Data Scientist
Actively Hiring
Full-time $70k Posted about 2 months ago
Role overview
- check_circle Work with large, messy, real-world enterprise datasets
- check_circle Apply LLMs and AI tooling to operational and analytical problems at scale
- check_circle Build data workflows and experiments using Python and Jupyter notebooks
- check_circle Run and analyse large-scale queries and model outputs
- check_circle Prototype and iterate quickly on AI-driven approaches
- check_circle Work closely with product, engineering, and founders on exploratory projects
- check_circle Translate ambiguous problems into structured investigations and solutions
- check_circle Help shape how AI is applied across procurement and supply chain workflows
- check_circle Have 3+ years of hands-on experience in data science, applied AI, analytics, or similar work
- check_circle 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
- check_circle Strong Python skills
- check_circle Experience working in Jupyter notebooks
- check_circle Familiarity with LLMs, AI tooling, or applied machine learning workflows
- check_circle Strong analytical and problem-solving ability
- check_circle Comfort working independently on open-ended problems
- check_circle Ability to work pragmatically rather than over-engineering solutions
- check_circle Curiosity and enthusiasm for AI-native ways of working
- check_circle Experience applying LLMs to real-world datasets
- check_circle Experience with vector databases, embeddings, or retrieval systems
- check_circle Exposure to operational or enterprise data environments
- check_circle Background in highly analytical disciplines such as medicine, physics, maths, or engineering
Benefits
- check_circle Competitive Equity: play a real part in Magentic’s upside
- check_circle A salary of £60-70k
- check_circle Enhanced parental leave
- check_circle 25 days holiday exc bank holidays, plus an extra day for our Christmas shutdown
- check_circle In-office lunches provided
- check_circle Monthly organised socials and an additional flexible monthly social budget for team lunches, coffees, dinners, or activities with colleagues
- check_circle Salary sacrifice pension and nursery schemes
- check_circle Hybrid London HQ (WFH Thurs and every other Tues, with flex if you have appointments etc)
- check_circle Annual team retreat—a fully-funded off-site to recharge, bond, and build
- check_circle 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.
- check_circle 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.
- check_circle 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.
About the company
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.
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.
Tags & Focus Areas
Fulltime Remote Ai Data Science Robotics Generative Ai