Graduate Data Scientist

Overview

Are you a recent graduate with a curiosity for AI, automation, and how technology can improve real businesses? This is a rare opportunity to join a growing organisation at an early stage of its data and AI journey, where your ideas and technical skills can make a genuine impact from day one.

We're hiring a Graduate Data Scientist to help explore, test, and implement modern AI-driven solutions across the business. You'll be working in a hands-on, exploratory role that blends data analysis, applied AI, and problem-solving. Ideal for someone looking to build practical experience beyond theory.

About the role

As a Graduate Data Scientist, you'll support the identification and development of AI and data-led opportunities across the company. You'll look at existing processes, ask "how could this be done better?", and work to prototype solutions using modern tools, platforms, and technologies.

This role is deliberately broad. You won't be boxed into one narrow technical area, instead, you'll gain exposure to automation, data analysis, APIs, and AI tooling, while learning how to translate business challenges into workable technical ideas.

About the company

You'll be joining a well-established organisation that is actively investing in data, technology, and AI to drive smarter decision-making and improve efficiency. This is an environment where learning is encouraged, experimentation is valued, and you'll be trusted with real responsibility.

The role is hybrid, with three days per week based in the London office.

What we're looking for

• A strong interest in AI, automation, and emerging technologies
• A degree in a relevant subject (Data Science, Computer Science, Mathematics, or similar)
• Some hands-on technical experience through internships, projects, placements, or coursework (e.g. Python, data analysis, automation, APIs, or similar)
• A curious, problem-solving mindset and a willingness to experiment
• Good communication skills and the confidence to share ideas and ask questions
• You don't need to be an expert, what matters most is enthusiasm, technical foundations, and a desire to learn in a real-world environment.