Top Data Science Jobs in London

The Data Science Summer Internship involves building data pipelines, conducting data analysis, applying machine learning models, and creating visual reports using tools like Databricks and Snowflake.

The Senior Data Science Consultant will design analytics solutions, engage with clients, present proposals, and support sales opportunities in credit risk management.

Lead and develop a team of ML engineers, manage predictive models for user acquisition strategies, and design production ML systems.

As a Senior Software Engineer I on the Flywheel team, you will develop intelligent workflows, collaborate with Customer Success reps, and contribute to backend and full stack systems.

As a Software Engineer, you'll enhance Neo4j's Graph Data Science platform, write high-performance code, and collaborate on innovations in graph algorithms and machine learning.

Develop and support reusable Python packages for data science solutions, build processes and tools, and work with machine learning techniques.

As a Curriculum Manager, you will manage content development for the data science and engineering curriculum, collaborating with instructors and teams to enhance learning experiences.

Manage curriculum development for data science and engineering, collaborate with instructors, create content, and drive improvements based on learner feedback.

The Data Science Editor will create and edit tutorials on data science and AI, manage freelancers, and improve content through SEO practices.

Lead data science projects to develop and evaluate marketing tactics using innovative techniques. Collaborate across teams to influence strategic decisions and drive business impact.

Lead a team of Forward Deployed Data Scientists to drive AI adoption and data-driven solutions for strategic customers, enhancing support operations.

The Director, Data Science leads a team in developing data analytics solutions for clients. Responsibilities include project oversight, predictive modeling, and delivering actionable insights.

Lead a data science team to develop innovative products enhancing customer experience and supporting energy transition. Collaborate with product leadership, mentor junior scientists, and analyze product performance.

The Data Science Consultant will analyze data, apply machine learning techniques, optimize supply chains, and advise on data-driven strategies for improvement.

Vizzuality is seeking passionate individuals for their talent pool in various roles related to science, data, design, and project management, focused on sustainability and positive environmental impacts.

Analyze large datasets to tackle business challenges in gaming using machine learning. Collaborate with teams to implement data-driven strategies and deliver insights.

The Data Science Manager will lead a team of data scientists to develop machine learning models for credit-related solutions and promote collaborative, data-driven insights across Kuda.

As a Data Scientist at QRT, you will work with data to inform trading decisions, prototype data handling code, and solve data related problems.

As a Manager in Marketing Mix Modelling, you will lead analytics projects, manage client relationships, and provide actionable insights for marketing strategies while navigating complex data.

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 Scientist will lead client projects, utilize data science techniques, and manage stakeholder relationships while developing scalable models. Strong communication and problem-solving skills are essential, focusing on innovation and collaboration.

The Curriculum Manager will oversee the content development lifecycle, recruit instructors, design curriculum, assess course performance, and improve data science and engineering content.

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

Create predictive signals by analyzing large datasets, identifying statistical patterns, and discussing methodologies with researchers.

Lead the Hotel Optimization team, design data-driven models, drive revenue opportunities, and automate processes through advanced analytics and programming.