Top Data Jobs in London

Lead data-driven innovation at Sotheby's, overseeing data initiatives across multiple functions. Develop strategies and frameworks for analytics, ensuring ethical data governance and leveraging data for business insights.

Lead the product development lifecycle for Smart NIC and ToR switches. Drive product strategy, market engagement, and collaboration with teams to ensure successful product delivery and business outcomes.

Develop and improve machine learning and statistical models for sports betting products, collaborating with teams to enhance performance and deploy models.

As a Senior Director Analyst, you will research data management solutions, provide insights, support sales efforts, and deliver high-value presentations.

The Director of Tooling will lead product management of Clarity/PPM tools, drive tooling strategy, enhance user experience, manage project lifecycles, and improve governance and data quality through effective collaboration.

The Staff Product Manager will own the data infrastructure layer for enterprise offerings, focusing on AI integration and driving product vision and execution.

Design, build, and optimize AWS data platforms, ensuring secure data solutions while collaborating with stakeholders.

Interns will assist in upgrading data libraries and participate in quantitative development projects, gaining insights into hedge fund operations.

The role involves designing and building backend services, UI components, and integrations, while maintaining solid infrastructure practices and contributing to team collaboration.

As a Product Data Scientist, you'll drive product strategy using data analysis, influence product roadmaps, and lead analytics efforts to identify improvement opportunities.

The Data Solutions Director leads reporting and data automation initiatives, supports team management, ensures client engagement, and oversees platform integration.

The Data Analytics Engineer will collaborate with teams to enhance data solutions, build data pipelines, dashboards, and support decision-making through data analysis.

The Data Engineer will build and optimize ETL/ELT pipelines, collaborate on data solutions, and create Power BI dashboards to support business decisions.

As a Senior Data Analyst, you will analyze user behavior, create data models, maintain BI tools, and communicate insights to drive growth.

The Senior Research Data Analyst conducts statistical analyses in health outcomes research, develops analysis plans, and supports study operations, including protocol development and literature reviews.

The Lead Business Strategy Consultant will guide complex projects, lead strategic workshops, mentor analysts, and support data-driven decision-making with enhanced analytics and AI initiatives.

As a Platform Data Analyst, you'll monitor performance, build analytics dashboards, and ensure reliable data pipelines for the Runware platform.

The Data Engineer will architect and maintain the data infrastructure, focusing on high-volume logs and performance pipelines to support observability and analytics for various teams.

Manage post-sales customer relationships, ensure successful installations and upgrades, advocate for customer needs, and lead review meetings and support efforts.

Lead the EMEA data team to develop and enhance datasets for energy markets, ensuring quality and meeting client needs through collaboration and strategic direction.

The Director of Strategic Partnerships is responsible for developing and managing strategic partnerships with ISV and OEMs, driving joint initiatives, and collaborating across Actian teams to enhance partnership strategies. The role requires deep domain expertise in data management and technical acumen along with strong communication and leadership skills.

Drive value through data engineering by leading data migrations, designing data solutions, coaching junior engineers, and ensuring compliance with data privacy standards.

As a Data Scientist Manager, lead the delivery of advanced AI solutions, manage a team, engage with stakeholders, and innovate in AI technologies.

The Data Engineer will design and support data warehouses, create analytics dashboards, perform data quality analysis, and identify process improvements. Responsibilities include collaborating with stakeholders to develop insights and ensure data governance.

As a Data Scientist focusing on alternative data, you will analyze complex datasets, apply statistical and machine learning techniques, and develop tools for investment strategies.