Faculty Fellowship Programme, Faculty
Data Science, October 2026
Fellows are paid the London Living Wage for the full 8-week duration of the programme
More information about location
2+ days a week in office
Enabling clients to use cutting edge AI to improve the performance of their business
Posted today
Enabling clients to use cutting edge AI to improve the performance of their business
201-500 employees
Posted today
Fellows are paid the London Living Wage for the full 8-week duration of the programme
More information about location
2+ days a week in office
201-500 employees
Company mission
The safe, widespread adoption of AI.
Role
Who you are
- 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
- Location & logistics: You must be able to work in-person in London (UK) for the full duration of the eight week programme. Please note that Faculty does not provide accommodation or travel expenses to attend the programme
- If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours
What the job involves
- Artificial Intelligence is the most important technology of our age, but it is only valuable when it is applied in the real world - enhancing products, improving services, and saving lives. Since 2014, Faculty has helped 500+ 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 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 six-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
Application process
- Deadline to Apply: 7 July 2026 at 17:00 BST
- Please submit your application no later than Tuesday 7th July 2026 at 17:00 (BST). Early submissions have a significant advantage as we have more time to review them
- The coding test will take place in mid July 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
- The interviews will take place from end July / mid August 2026. We will interview candidates via Google Meet. Candidates will be notified about the interviews by email
- Regardless of the application outcome, you will be notified by Friday 4th Sept 2026 the latest
- The programme runs from Monday 5th October May to Friday 27th November 2026 (full-time, Monday to Friday)*
- Please note that the program dates are tentative and may be adjusted or postponed entirely. We will notify all applicants immediately should any changes occur to the dates or the program schedule. We appreciate your flexibility and understanding
Salary benchmarks
Our take
Foreseeing the AI boom as far back as 2014, Faculty was founded to ensure the technology could be implemented where it was needed most. A European leader in applied AI, Faculty helps its clients accelerate and execute their highest priorities, whether that be new drug development, bringing renewable energy online or defending against terrorist attacks. It works with organisations such as OpenAI and Anthropic to ensure their latest AI models are safe, human-led and explainable.
The PhD-heavy team has delivered long-term impact for important organisations across healthcare, communications and counter-terrorism and has published papers on AI safety alongside leading universities. As a major voice concerning the safe use of artificial intelligence, Faculty's CEO has sat on the government's AI council and was invited to the first-ever AI Safety Summit.
With 10% of the UK's science and maths PhD holders applying for Faculty's talent programme, it remains a major pioneer in the space. It's shaping how we think about and implement AI, and will continue to be a prominent figure in the sector.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 4 rounds)
Jan 2025
$3.9m
GRANT
Dec 2019
$10.5m
SERIES A
Total funding: $56.6m
Company benefits
- Dental cover - 100% of dental fees covered, up to £500, including checkups and hygienist.
- Optical Cover - 100% of the cost of prescribed glasses and contact lenses up to £300 a year.
- 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)
- We work hard and make sure we enjoy what we do. So we have frequent socials and informal get-togethers to help make sure you enjoy your time with us. You’ll make friends and professional connections that will last a lifetime
- Paid Maternity, Paternity, Adoption or Shared Parental Leave - we offer a progressive, gender neutral and generous parental leave policy here at Faculty. All parents are given 15 weeks leave at full pay in addition to statutory time off after 12 months of service.
Company values
- Grow the Best Team - Only hire people you’re convinced will make Faculty better. Take others’ development as seriously as your own. Build strong and collaborative teams
- Do Great Work - Master your craft. Take pride in your work, even when no one is watching. Demand the highest standards from yourself and others. Work hard, but do it sustainably
- Be Humble & Kind - Recognise that you’re always learning, and have something to learn from everyone. Always make the decision that is best for faculty, but treat people kindly as you do it
- Act with Integrity - Have the courage to maintain integrity even when it’s costly to do so. Demand this from others without hesitation
- Seek Truth - Seek the truth over winning the argument. Understand the root cause. Create an atmosphere in which the best idea succeeds, regardless of who or where it comes from.
- Maximise Impact - Care about the impact of your work. Find the thing that is most important to your customer. Design the best solution, not just what’s easiest or fashionable. Get it done fast. Make sure nothing falls through the cracks.
Company HQ
Old Street, London, UK
Articles
Leadership
Marc Warner
(CEO)Previously a Marie Curie Fellow in Physics at Harvard University, specialising in quantum sensing.
Andrew Brookes
(CTO)Previously a CTO at Hillgate and Vice President at BlackRock.
Angie Ma
(Co-Founder)Previously a Scientific Consultant at Bio Nano Consulting.
Diversity, Equity & Inclusion at Faculty
Angie Ma (Co-Founder)
- AI changes everything, and so must we to make sure our people reflect the real diversity of society. We believe that recruiting talent with diverse experiences, perspectives and backgrounds encourages people to think differently and be more creative
- We welcome difference whether it’s ethnicity, religion, age, gender, gender identity, sexual orientation or disability so please be yourself!
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