At a Glance
- Tasks: Dive into data and AI to solve real-world supply chain challenges.
- Company: Join Magentic, a pioneering tech company transforming procurement with AI.
- 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 using cutting-edge AI in a dynamic environment.
- Qualifications: 3+ years in data science or a strong academic background in relevant fields.
The predicted salary is between 70000 - 90000 £ 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 AIs 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.
Marketing Data Scientist employer: Magentic
At Magentic, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to tackle complex challenges in AI and data science. With a strong focus on professional growth, we offer extensive opportunities for learning and collaboration, alongside competitive benefits such as enhanced parental leave, generous holiday allowances, and a flexible hybrid working model from our London HQ. Join us to be part of a mission-driven team that is shaping the future of procurement and supply chain workflows while enjoying a supportive environment that values diversity and inclusion.
StudySmarter Expert Advice🤫
We think this is how you could land Marketing Data Scientist
✨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 a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Python, LLMs, and AI tooling. This is your chance to demonstrate how you tackle real-world problems.
✨Tip Number 3
Prepare for the interview by diving deep into Magentic's mission. Understand their approach to AI in supply chains and come ready with ideas on how you can contribute.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Marketing Data Scientist
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let your enthusiasm for AI and data science shine through. We want to see how you’ve engaged with these fields, whether through projects, research, or personal interests. Make it clear why you’re excited about the opportunity at Magentic!
Tailor Your Experience:Don’t just list your skills; connect them to the job description! Highlight your experience with Python, LLMs, and any relevant projects that demonstrate your problem-solving abilities. We love seeing how your background aligns with our needs.
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language and avoid jargon unless it’s relevant. We appreciate a well-structured application that makes it easy for us to see your qualifications and fit for the role.
Apply Through Our Website:Make sure to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re serious about 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 Python and LLMs. Be ready to discuss your past projects and how you've tackled messy datasets. They’ll want to see your problem-solving skills in action!
✨Show Your Curiosity
Magentic is looking for someone who’s genuinely curious about AI and its applications. Prepare some thoughtful questions about their current projects or challenges they face in the supply chain space. This shows you’re not just interested in the role, but also in the company’s mission.
✨Demonstrate Your Experimentation Mindset
Be ready to talk about how you approach experimentation with data. Share examples of how you've built workflows or prototypes in the past. Highlight your ability to iterate quickly and learn from failures—this is key in a fast-paced environment like theirs.
✨Connect with Their Values
Familiarise yourself with Magentic's commitment to responsible AI. Think about how your values align with theirs and be prepared to discuss this during the interview. Showing that you care about the ethical implications of AI can set you apart from other candidates.