At a Glance
- Tasks: Work with real-world datasets and apply AI to solve complex problems.
- Company: Join a dynamic team at Magnetic, where innovation meets collaboration.
- Benefits: Enjoy competitive salary, equity, generous holiday, and fun team socials.
- Other info: Flexible hybrid work model and annual team retreats for bonding and recharging.
- Why this job: Make an impact in AI-driven projects and shape the future of procurement.
- Qualifications: 3+ years in data science or strong academic background with industry experience.
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 in London employer: Magnetic
Magentic is an exceptional employer that fosters a collaborative and innovative work culture, particularly for Data Scientists looking to make a significant impact in the AI and analytics space. With competitive compensation, generous benefits including enhanced parental leave and a flexible hybrid working model, employees are encouraged to grow and thrive while enjoying a supportive environment in the heart of London. The company also prioritises team bonding through monthly socials and an annual retreat, making it a rewarding place to develop your career.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Magnetic!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Scientist at Magnetic.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Magnetic.
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist at Magnetic, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Scientist in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Magnetic, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Magnetic. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Magnetic
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Magnetic!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
