Top Data Jobs in London

Design and develop next generation Mechanical Infrastructure for data centers, manage vendors, and ensure successful project outcomes while traveling to various locations.

As a Data Scientist focused on Fraud Decisioning, you will analyze data to create and optimize fraud management models and strategies, balance loss reduction with approvals, and monitor model performance.

The Senior Data Analyst will lead data projects focusing on vessel analysis, support product development, and engage with clients while managing complex datasets.

As a Software Engineer - Data & AI at Speechmatics, you'll design and manage data pipelines, ensuring quality and reliability while collaborating on AI model development.

The Data Centre Engineer will maintain and support Dell servers, perform hardware diagnostics, manage inventory, and document service activities.

As an Analytics Engineer, you will design and maintain SQL models for on-chain data, work with transformation tools, and collaborate with engineers on data pipelines.

The role involves building scalable data search platforms and distributed systems for autonomous driving applications using ML technologies while collaborating with cross-functional teams.

The Data Scientist will analyze large datasets, develop machine learning models, and communicate insights to enhance data-driven decision-making within the company.

The Presales Solution Architect will advise on data challenges, conduct workshops, design technical architectures, and engage with customers to drive revenue in data management.

Join a collaborative team to build and maintain data pipelines and infrastructure on a GCP-based platform, ensuring data reliability and performance.

The Data Protection Manager will oversee data privacy compliance, promote data protection governance, manage requests, and advise on privacy issues within the organization.

The Data Engineer will build and maintain the revenue platform, design scalable systems for financial operations, and develop tools for finance teams at Spotify.

Lead and manage a team of data engineers, overseeing day-to-day operations, project prioritization, and the delivery of data solutions.

The Data Research Analyst will oversee data collection, quality control, and competitive analysis for financial products, while managing projects and communication within teams.

The Market Data Benchmarking Analyst analyzes market data, identifies cost-saving opportunities, delivers benchmarking results to clients, and assists in training and contract analysis.

The Data Analyst (Looker Specialist) will build and maintain Looker dashboards, write SQL queries, analyze data, and support BI strategies.

The Data Manager will oversee clinical trial data management, collaborating on trial design, setup, delivery, and product development to ensure quality outcomes.

The Associate Data Analyst will support data analysis, develop forecasting models, automate reporting, and analyze trading performance metrics.

Design and architect scalable backend services, develop robust governance systems, build SaaS solutions, and mentor junior engineers to enhance IoT platform capabilities.

As a Product Manager, you will define the strategy for Yuno's reconciliation platform, prioritize features, manage the engineering team, and ensure user needs are met.

The Senior Backend Engineer at ClickHouse will enhance the data onboarding platform, manage infrastructure across cloud providers, improve deployment pipelines, and contribute to architectural decisions for scalability and reliability.

Analyze data to support the development of credit models and lending strategies, collaborating with teams to improve decision-making and outcomes.

As a Data Engineer, you will design and develop data platforms and ETL pipelines, collaborate with stakeholders, and contribute to technology partnerships while adhering to industry best practices.

Design, develop, and maintain scalable data architectures and ETL pipelines, integrating internal and third-party data while optimizing performance and security compliance.

Lead project teams in delivering bespoke algorithms, mentor other data scientists, and shape client relationships in the defence and national security sector.