Who you are

• You must be able to work in-person in London (UK) for the full duration of the nine week programme. Please note that Faculty does not provide accommodation or travel expenses to attend the programme
• A finished PhD or Master's in a STEM subject with some data science/machine learning experience
• A high level of mathematical competence
• The ability to code or have programming experience, especially in Python
• Some experience with theoretical concepts of statistical learning (e.g. hypothesis testing, Bayesian Inference, Regression, SVM, Random Forests, Neural Networks, Natural Language Processing, optimisation)
• Experience with some coding libraries frequently used in data science
• The ability to communicate effectively
• Experience composing and following a project plan/sticking to self-imposed deadlines
• If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please do apply or reach out to our Talent Acquisition team for a confidential chat

What the job involves

• 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 at Faculty, wherein fellows will learn how to apply their technical knowledge towards the application of data science, fellows are paired with project companies for a seven-week data science project, during which fellows are paid the London Living Wage
• The finale of the fellowship is Demo Day. Fellows have the opportunity to present their hard work to an audience of 100+ guests. The event is a great chance to network with hiring managers and influential individuals from a wide range of businesses from London, the UK and Europe
• After completing the Faculty Fellowship, our alumni have gone on to work for many leading companies; from tech giants like Google, Microsoft and Meta, to the fastest growing startups like PhysicsX and Orbital Witness, to established FTSE 100 companies such as AstraZeneca and Tesco to name a few

The application process

• Deadline to Apply: March 4, 2026 at 5:00 PM UTC
• Please submit your application no later than Wednesday 4th March 2026 at 17:00 (GMT). Early submissions have a significant advantage as we have more time to review them
• The coding test will take place in early March 2026. Candidates will be notified about the coding test via email
• Following this, we are piloting a short video-based communication task for some candidates. This is used to refine our selection data and help you demonstrate the communication skills needed to be successful in the programme. Participation will not override the technical benchmarks required for an interview

Benefits

• Hybrid working: We believe people have needs, responsibilities and interests that require something different to a strict working day. We trust people to organise and take accountability for their own work and do our best to support their lives outside Faculty.

We provide you with all you need to work from home, including a laptop, keyboard and chair.

• Unlimited holidays: We encourage each other to use this time to take a break, work on personal projects, or to spend time with their friends and family
• Fantastic private health, for you & your family - including 24/7 unlimited virtual private GP appointments and covering pre-existing medical conditions
• Access to mental health coaching with Sanctus
• Lunch weekly, and more fruit, drinks and snacks than you could ever eat (for office-based employees)