Top Data Jobs in London

The Senior Clinical Data Manager oversees clinical data management from study start-up to database lock, ensuring compliance, managing vendor activities, and maintaining data quality across multiple programs and CROs.

The Senior Clinical Data Manager oversees clinical data management from study start-up to database lock, ensuring compliance and quality in deliverables across multiple CROs. Responsibilities include vendor oversight, risk mitigation, regulatory submissions, and managing budgets and timelines for data management activities.

As a Senior Data Enablement Engineer at Depop, you will architect and scale the data platform, develop microservices, and lead initiatives across teams to promote data governance and observability practices.

The Manager, Clinical Data Management will oversee clinical data management activities, ensuring high quality data and managing timelines with internal and external teams.

The Senior Data Analyst will own analytics for finance, create dashboards, ensure data quality, and communicate insights to support decision-making.

As Lead Data Analyst, you'll drive efficiency in Middle Mile and Sortation operations by leading a team, building analytical models, and influencing decisions at leadership level.

As Data Science Manager, you will lead a team of data scientists, shaping models that impact logistics operations and contributing to strategic decisions.

The Senior Data Scientist will build and maintain models for simulating the logistics network, addressing operational queries from finance teams about costs and efficiencies.

The Head of Data Platform will lead the data infrastructure, ensuring the data is accessible and structured for decision-making and AI systems, while managing a team of analytics engineers and collaborating with Engineering.

As a Senior Data Analyst, you will manage analytics for growth initiatives, define metrics, analyze network profitability, and collaborate across teams to enhance delivery services.

As a Senior Staff Data Engineer, you will lead data engineering practices, establish best practices, mentor teams, and design secure data solutions. Collaboration with various teams is essential to align on goals and ensure compliance with data regulations.

The Principal Data Scientist will lead complex projects, drive innovation in AI solutions, mentor teams, and influence data science strategy.

As a kdb+ Developer, you'll work on trade surveillance projects, collaborating with business users, developing client applications, mentoring junior developers, and analyzing data to create client reports.

The AI Technologist will manage data architecture projects, implement solutions, ensure data governance, and mentor junior staff.

Lead cross-functional initiatives to enhance KOL data products, translating customer needs into development initiatives and ensuring data quality and usability.

As a Data Analyst at Thrill Labs, you will analyze datasets to provide insights, develop dashboards, and collaborate with teams to drive product and operational strategies.

As a Senior Software Engineer, you'll maintain critical parts of ClickHouse's Data engineering ecosystem, focusing on JVM-based frameworks and ensuring high-performance integrations for real-time analytics and data workloads.

As a Data Analyst III, you will analyze data, create visualizations, and provide insights using AI tools to support business decisions while collaborating with stakeholders.

The Senior Data Engineer will design and maintain scalable data pipelines, ensure data quality, and develop backend services to support WalletConnect's payments infrastructure and analytics.

The Data Scientist II role involves designing performance metrics, creating data pipelines, conducting experiments, and delivering data-driven insights to support decision-making across SAFE studios.

As a Senior Systems Engineer, you'll assist customers with installations, define product requirements, and lead sales strategies for storage solutions.

Manage and grow a stable of freelance creators to produce and edit high-quality written and video tutorials on data science, AI, analytics, BI, data engineering and cloud. Write content briefs, edit submissions, combine SEO keyword analysis with domain expertise, and meet targets of 25 articles and 4 videos per month while ensuring quality and deadlines.

Recruit, manage, and edit freelance creators to produce high-quality written and video tutorials on data science, AI, analytics, BI, and cloud. Write content briefs, combine SEO analysis with domain expertise, and meet targets of 25 articles and 4 videos per month while ensuring quality, deadlines, and payment management.

The Data Science Editor will create and edit tutorials on data science and AI, manage freelancers, and improve content through SEO practices.

Analyze on-chain trading activity and market/DEX/CEX data at scale, build models for portfolio/PnL and capital efficiency, design AI-driven research pipelines, produce insights to inform product and capital strategy, and collaborate with product and engineering teams.