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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.
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 humanâcentric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy and fellows from our awardâwinning 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 will 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, postâdoctoral researchers, masters and experienced software engineers transition into a career in data science through our Fellowship programme. The Faculty Fellowship programme helps academics become highlyâskilled 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 sevenâweek dataâscience 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 fullâtime in the UK. We cannot sponsor this role.
- PhD or Master's in a STEM subject with some data science/machineâlearning 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 dataâscience libraries.
- Strong communication skills.
- Ability to plan and meet selfâimposed deadlines.
Timelines
- Submit application no later than Wednesday 5th November 2025 at 17:00 GMT.
- Coding test in October 2025 (details via email).
- Interviews midâNovember 2025 via Google Meet (details via email).
- Decision communicated by January 9th 2026.
- Programme runs Monday 26th Jan â Friday 27th Mar 2026, fullâtime, 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.
- Postâprogramme alumni network and career support.
What We Offer
Faculty is a professional challenge of a lifetime. You will 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 Harrow on the Hill employer: Faculty
Contact Detail:
Faculty Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Faculty Fellowship Programme Data Science (January 2026) in Harrow on the Hill
â¨Tip Number 1
Network like a pro! Attend events, webinars, or meetups related to data science and AI. It's all about making connections with people who can help you land that dream fellowship.
â¨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and machine learning. This will give you an edge when chatting with potential employers.
â¨Tip Number 3
Practice makes perfect! Brush up on your coding skills and statistical concepts before the coding test. Use platforms like StudySmarter to get familiar with the types of questions you might face.
â¨Tip Number 4
Apply through our website! Itâs the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and eager to join our community.
We think you need these skills to ace Faculty Fellowship Programme Data Science (January 2026) in Harrow on the Hill
Some tips for your application đŤĄ
Show Your Passion for AI: When writing your application, let your enthusiasm for artificial intelligence shine through. We want to see how you connect with the mission of Faculty and how you envision contributing to the world of data science.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for this specific fellowship. Highlight your relevant experience in STEM, data science, and any programming skills, especially in Python. We love seeing how your background aligns with our goals!
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to describe your experiences and skills. We appreciate well-structured applications that make it easy for us to see why youâd be a great fit for the programme.
Apply Through Our Website: Donât forget to submit your application through our website! Itâs the best way for us to receive your details and ensures youâre considered for this exciting opportunity. We canât wait to hear from you!
How to prepare for a job interview at Faculty
â¨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. Theyâll likely ask about statistical learning concepts, so have some examples from your past work or studies at the ready.
â¨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.
â¨Prepare for the Coding Test
Donât forget that thereâs a coding test coming up! Brush up on your coding skills, especially in Python. Practise common algorithms and data structures, and consider working through some sample problems to get comfortable with the format.
â¨Be Ready to Discuss Your Projects
Think about the projects youâve worked on that relate to data science. Be prepared to discuss your role, the challenges you faced, and how you overcame them. This will show your problem-solving skills and your ability to apply your knowledge in real-world scenarios.
