At a Glance
- Tasks: Transform industries using cutting-edge data science in a fast-paced, real-world environment.
- Company: Join an elite tech community focused on innovation and impact.
- Benefits: Earn the London Living Wage, receive expert training, and gain valuable mentorship.
- Other info: Fully in-person programme in London with unrivalled networking opportunities.
- Why this job: Accelerate your career in AI while solving high-stakes challenges for real clients.
- Qualifications: PhD or Master’s in STEM, strong data science skills, and entrepreneurial mindset required.
The predicted salary is between 20000 - 25000 £ per year.
About the role
As a Fellow at Faculty, you will join an elite cohort transforming industries through cutting‑edge data science. This intensive, eight‑week programme bridges academia and real‑world impact, embedding you directly into high‑stakes commercial environments. You will apply advanced machine learning techniques to solve complex, ambiguous problems for our clients, turning theoretical knowledge into high‑value deployable solutions. It is a fast‑paced launchpad designed to accelerate your technical growth, build exceptional commercial acumen, and empower you to shape the future of artificial intelligence in an ambitious, forward‑thinking tech community.
Who we're looking for
- Education: completed PhD or Master’s degree in a STEM subject with a strong foundation in data science or machine learning.
- Mathematical Competence: strong background in hypothesis testing, Bayesian inference, and neural networks.
- Programming Skills: proficient in Python and comfortable with core data science libraries.
- Entrepreneurial Mindset: resilience, autonomy, ability to structure projects and meet deadlines.
- Communication: ability to explain complex technical ideas clearly to both technical and non‑technical audiences.
- Drive: thrive in fast‑paced, ambitious environments and show curiosity for new technologies.
Requirements
- Right to Work: we are unable to offer visa sponsorship. You must hold full‑time UK right to work.
- Location & Logistics: fully in‑person, eight‑week programme based in London. You must be able to commute daily; no accommodation or travel support provided.
What the Fellowship offers
- Fully Paid: earn the London Living Wage for the full eight weeks.
- Expert‑Led Training: two weeks of immersive lectures followed by weekly Friday masterclasses bridging theory and commercial data science.
- Dedicated Mentorship: ongoing support from experienced Faculty practitioners to develop technical, commercial, and communication skills.
- Real‑World Value: a dedicated six‑week placement embedded in a business, tackling a high‑stakes data science challenge.
- Career Launchpad: proven pathway into industry across tech, startups, and FTSE 100, backed by a decade of experience.
- Unrivalled Networking: access to a community of 500+ alumni and the opportunity to present at Demo Day before 100+ industry guests.
Our Recruitment Ethos
We aim to grow the best team, not the most similar. We know that diversity of individuals fosters diversity of thought, strengthening our pursuit of truth. We’re united by deep intellectual curiosity and a desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions, and sexual orientations.
Faculty Fellowship Programme - Data Science - October 2026 in London employer: Faculty
At Faculty, we pride ourselves on being an exceptional employer that fosters a dynamic and inclusive work culture. Our Faculty Fellowship Programme offers unparalleled opportunities for professional growth through expert-led training, dedicated mentorship, and real-world experience in the heart of London. Join us to be part of a forward-thinking tech community where your contributions will directly impact the future of artificial intelligence.
StudySmarter Expert Advice🤫
We think this is how you could land Faculty Fellowship Programme - Data Science - October 2026 in London
✨Join Data-Science Meetups
Get yourself along to local data-science meetups or workshops. They're goldmines for networking, and you'll learn from industry pros who might just point you in the direction of internships. Plus, discussing the latest trends with like-minded individuals can really amp up your game.
✨Utilise University Career Services
Check in with your uni's career services since they often have connections with companies looking for interns. They might even organise information sessions with firms, which can be a great chance for you to learn more about potential internships and make some key contacts.
✨Show Off Your Stuff on GitHub
If you're into data science, having a GitHub profile with your projects is essential. Make sure your portfolio is public and showcases your best work! Recruiters love to see your coding skills and problem-solving approach, and it’s a brilliant way to stand out.
✨Apply Directly on Our Website
Don’t forget to check out the internships listed on our site! It's always a good idea to apply directly through our website because it makes your application easier for our team to find, and you might just catch the hiring manager’s eye by showcasing exactly what you're passionate about in data science.
We think you need these skills to ace Faculty Fellowship Programme - Data Science - October 2026 in London
Some tips for your application 🫡
Show Off Your Technical Skills:For a data science internship, we want to see those analytical skills shine! List your programming languages, like Python or R, and make sure to highlight any relevant projects or courses you've completed. If you've dabbled with tools like Pandas, NumPy, or machine learning algorithms, don’t hold back – include those in your CV!
Share Your Curiosity in Your Cover Letter:As an intern, your motivation and eagerness to learn are key! In your cover letter, talk about specific data science concepts that excite you and how this internship at Faculty will help you grow. Share what you hope to achieve and how you plan to tackle real-world data problems - we love enthusiasm!
Include Any Relevant Certifications:If you've earned any certifications, such as from Coursera or DataCamp, make sure to include these in your application. They show us that you're proactive and committed to expanding your data science skillset. This could make a real difference in how we assess your application!
Keep It Relevant and Concise:Remember, as an intern, you don’t need to have decades of experience. Focus on showcasing relevant coursework, personal projects, or even related volunteer work in data science. Keep your CV and cover letter concise but impactful – we appreciate clear and straightforward communication!
How to prepare for a job interview at Faculty
✨Brush Up on Your Coding Skills
As a data science intern, you might get grilled on your programming skills. Expect to tackle some coding challenges using languages like Python or R. We recommend practising basic algorithms or data manipulation tasks so you can show off your tech skills with confidence.
✨Show Off Your Projects
Prepare to discuss any projects you’ve done, whether in your studies or on your own time. Having a strong portfolio of data analyses or machine learning models will really set you apart. We can use platforms like GitHub to showcase your work to impress Faculty.
✨Know Your Stats and ML Basics
Brush up on your statistics and machine learning concepts because interviewers love to dig into this! Be ready to explain your understanding of algorithms or how you would approach a given data problem. This will highlight your theoretical background alongside your practical skills.
✨Be Eager to Learn and Adapt
Internships are all about potential and growth. Make sure you convey your eagerness to learn and adapt to new tools or methodologies. Show Faculty that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
