Top Data Jobs in London

As a Data Science Intern, you'll identify frameworks for data-driven business challenges, transform datasets, run analyses, build machine learning models, and communicate results.

The Data Consultant role involves building and contributing to big data solutions, data lakes, ingestion pipelines, and using various storage methods. Key responsibilities include collaborating with a cross-functional team to enhance client data strategies.

Lead an agile delivery team in all aspects of the data and analytics lifecycle, designing scalable data platforms and solutions and influencing project success.

Lead Analytics Engineering for Monopoly GO! by defining strategy, managing data platforms, and leading a high-performing team. Responsible for driving insight and innovation through data initiatives and AI adoption.

The Lead Data Engineer will develop secure data platforms using various technologies, ensuring data integrity and alignment to target models, and enhancing data processing.

Lead the development of backend services for government clients, focusing on high availability and scalability, while collaborating in agile teams and maintaining deployment pipelines.

The Lead Data Architect will shape data strategy, design secure data architectures on AWS, mentor teams, and ensure compliance with regulations.

Lead Kraken's Data Platform team focused on real-time infrastructure for data systems, managing team dynamics, architecture design, and promoting AI automation.

The Data Product Analyst designs and manages data products for insurance domains, ensuring they meet analytical and compliance standards while collaborating with cross-functional teams.

The Lead Data Scientist will set technical directions, oversee complex projects, mentor teams, and build relationships with clients while ensuring high-quality deliverables.

The Clinical Data Manager II ensures accuracy and consistency of clinical trial data while managing access in data management systems and collaborating with cross-functional teams.

The Senior Data Analyst will provide analytical leadership, deliver insights, support cloud transformation, and mentor junior analysts while engaging stakeholders across the business.

As a Data Engineer, you will develop and maintain data systems, automate data pipelines, collaborate with stakeholders, and ensure data governance compliance.

The AI Data Expert will evaluate AI outputs, provide cultural insights, generate content, and ensure quality by applying evaluation guidelines and offering clear feedback.

The role involves evaluating AI outputs, providing annotations, and generating culturally relevant content while ensuring quality guidelines are met.

Lead teams in Analytics Engineering, Data Science, and Product Analytics to set strategy, drive alignment, and improve data insights for Monopoly GO!

The Senior Data Product Manager focuses on defining the product strategy for an internal experimentation platform, overseeing its development, and collaborating with various teams to drive data-driven decision-making and promote a hypothesis-driven culture.

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

As a Senior Data Engineer, you will manage complex data projects, lead small teams, and work with clients on data engineering solutions. Responsibilities include ETL development, data pipeline orchestration, and customer relationship management.

The Senior Data Engineer will build core infrastructure software for data platforms, mentor engineers, and ensure data access and performance across systems.

As a Senior Algorithm Engineer, you'll lead the design and scaling of algorithms for data solutions in the energy sector, collaborating with cross-functional teams to optimize performance and mentor peers.

As a Senior Algorithm Engineer, you will design, optimize, and configure algorithms for energy data processing, collaborating with multiple teams and mentoring peers.

Design and maintain data pipelines, collaborate with stakeholders, ensure data quality, deploy infrastructure as code, and optimize reporting solutions.

Seeking detail-oriented reviewers for AI training projects, evaluating outputs, generating content, and ensuring cultural relevance. Requires strong analytical skills and attention to detail.

Evaluate and review AI outputs, generate or assess content, and ensure cultural relevance and accuracy in various media for AI projects.