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 fun 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 in a dynamic environment.
- Qualifications: 3+ years in data science or a strong academic background in relevant fields.
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.
Compensation And Benefits
At Magentic, we recognise and reward the talent that drives our success. Enhanced parental leave, ~25 days holiday excluding 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 Thursdays and every other Tuesday, 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.
Data scientist (marketing) 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 Data scientist (marketing) in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Magentic. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving AI and Python. This will give you an edge when discussing your experience.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Be ready to tackle real-world scenarios and demonstrate how you’d apply LLMs and AI tooling to complex datasets.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people at Magentic. Plus, it shows you’re genuinely interested!
We think you need these skills to ace Data scientist (marketing) 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 supply chain space.
Tailor Your Experience:Make sure to highlight your relevant experience in data science and AI tooling. Use specific examples from your past work or studies that demonstrate your skills with Python, notebooks, and problem-solving. This helps us see how you fit into our team!
Be Clear and Concise:Keep your application clear and to the point. We appreciate well-structured writing that gets straight to the heart of your qualifications and experiences. Avoid fluff and focus on what makes you a great candidate for this role.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at Magentic!
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 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. Show enthusiasm for how AI can improve procurement and supply chain workflows, and be prepared to discuss how you can contribute to that vision.
✨Ask Insightful Questions
Prepare some thoughtful questions to ask during the interview. This could be about their current projects, the team dynamics, or how they envision the future of AI in their operations. Asking good questions shows your genuine interest in the role and helps you assess if it's the right fit for you.
