At a Glance
- Tasks: Apply AI and data science to solve real-world supply chain challenges.
- Company: Join Magentic, a leader in AI-driven procurement solutions.
- Benefits: Enjoy 25 days holiday, flexible work, and team socials.
- Other info: Hybrid work model with a focus on responsible AI development.
- Why this job: Make a tangible impact with cutting-edge AI technology.
- Qualifications: 3+ years in data science or a strong academic background.
The predicted salary is between 60000 - 80000 £ per year.
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
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)
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.
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.
Tech Data Scientist in London employer: Magentic
At Magentic, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and collaboration. Our London HQ offers a hybrid working model, generous benefits including enhanced parental leave and flexible social budgets, and ample opportunities for professional growth in the rapidly evolving field of AI. Join us to tackle real-world challenges while being part of a team that values your contributions and supports your development.
StudySmarter Expert Advice🤫
We think this is how you could land Tech Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and AI tooling. This will give potential employers a taste of what you can do and how you tackle real-world problems.
✨Tip Number 3
Prepare for interviews by brushing up on your Python skills and understanding the latest trends in AI and data science. Be ready to discuss your thought process when solving complex problems, as this is key for roles like the one at Magentic.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Tech Data Scientist in London
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI and data science shine through. We want to see that you’re genuinely excited about tackling complex problems and using LLMs to make a real impact in the procurement and supply chain space.
Be Specific About Your Experience:Don’t just list your skills; give us examples of how you've used Python, Jupyter notebooks, or AI tooling in your previous roles. We love seeing concrete instances where you've solved tricky operational challenges or built data workflows.
Tailor Your Application:Make sure to customise your application to reflect the job description. Highlight your experience with messy datasets and your ability to prototype quickly. This shows us that you understand what we’re looking for and that you’re ready to hit the ground running.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to keep track of your application and ensures you don’t miss out on any important updates. Plus, it makes the whole process smoother for everyone!
How to prepare for a job interview at Magentic
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially around LLMs and AI tooling. Be ready to discuss your hands-on experience with Python and how you've tackled messy datasets in the past. They’ll want to see that you can think critically about data and apply your knowledge to real-world problems.
✨Show Off Your Problem-Solving Skills
Prepare to share specific examples of how you've approached complex operational challenges. Think about times when the answers weren't obvious and how you used structured thinking to find solutions. This role is all about experimentation, so be ready to talk about your process and any innovative approaches you've taken.
✨Get Familiar with Their Mission
Dive into Magentic's goals and values, especially their commitment to responsible AI. Understanding their mission will help you align your answers with what they care about. You might even want to think of ways you can contribute to their vision of making supply chains more resilient through AI.
✨Ask Insightful Questions
Prepare some thoughtful questions to ask during the interview. This shows your genuine interest in the role and the company. You could ask about their current projects involving AI or how they envision the future of procurement workflows. Engaging in a two-way conversation can really set you apart from other candidates.
