Top Data Jobs in London

The Data Analyst will analyze datasets, build reports and dashboards, support Product Analytics, and provide insights to drive business decisions.

The Senior Data Engineer designs high-scale data solutions, mentors junior engineers, and improves the data architecture for analytics, focusing on data integration, testing, and real-time pipeline development.

The Senior Associate will develop client relationships, increase engagement, manage sales inquiries, analyze data, and mentor junior staff while providing sales support for MarketAxess' data products.

The Lead Data Analyst will drive analytics in operations, providing insights to optimize performance and influence data-driven decisions, collaborating with various teams to enhance customer experience.

Lead and develop a high-performing team, championing Samsara's cultural principles and focusing on customer success in product management.

Lead projects focused on data strategy for Real World Evidence in healthcare, manage multiple workstreams, and mentor junior team members.

As a Data Science Lead in Screening, you'll develop machine learning solutions for sanctions and screening processes, build a new team, and enhance operational processes.

The Sales Manager will grow DSP revenue in the UK, source clients, drive platform uptake, and develop industry networks while representing the company at events.

The Strategic Alliances Manager will manage and scale partner relationships to drive pipeline growth, oversee joint business planning, and ensure partner enablement. Responsibilities include operational excellence, tracking alliance KPIs, supporting marketing efforts, and collaborating cross-functionally to optimize go-to-market strategies.

Lead the digital transformation of credit analysis in loan underwriting, focusing on product strategy, stakeholder partnership, and team management to improve efficiency and decision-making.

The Senior Product Manager, AIML will drive the lifecycle of AI/ML products, collaborating with teams to innovate and improve healthcare outcomes.

This internship program provides hands-on experience in engineering, focusing on agile practices, collaboration, and real-world project contributions, culminating in potential placement in a graduate program.

Lead initiatives to improve company decision-making through data analysis, curate datasets, and assist in strategic planning and pricing strategies.

Design, implement, and maintain market data feed handlers, optimize system performance, and collaborate with traders and engineers to ensure data integrity.

Join the FinTech Data Science team to develop ML models for fraud detection and optimize billing systems using AI and NLP techniques.

The Data Centre Engineer supports global data centers, coordinates equipment management, responds to incidents, manages inventory, and ensures compliance.

The Data Centre Engineer is responsible for supporting the global portfolio of Data Centers, managing equipment changes, incidents, resources, and ensuring compliance and accuracy of data center operations.

Analyze data to provide actionable insights into player engagement, retention, and monetization for the CSR Racing franchise, while collaborating closely with design and product teams.

The Manager, Business Transformation will drive strategy, transformation, and change initiatives, ensuring high-quality project delivery and managing client relationships while collaborating with internal teams to utilize AI for business growth.

The Incident Response Manager coordinates response to security incidents, manages communication and action tracking, and improves incident response processes.

As Head of Consumer Strategy, lead the strategy and execution of initiatives to drive homeowner growth and engagement, collaborating with senior leaders across marketing and product.

As a Data Operations Intern, you will synthesize insights, create standardized dashboard templates, ensure metric integrity, and enable data-informed decision-making for the team.

Assist investment teams by analyzing data from multiple sources, presenting findings, and learning fundamental investment approaches.

The role involves collaborating with customer Analytics teams, improving data architecture, refining ML algorithms, and providing ongoing technical expertise for customer success.

This role involves maintaining and enhancing marketing attribution models, collaborating with other teams, ensuring data accuracy, and building self-service dashboards for performance metrics.