Top Data Jobs in London

The CMC Consultant leads project delivery for biopharmaceutical clients, managing relationships and providing strategic guidance on supply chain and manufacturing challenges.

The role involves leading solution consulting in AI and Data, providing technical expertise, and engaging with executive stakeholders to drive business outcomes using ServiceNow's solutions.

As a Medtech Strategy Consultant, you will collaborate with clients to solve diverse challenges, supporting strategy, commercial performance, data analytics, and product launch in the healthcare and medical technology sectors.

As an Enterprise Architect, you will lead tech advisory growth, collaborate on solutions, manage client relationships, and mentor junior consultants within the organization, driving technology transformation for clients.

The Lead Value Engineer is a trusted advisor to customers, driving their value journey through analytics, process improvement, and stakeholder engagement, particularly in Finance and Supply Chain.

The Partner Program Manager will design and manage a tiered partner program, focusing on value-added systems for partner rewards, enablement, and performance analytics.

Lead complex engagements in Life Sciences Consulting, managing project teams and relationships, driving strategy and financial outcomes, while fostering a culture of excellence in the team.

The Lead Data Scientist will enhance fraud detection models, develop machine learning features, and collaborate with the Fraud Risk Team to mitigate risks against financial crime.

The Customer Success Manager will cultivate strong relationships with key stakeholders, develop tailored success plans, guide clients to maximize platform value, and collaborate with internal teams to achieve measurable outcomes.

The role involves collaborating with customers to design and execute experimentation programs, validate data, and support metric development, while ensuring customer success through rigorous analytical practices.

Join CrowdStrike's data engineering team to build a hyper-scale data lake for cybersecurity, using Java and Spark to develop data platforms and pipelines.

The Senior Product Data Manager oversees enterprise product data management, ensuring compliance, quality control, and efficient data governance across departments, while leading cross-functional initiatives and managing the product data lifecycle.

As a Senior Data Scientist, you will develop and implement statistical models and machine learning algorithms to enhance sports modeling and the Sportsbook experience, collaborating across teams and mentoring junior scientists.

The Lead Data Analyst will analyze CRM data to improve marketing strategies, set KPIs, design testing methodologies, and maintain dashboards. This role involves collaboration with multiple teams to drive customer engagement and optimize marketing efforts.

The Senior Payment Operations Analyst will drive data-driven improvements in payment processing quality, collaborate with stakeholders, and build data pipelines and visualizations.

The Senior Implementations Data Engineer will design, develop, and maintain data pipelines, ensure data security, and support customer integrations, working with cross-functional teams and stakeholders.

The role involves shaping data and AI strategies for financial institutions, guiding clients in harnessing AI for competitive advantage, and leading workshops to align stakeholders.

The Senior Software Engineer will scale the Supplier Data Manager for enterprise customers, enhance AI-driven data pipelines, and improve collaboration features while ensuring operational excellence and customer-driven product development.

The Senior Data Scientist will unify technical vision, develop and deploy ML models, and enhance AI strategy across teams. Responsibilities include collaboration, ownership of projects, and maximizing value through AI and data science techniques.

The Data Engineering Manager will lead the Treasury Global Liquidity team, responsible for system architecture, engineering practices, and team mentorship to enhance liquidity observability and resilience.

Lead WAM data architecture and cloud transformation engagements: define enterprise data strategies, design canonical WAM data models, architect cloud-native data platforms, integrate core WAM systems, establish data quality and control frameworks, and advise senior stakeholders on technical-to-business translation.

The role involves designing and maintaining a data platform, enhancing system efficiency, implementing data query solutions, and technical reviews within a data engineering team.

The Data Support Developer provides front-line support for Sky Road clients, develops scripts for monitoring data processes, and assists in onboarding new clients.

Lead data science initiatives for global marketing at Wise, focusing on building actionable models for marketing effectiveness and ROI. Drive growth strategy by partnering with various teams, mentor data science staff, and innovate in developing advanced marketing models.

Lead data analysis to optimize FX P&L, improve trading strategies, manage cash risk, and support product development in Treasury.