At a Glance
- Tasks: Work with large datasets, apply AI tooling, and build data workflows using Python and Jupyter notebooks.
- Company: Magentic is focused on applying AI across procurement and supply chain workflows in London.
- Benefits: Enjoy a salary of £60-70k, 25 days holiday, and enhanced parental leave.
- Other info: Hybrid work model with WFH options and an annual team retreat.
- Why this job: Join a dynamic team to shape AI applications in real-world enterprise environments.
- Qualifications: 3+ years in data science or a strong academic background with 1-2 years industry experience required.
The predicted salary is between 60000 - 70000 £ per year.
Put your economist role in front of the right audience.
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.
You Might Be a Great Fit if You:
- 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.) combined with 1–2 years of industry experience.
- Experience working in Jupyter notebooks.
- Familiarity with LLMs, AI tooling, or applied machine learning workflows.
- Strong analytical and problem-solving ability.
- Comfort working independently on open-ended problems.
- Ability to work pragmatically rather than over-engineering solutions.
- Curiosity and enthusiasm for AI-native ways of working.
Bonus Points:
- 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.
Compensation And Benefits:
- Competitive Equity: play a real part in Magentic’s upside.
- A salary of £60-70k.
- 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).
- Annual team retreat—a fully-funded off-site to recharge, bond, and build.
Our Interview Process:
- Initial call (30 mins): this first step is an opportunity for you to hear more about Magentic and the role, and for us to learn more about how your experience aligns with the role.
- Skills interview (60 mins with some prep): in this step, we'll ask you to present some of your work to us and discuss it.
- In-person interview: for the final step, we invite you to come meet the team in-person and work alongside us! We find this is the best way for candidates to get a sense of what working at Magentic is like. This day will include a culture interview, a role-specific task and a discussion of your work with the team.
Data Scientist employer: Magnetic
Magentic offers competitive equity and a salary of £60-70k, alongside 25 days holiday plus bank holidays. Located in London, the team focuses on innovative AI solutions in procurement and supply chain, fostering a collaborative environment with regular social activities.
