Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- 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 while gaining invaluable experience and career support.
- Other info: Network with industry leaders and access post-programme 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 with data science experience and strong programming skills.
The predicted salary is between 2000 - 2500 ÂŁ per month.
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.
Faculty Fellowship Programme Data Science (January 2026) in London 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) in London
✨Tip Number 1
Get to know the company! Research Faculty and their projects. Understanding their mission and values will help you tailor your conversations during interviews and show that you're genuinely interested in being part of their team.
✨Tip Number 2
Network like a pro! Attend events, webinars, or meetups related to AI and data science. Connecting with current fellows or alumni can give you insider tips and might even lead to a referral. Remember, it’s all about who you know!
✨Tip Number 3
Practice makes perfect! Prepare for coding tests by brushing up on your Python skills and familiarising yourself with data science libraries. Use platforms like LeetCode or HackerRank to sharpen your problem-solving abilities before the big day.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, keep an eye on deadlines and set reminders so you don’t miss out on this fantastic opportunity!
We think you need these skills to ace Faculty Fellowship Programme Data Science (January 2026) in London
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 Technical Skills: Don’t hold back on showcasing your programming experience, especially in Python, and any familiarity with data science libraries. We’re looking for candidates who can hit the ground running, so let us know what you’ve got!
Communicate Clearly: Strong communication skills are key! When writing your application, be clear and concise. We want to understand your journey and how you plan to contribute to our mission at Faculty.
Apply Through Our Website: Remember to submit your application through our website by the deadline. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves!
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 skills to solve problems. Be prepared to discuss how you would approach a data science project and what methodologies you would use.
✨Be Ready to Discuss Your Learning Journey
They want to see your intellectual curiosity! Be prepared to talk about how you've continued to learn and grow in the field of data science. Mention any courses, workshops, or projects that have helped you develop your skills, especially those related to AI and machine learning.