Top Data Jobs in London

The Trader role involves managing trading systems, collaborating with developers, solving practical problems, and optimizing trading processes in a fast-paced environment, requiring availability for various shifts.

The Head of AI & Data Science will lead strategic AI initiatives, architecture, and R&D, partnering with C-suite executives and influencing engineering standards to enhance data technologies in finance.

Lead architect responsible for designing and implementing Azure data engineering solutions, leading data teams, and engaging with senior stakeholders.

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

The Project Manager will oversee data center construction projects, coordinating consultants and contractors, managing risks, and ensuring alignment with technical standards and governance.

As a Cost Manager for data centres, lead cost management efforts ensuring value for clients, involving negotiation, procurement, cost modeling, and financial performance improvement.

Lead content strategy and execution for the Real-Time & Quantitative Data business, delivering high-impact, customer-centric marketing content aligned with commercial objectives.

The Data Analyst provides reports, insights, and visualizations for the Global Finance team, focusing on automation, data trends, and collaboration.

Lead the development and delivery of data solutions for customer analytics. Manage a distributed team to ensure quality, secure, and scalable data products. Collaborate with product teams to align technical and business needs, establishing engineering guidelines and driving automation in data processes.

Guide clients through Workday HCM data conversion and implementation: design, map, cleanse, load, validate data using Workday tools (iLoad, EIB, Object Transporter), create ETL scripts and reports, and support tenant migrations and client communication throughout projects.

Own product strategy and roadmap for data collection, transformation, and quality within Algolia's Data Platform. Drive ETL/ELT, schema alignment, connectors, APIs, and monitoring to reduce onboarding time, improve data quality, and increase adoption. Partner across Connector, AI Search, Infrastructure, GTM, and Professional Services to deliver measurable outcomes and platform metrics.

The Data Product Intern will establish a data product system by coordinating with global teams, optimizing product design, and understanding customer needs to deliver tailored solutions.

The Senior Data Scientist will investigate and incubate AI solutions, collaborate on product capabilities, and design scalable data infrastructure.

The Senior Data Scientist will lead analytical projects, mentor juniors, and apply data science and machine learning to enhance decision-making in insurance processes.

As a Principal Data and AI Architect, you'll lead technical design for AI solutions, guide customer integrations, and ensure effective use of Salesforce data platforms to drive business impact.

Lead the design, development, and operation of analytical and ML systems for financial services, ensuring model accuracy and compliance.

The Mechanical Associate Director will lead delivery in data centres, enhancing client relations, managing project financials, and demonstrating expert mechanical engineering for hyperscale projects across EMEA.

Lead Mechanical project delivery in the Technology/Data Centres sector, enhancing client relationships and growth, and managing project financials.

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.

Lead a team of data engineers to build scalable analytics solutions, ensuring team success, delivery of data solutions, and career growth.

The Applied Data Scientist will develop and support complex models, apply machine learning techniques, and solve client problems in data science, particularly in category management.

The Senior Manager, Data Science will lead predictive modelling projects, ensuring governance and compliance, while fostering a high-performing data science team.

As a Senior Mechanical Engineer for Data Centres, you will design and manage mechanical systems while collaborating across disciplines to deliver innovative engineering solutions that ensure client satisfaction.

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

The Principal Engineer will lead the development of a payroll data lifecycle, including calculations, data ingestion, integration, and reporting, ensuring accuracy and compliance across global jurisdictions.