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 looking for a Data Scientist to help us 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.
This is not a traditional analytics or engineering role.
We’re looking for someone who enjoys working deeply with data, experimentation, AI tooling, and problem solving, someone comfortable using Python, notebooks, LLMs, and structured thinking to solve non-trivial operational challenges.
You’ll work on applying AI models and data science approaches to complex enterprise datasets, helping uncover insights, automate workflows, and prototype intelligent systems quickly. You don’t need to be a production software engineer, but you do need to be technically capable, thoughtful, and able to independently execute meaningful work.
Apply LLMs and AI tooling to operational and analytical problems at scale Build data workflows and experiments using Python and Jupyter notebooks Prototype and iterate quickly on AI-driven approaches Work closely with product, engineering, and founders on exploratory projects 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, etc.) Strong Python skills Familiarity with LLMs, AI tooling, or applied machine learning workflows Curiosity and enthusiasm for AI-native ways of working
Bonus Points: Experience with vector databases, embeddings, or retrieval systems Exposure to operational or enterprise data environments Compensation And Benefits
At Magentic, we recognise and reward the talent that drives our success. Enhanced parental leave~25 days holiday exc bank holidays, 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)~ Responsible AI Statement
At Magentic, we are committed to developing artificial intelligence that benefits humanity. We push the limits of AI’s capabilities and are dedicated to its responsible and safe deployment. Recognising the profound impact of AI, we ensure that its development is centred around human needs and safety, incorporating a wide array of perspectives to fulfil our mission.
Equal Opportunities and Accommodations Statement
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.
Magentic is dedicated to providing reasonable accommodations to job applicants with disabilities….