artifacts, improve methodologies, document best practices, enable consultants, and mentor aspiring architects. Collaborate with Sales, Product Management, Value Streams, project teams, and senior clients to resolve domain challenges and influence strategic architecture decisions.

Manage and improve client data quality for a 12-month Client Discovery project. Responsibilities include validating companies, cleansing and enriching datasets, maintaining corporate hierarchies, aligning data across systems, monitoring data integrity, updating senior stakeholders, and supporting analysts with reporting and bespoke analysis.

Design, implement, test, secure, and maintain backend services for commercial journeys. Collaborate with product and cross-functional engineering teams, embed testing and security standards, contribute to CI/CD pipelines, and participate in engineering communities and agile delivery practices.

Lead MEP delivery for a large data centre project in North London as the Owner's Representative. Manage mechanical, electrical and public health systems from construction to commissioning, oversee subcontractors, ensure integration with commissioning and project controls, control budgets and risks, enforce safety and quality, and support final testing and handover.

Lead strategic commercial engagement and hands-on procurement for Technology and Data vendors. Manage renewals, negotiations, sourcing, vendor consolidation, and risk related to vendor concentration. Support category strategy, pricing analysis, benchmarking, and procurement capability building. Partner with Technology, Finance, Legal and business stakeholders to improve vendor visibility, governance, and enterprise leverage while embedding procurement into strategic decisions.

Develop stored procedures or notebooks to build 230 additional data items into DCoE tables/views. Create an extensible, config-driven process to add fields with minimal re-engineering. Produce self-documenting, well-commented code and collaborate with the DCoE team on delivery; DCoE handles business analysis, design sign-offs, data modeling, and testing.

No job responsibilities provided; the job advert content is missing. Title indicates a senior Data & AI leadership role at Grant Thornton, likely responsible for strategy, delivery oversight, and stakeholder engagement.

Wayvia is building a talent pipeline for engineering roles focusing on backend systems, data pipelines, and product engineering. They seek curious and collaborative engineers to connect with and solve future challenges.

Lead data strategy and engineering for AD/ADAS: collect, sample, label, and curate large-scale vehicle and simulator data; build evaluation frameworks and scalable pipelines; analyze data to improve perception and planning models; collaborate across teams and mentor colleagues to deploy production-ready ML solutions.

Build, maintain, and troubleshoot scalable AWS data pipelines using Python, PySpark, Spark, and Airflow. Perform root-cause analysis of pipeline and data-quality issues, apply dimensional modeling and slowly changing dimensions, and deliver governed data assets. Provision infrastructure with Terraform, containerize solutions with Docker, and manage GitLab CI/CD deployments. Work with AWS security, encryption, IAM, monitoring, and analytics services in a regulated government environment.

As an Innovative Project Planner, you will oversee project plans, ensuring efficient delivery through effective resource management, stakeholder communication, and the development of scalable solutions in complex construction projects.

The Innovative Planning Manager will enhance project delivery, manage project plans, create scalable solutions, report to stakeholders, and develop teams in complex construction environments.

As a Project Controls Manager, you'll enhance project delivery through effective cost, schedule, and risk control, while leading team development and creating scalable solutions.

Join a Data & AI team building production LLM-powered agents for underwriting. Own end-to-end data science for production systems: prototype with stakeholders, design evaluation frameworks (offline and online), build analytical pipelines, measure agent quality, and work with engineers to productionise monitoring, CI/CD, and reliability.

The Lead Data Engineer will develop and maintain a data platform, create data pipelines, ensure infrastructure support, and provide governance for stakeholders' data needs.

10-week on-site Data Science internship in London supporting data discovery, enrichment and analysis for quantitative research. Tasks include data blending, statistical analysis, exploratory data analysis, visualization, building tooling, and collaborating with data scientists to scale and automate data processes.

The Director of Colleague Data Science & Analytics will lead the global HR analytics function, driving innovative solutions to support decision-making and enhance the colleague experience.

The Data Solution Architect will design and implement cloud-based data and AI platforms, ensuring scalable data solutions and effective communication with clients.

Design and deliver statistical, probabilistic and simulation models to support decision-making. Translate business questions into deployable analytical solutions, quantify uncertainty, validate and monitor models, and partner with engineering, product and business teams to productionise models and define operational requirements.

The Senior Data Engineer will design and build data pipelines on GCP, ensuring high data quality and reliability for analytics and ML products. Responsibilities include mastering ETL processes, managing workflows with Airflow, and collaborating closely with ML engineers.

Define and lead LLM discovery and optimisation strategy across SEO and AI-driven platforms. Monitor generative AI/search developments, translate trends to strategy, run measurement and experimentation linking visibility to business outcomes, and partner cross-functionally to embed AI discovery insights. Specify technical, content and authority signals for generative responses and establish governance, best practices and capability-building.

Lead development and productionisation of scalable AI models and data-driven solutions. Tune and optimise models, evaluate third-party AI tools, define coding standards, and collaborate with software engineers to deliver high-quality, maintainable production systems aligned with business goals.

Lead discovery, definition and delivery of data-focused products. Create roadmaps, user stories, wireframes and technical specs. Run Agile ceremonies, prioritise backlog, resolve stakeholder conflicts, manage delivery to budget and timeline, support adoption, and collaborate with engineering, QA, design, data analysts and cross-functional stakeholders.

As a Data Architect, you'll lead traditional data architecture practices, provide technical guidance, manage a team, and engage with clients.