Top Data Jobs in London

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

You will support pharmaceutical companies in developing market access strategies, pricing, negotiations, and creating compelling value propositions while leading teams and managing projects.

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

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 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.

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

The role involves enhancing platform reliability through metrics analysis, influencing engineering decisions, and driving clarity on system performance and risks.

As an Associate Software Developer, you will design and improve reporting features, maintain systems, and enhance collaboration within teams to ensure high-quality software solutions in the context of alternative investments reporting.

As a Senior Data Platform Engineer, you will design, build, and operate a cloud-based database platform, focusing on automation, reliability, and security across the infrastructure, while mentoring other engineers and leading incident responses.

As a Data Platform Engineer, you will design and improve the internal cloud-based database platform, implement automation, and ensure security and compliance for YugabyteDB clusters, collaborating with various teams.

The role involves designing and developing high-performance, real-time data processing systems using Apache Flink and Kafka, ensuring reliability and scalability while collaborating with various teams.

The role involves managing client relationships, leading GP engagement, defining strategies based on client feedback, and ensuring service quality in Private Data Services.

The Analyst will build relationships with Fund Managers in EMEA, manage data, perform quality assurance, and conduct research for investment solutions.

Lead and mentor data science teams to design, develop, and deploy ML and AI solutions (including GenAI/LLMs). Align technical outcomes with business goals, drive MLOps and model governance, and deliver scalable production systems.

As a Senior Engineering Team Lead, you'll coach and mentor a Database Reliability Engineering team, ensuring operational excellence while collaborating on high-impact solutions and managing database technologies.

The Data Analysis Lead will develop service mapping strategies, analyze data, improve customer experience, and enhance operational resilience within business functions.

Design and build scalable, secure data pipelines (streaming and batch), drive CI/CD and automation, participate in cloud migration and architecture discussions, collaborate with clients, and mentor internal teams to deliver production-grade data solutions.

Serve as the primary data consultant for a business domain, translating stakeholder needs into prioritized data product requirements, conducting lightweight ad-hoc analysis (SQL, Looker), triaging requests, tracking business value and ROI, and enabling teams to self-serve while ensuring data quality, adoption and measurable impact.

Lead and develop a high-performing engineering team, drive technical leadership, and evolve architecture and processes to enhance product scalability and data capacity.

Lead the development of backend infrastructure features, collaborating with cross-functional teams to enhance product architecture and ensure engineering excellence. Drive ownership from conception to post-deployment in a fast-paced environment.

Join monday.com as a Senior Software Engineer to drive backend development and shape product architecture using cutting-edge technologies in a collaborative, innovative environment.

As a Senior Data Science Engineer, you'll lead data science projects, develop algorithms, analyze datasets, and mentor junior team members to enhance trading operations and strategies.

Lead EMEA private markets data acquisition and partnerships: set strategy, manage VPs and senior associates, drive market mapping and partnerships, partner with Data/Product/Technology on sourcing and ingestion, mentor teams, represent data to clients, and lead change through technology and processes.