Top Data Jobs in London

As a Junior Data Engineer, you will build and maintain ETL/ELT data pipelines, support data analytics initiatives, and ensure data quality and monitoring processes while collaborating closely with business stakeholders.

The Data Consultant manages client relationships, ensures data quality, provides training and analysis, and identifies improvement opportunities in data management.

Lead and develop teams of data scientists, driving impactful projects through experimentation, causal inference, and applied machine learning while collaborating with various stakeholders.

Lead the architecture and management of AI and data platforms, driving product strategy and ensuring alignment with business goals while overseeing technical product development and delivery.

As a Staff Data Scientist, you'll drive data-driven insights for GTM strategies, build data pipelines, analyze key metrics, and automate models and dashboards to enhance business performance.

The Data Science Graduate will develop analytics-driven solutions for clients, using predictive modeling and machine learning to enhance business performance and manage data science projects effectively.

The Senior Software Engineer will build and operate backend systems for regulatory reporting, ensuring reliability and compliance while collaborating with cross-functional teams.

Lead the design and implementation of backend services for regulatory reporting, ensuring operational reliability and compliance. Mentor engineers and collaborate with cross-functional teams.

As an AI Data Collector, you will capture high-quality images in various real-world environments to assist in AI system development.

The Data Researcher will collect, update and manage shipping market data, support brokers with research requests, and compile market reports.

The role involves leveraging data science techniques to analyze and generate insights for strategic decisions related to People & Culture. Responsibilities include conducting analyses, communicating findings, developing tools, and collaborating with stakeholders.

As a Data Scientist, you will train, deploy, debug, and evaluate fraud detection models, collaborating with teams to enhance and maintain them.

As a Staff Data Engineer, you will build and optimize data models and governance in a multi-disciplinary team, focusing on data warehousing and cost reduction.

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

As a Senior Data Scientist at Ascent, you'll design, implement, and deploy machine learning models while collaborating with stakeholders to deliver data-driven solutions and enhance business operations.

Lead a senior engineering team to design, build, and run the Customer MDM platform. Manage integrations, ensure data quality, and collaborate with stakeholders to enhance customer data capabilities.

The role involves building and maintaining full-stack systems for data feedback collection, translating research into production infrastructure, and enhancing model training and interaction.

The Senior Data Scientist will develop predictive models, conduct statistical analysis, and work with cricket datasets to uncover trends and validate model performance.

Lead and coordinate multi-disciplinary design teams on complex data centre projects, ensuring technical excellence and client satisfaction. Manage project phases from planning to construction documentation while maintaining client relationships and compliance.

The role advises clients on master data management and governance, supports SAP S/4HANA migration, designs governance models, and drives sales origination.

The Finance Systems Manager will oversee the transition of SAP support to in-house, establish a Centre of Excellence, and ensure efficient reporting across finance and IT functions.

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

Lead innovation in experimentation and causal inference, mentoring data scientists, driving research, and collaborating on data-driven decision-making.

As a Data Science & Marketing Effectiveness Intern, you will analyze data, build marketing models, and gain consulting experience over a 6-month period.