Top Data Jobs in London

Lead mechanical delivery for hyperscale and co-location data centre projects across UK/EMEA. Drive technical excellence, client relationships, work-winning, team leadership, and project financial management for mission-critical environments.

Lead mechanical delivery for hyperscale and co-location data centre projects across EMEA. Act as sector ambassador, drive technical excellence, win work, manage project financials, lead teams, and ensure high-quality mechanical design and client engagement for mission-critical environments.

Lead electrical design and engineering for data centre projects, ensuring performance and energy efficiency while managing multidisciplinary teams and building client relationships.

As a Data Science Managing Consultant, you will lead business development, manage teams, and deliver data-driven solutions in the transport sector, while coaching junior staff and contributing to thought leadership.

Lead design and engineering for data centre projects, ensuring optimal performance. Manage teams, engage with clients, and mentor junior engineers.

The Principal Mechanical Engineer will lead mechanical engineering projects for data centres, managing multidisciplinary teams and contributing to strategic growth and thought leadership.

Load, validate and process hospitality benchmarking data from submissions and feeds; perform quality checks, resolve discrepancies with clients, generate and deliver recurring reports, automate data feeds, manage workflows, and partner with internal teams to ensure timely, accurate data delivery while maintaining confidentiality.

The role involves owning operational processes for the Data & Applied AI team, ensuring alignment, tracking project delivery, and improving team efficiencies while working closely with the VP.

The Data Architect will transform data into a strategic asset, ensuring robust data architectures that align with business goals and drive operational excellence across Ramboll's sectors.

The role involves sourcing and managing international data vendors to support identity verification and compliance products, collaborating with various departments to enhance data quality and operational scalability.

As a Senior kdb+ Engineer, you'll design and implement kdb+ architectures, mentor developers, and lead projects for financial institutions, ensuring high-performance solutions.

As a Senior kdb+ Engineer, you will deliver high-performance solutions for financial institutions, lead technical projects, design robust architectures, mentor developers, and drive innovation in kdb+ and time-series data handling.

Collaborate with users to define application requirements, develop and test code, support project delivery, analyze time-series data, and mentor juniors.

The Senior Data Engineer will develop scalable data solutions, build data pipelines, optimize performance for data lakes, and ensure data quality.

Customer-facing technical leader owning long-term technical success and value realization for strategic enterprise accounts. Architect and lead implementations, migrations, and scalable cloud-native deployments; build joint success plans; monitor adoption and health; partner with Sales, Product, and Engineering; and provide technical guidance, reference architectures, and feedback to drive predictable expansion and customer outcomes. Travel to customer sites as needed.

As a Treasury Data Engineer, you will design and maintain data pipelines, onboard new storage layers, and collaborate with teams to enhance Treasury analytics.

The VP Deal Management Manager will develop pricing models and proposals, collaborate with stakeholders, lead initiatives in AI and data science, and ensure billing accuracy to avoid revenue leakage.

The role involves designing and implementing Master Data Management solutions, assessing enterprise data domains, and defining governance structures, requiring strong consulting skills and Azure expertise.

The Climate Data Scientist will enhance climate risk models, develop new analytical tools, and support financial entities in assessing climate impacts using large datasets and advanced methods.

Develop end-to-end data science solutions and predictive/prescriptive models using statistical and machine learning techniques. Work with large and third-party datasets, LLMs, and GCP, collaborate with data engineers and business stakeholders, communicate analytical insights, and help mature analytics practices across underwriting, pricing and other business functions.

The Senior Manager, Data Sciences role focuses on developing novel computational methods and predictive models from complex clinical data to drive drug development insights.

As a Principal Data Scientist, you will lead complex data science initiatives, mentoring junior colleagues and collaborating with cross-functional teams to enhance business value through data-driven solutions.

Lead and evolve Skyscanner's data platform and decision tooling to enable reliable experimentation, production ML, AI-assisted analytics, data quality, automation for data engineering, scalable delivery, and measurable business impact. Define operating models, ownership, governance, and connect platform investments to product and revenue outcomes.

Lead and grow a Data Science chapter, architect and deliver AI/ML/LLM solutions, establish MLOps and governance, mentor junior staff, collaborate with engineering and business stakeholders to drive productionised analytics and innovation.

Analyze and interpret complex datasets to support business decisions; perform data validation, profiling, reconciliation and root-cause analysis; develop SQL queries and Power BI reports; present insights to stakeholders; support data onboarding, automation/AI initiatives and process improvements to enhance data quality and operational efficiency.