Top Data Jobs in London

As a Data Analyst, you will extract value from data, build dashboards, conduct analyses, and support data-driven decision-making at Zeelo.

Lead strategic development of data products, manage product roadmaps, collaborate with cross-functional teams, and ensure compliance with data standards.

As a Software Engineer on the Data Platform team, you will develop scalable microservices on AWS, mentor junior engineers, and manage backend systems for data processing, ensuring optimal performance and reliability.

As a Senior Data Scientist, you will lead data science initiatives, deploying ML algorithms, driving user engagement, and communicating insights to stakeholders.

The Data Architect will design and build scalable data solutions, ensuring data integrity and supporting real-time business intelligence for enterprise customers.

The Data Lead/Head of Data will architect a data function, oversee team building, and improve decision-making through data insights to support nonprofits' funding access.

As a Senior Data Engineer at Goodstack, you'll design scalable data pipelines, maintain the data infrastructure, ensure data quality, mentor engineers, and collaborate to turn data into insights.

The Senior Data Engineer will develop API strategies, build data pipelines, enhance data quality, and influence technical direction for the data platform.

Develop machine learning models for conversational AI and autonomous agents, focusing on system design, prompt optimization, and predictive modeling.

The Senior Product Manager will lead AI, analytics, and data initiatives, managing teams to build insights and infrastructure for global commerce.

The Lead Data Scientist drives the data science strategy, develops innovative solutions, mentors team members, and supports business development in healthcare consultancy.

The role involves developing and maintaining data parsers for financial market data, improving data processing systems, and collaborating on Development projects.

Lead the Market Data team in developing and managing data parsers for equities, ensuring high-quality data processing, and collaborating across teams. Spend 50% on development and 50% on management, using Agile methodologies.

Lead and grow a team of Data Engineers, overseeing data infrastructure and architecture, collaborating with cross-functional teams to drive data strategies.

Lead a team of data scientists to innovate in experimentation and causal inference, enhancing decision-making and product strategies through evidence-based methodologies.

The Data Engineer role entails building scalable data infrastructure, developing ETL pipelines, managing an internal data lake, and enhancing risk detection systems for Quantexa's platform, requiring collaboration and continuous improvement in a fast-paced environment.

Design and implement AI-powered internal tools for GTM use cases, managing full lifecycle from data modeling to production. Collaborate closely with GTM teams to translate data into actionable insights with a focus on measurable business impact.

As an Analytics Engineer, you will build and optimize data pipelines, model cost databases, analyze data for performance, and collaborate with teams on data-driven insights.

The Data Engineering Lead oversees data engineering operations, manages teams, ensures data integrity, and drives innovation in data management and governance.

As a Senior Game Data Analyst for the mobile game 'All in Hole', you will drive game strategy through data, collaborate with product managers, set up data tracking, analyze game performance, and lead A/B testing efforts to enhance user engagement.

The Senior Data Specialist will support data compliance and governance, implement data management policies, foster stakeholder relationships, and improve data practices across the organization.

The Principal Client Manager leads sales processes for mid-market and enterprise clients, focuses on client needs, drives revenue growth, and mentors junior team members.

The Data Scientist will analyze multi-omics and population genetics data, develop statistical models, collaborate with teams, and present findings.

The Senior Data Engineer will build and maintain data pipelines for analytics, collaborating closely with analysts and engineers to provide reliable data access.

Join a Bioinformatics Team to build data pipelines for genetic research, ensuring data quality and collaborating with stakeholders.