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- Tasks: Transform your academic skills into real-world data science applications with hands-on projects.
- Company: Join Faculty, a leader in human-centric AI solutions with a collaborative culture.
- Benefits: Earn the London Living Wage, enjoy free training, and access ongoing career support.
- Why this job: Work alongside brilliant minds and make a tangible impact in the AI field.
- Qualifications: PhD or Master’s in STEM, programming experience, and strong mathematical skills required.
- Other info: Network with industry leaders and gain invaluable experience during the fellowship.
Faculty Fellowship Programme Data Science (January 2026)
Be among the first 25 applicants.
About Faculty
Faculty transforms organisational performance through safe, impactful and human‑centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy and fellows from our award‑winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with and learn from some of the brilliant minds who are bringing frontier AI to the frontlines of the world.
About The Fellowship
Artificial Intelligence is the most important technology of our age, but it is only valuable when it is applied in the real world. Since 2014, Faculty has helped 400+ PhD graduates, post‑doctoral researchers, masters and experienced software engineers transition into a career in data science through our Fellowship programme.
The Faculty Fellowship programme helps academics become highly‑skilled data scientists and machine learning engineers, transitioning successfully into careers and industries that are ready to benefit from artificial intelligence. After two weeks of intensive lectures and workshops, fellows learn how to apply their technical knowledge towards the application of data science, and are paired with project companies for a seven‑week data‑science project, during which they are paid the London Living Wage. The finale of the fellowship is Demo Day, where fellows present their work to an audience of 100+ guests and network with hiring managers and influential individuals from leading companies across London, the UK and Europe.
Requirements
- You must have the right to work full‑time in the UK. We cannot sponsor this role.
- PhD or Master’s in a STEM subject with some data science/machine‑learning experience.
- High level of mathematical competence.
- Programming experience, especially in Python.
- Familiarity with statistical learning concepts (e.g. hypothesis testing, Bayesian inference, regression, SVM, random forests, neural networks, NLP, optimisation).
- Experience with commonly used data‑science libraries.
- Strong communication skills.
- Ability to plan and meet self‑imposed deadlines.
Timelines
- Submit application no later than Wednesday 5th November 2025 at 17:00 GMT.
- Coding test in October 2025 (details via email).
- Interviews mid‑November 2025 via Google Meet (details via email).
- Decision communicated by January 9th 2026.
- Programme runs Monday 26th Jan – Friday 27th Mar 2026, full‑time, London. Dates are tentative and may change.
Benefits
- Paid London Living Wage for the full nine weeks.
- Two weeks of training at the beginning of the fellowship are free.
- Post‑programme alumni network and career support.
What We Offer
Faculty is a professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals across product development, operations, and more. We value deep intellectual curiosity and diversity of background.
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Faculty Fellowship Programme Data Science (January 2026) employer: Faculty
Contact Detail:
Faculty Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Faculty Fellowship Programme Data Science (January 2026)
✨Tip Number 1
Get your networking game on! Connect with current and past fellows on LinkedIn or at events. They can give you insider tips and might even refer you to opportunities.
✨Tip Number 2
Prepare for the coding test like it’s the final exam! Brush up on Python and data science libraries. Practise with real-world problems to show off your skills.
✨Tip Number 3
Nail your interview prep! Research Faculty and their projects, and think about how your background fits into their mission. Be ready to discuss your experiences and how they relate to AI.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Faculty Fellowship Programme Data Science (January 2026)
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your application to highlight how your skills and experiences align with the Faculty Fellowship Programme. We want to see how you can bring your unique background in data science to the table!
Showcase Your Skills: Don’t just list your qualifications; demonstrate them! Use specific examples from your past work or projects that showcase your programming experience, especially in Python, and your understanding of statistical learning concepts.
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured responses that get straight to the heart of what makes you a great fit for the fellowship. Avoid fluff and focus on what matters!
Apply Through Our Website: Remember to submit your application through our website. It’s the easiest way for us to keep track of your application and ensure it gets the attention it deserves. Don’t miss out on this opportunity!
How to prepare for a job interview at Faculty
✨Know Your Stuff
Make sure you brush up on your data science and machine learning concepts. Be ready to discuss your experience with Python and the libraries you've used. They’ll likely ask about statistical learning concepts, so have some examples from your past work or studies at the ready.
✨Showcase Your Communication Skills
Since strong communication is key for this role, practice explaining complex ideas in simple terms. You might be asked to present a project or explain a concept during the interview, so think about how you can make your explanations clear and engaging.
✨Prepare for Real-World Applications
Faculty is all about applying AI in real-world scenarios. Think of examples where you've applied your technical knowledge practically. Be ready to discuss how you would approach a data science project and the impact it could have on an organisation.
✨Be Ready to Discuss Deadlines
They value the ability to plan and meet self-imposed deadlines. Prepare to talk about how you manage your time and prioritise tasks, especially in high-pressure situations. Share specific instances where you successfully met tight deadlines in your previous work or studies.
