Data Scientist

At Magentic, we're building AI systems that can autonomously run complex procurement and supply chain workflows for some of the world's largest companies. We're tackling a genuinely hard real world problem, helping global manufacturing supply chains become more resilient in an increasingly unpredictable world. It's a massive space with huge untapped potential for AI.

We're an early stage company backed by Sequoia Capital, with a team bringing experience from OpenAI, Meta, Revolut, NASA and McKinsey & Company.

In this role you will apply LLMs and AI tooling to large scale, messy, real world datasets, solving operational problems where the answers aren't obvious and the impact is very tangible. You'll work with Python, notebooks, LLMs, and structured thinking to dig into complex enterprise data, uncover insights, automate workflows, and prototype intelligent systems quickly. The ideal candidate is highly curious, pragmatic, and comfortable operating in ambiguity. You don't need to be a production software engineer, but you must be technically capable, thoughtful, and able to independently execute meaningful work.

• Work with large, messy, real world enterprise datasets
• Apply LLMs and AI tooling to operational and analytical problems at scale
• Build data workflows and experiments using Python and Jupyter notebooks
• Run and analyse large scale queries and model outputs
• Prototype and iterate quickly on AI driven approaches
• Work closely with product, engineering, and founders on exploratory projects
• Translate ambiguous problems into structured investigations and solutions
• Help shape how AI is applied across procurement and supply chain workflows

• Have 3+ years of hands on experience in data science, applied AI, analytics, or similar work
• Or a strong academic background (e.g., Master's in Data Science, Machine Learning, Statistics, Mathematics, Computer Science, Physics) combined with 1-2 years of industry experience
• Have strong Python skills
• Have experience working in Jupyter notebooks
• Be familiar with LLMs, AI tooling, or applied machine learning workflows
• Have strong analytical and problem solving ability
• Comfort working independently on open ended problems
• Practice pragmatic solutions rather than over engineering
• Be curious and enthusiastic about AI native ways of working

• Experience applying LLMs to real world datasets
• Experience with vector databases, embeddings, or retrieval systems
• Exposure to operational or enterprise data environments
• Background in highly analytical disciplines such as medicine, physics, maths, or engineering

• Competitive equity: play a real part in Magentic's upside
• A salary of £60-70k
• Enhanced parental leave
• 25 days holiday plus a bank holiday, plus an extra day for our Christmas shutdown
• In office lunches provided
• Monthly organised socials and an additional flexible monthly social budget for team lunches, coffees, dinners, or activities with colleagues
• Salary sacrifice pension and nursery schemes
• Hybrid London HQ (WFH Thurs and every other Tues, with flex if you have appointments etc)
• Annual team retreat - a fully funded off site to recharge, bond, and build

Magentic is committed to creating a diverse and inclusive workplace and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender reassignment, marital or civil partnership status, age, disability, pregnancy or maternity, or any other basis as protected by the Equality Act 2010. We actively encourage applications from candidates of all backgrounds and cultures and believe a diverse workforce enhances our ability to deliver innovative solutions. Magentic is dedicated to providing reasonable accommodations to job applicants with disabilities. If you require any adjustments during the recruitment process, please indicate this in your application or contact us directly.