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faculty fellowship

Fast track your graduate data science career

Want to join our next fellowship?

Applications for February 2022 are now open

Apply here

Develop your data science skills and get first-hand industry experience in eight weeks.

Making the leap from academia to real-world data science? Through industry placements, intensive training and one-to-one mentoring, the Faculty Fellowship helps masters and PhD STEM graduates fast-track their job search.

98%

of fellowship alumni are in employment

5-10%

of UK physics, maths and engineering PhD students apply

300+

fellows in our fellowship alumni network

Become a paid member of a data science team

Spend six weeks working in-house at one of our host companies, helping them deliver a real AI project.



Learn career-building skills

Kick off your fellowship with two weeks of intensive training in technical skills and the soft skills that hiring managers look for.

Make industry connections

Present the results of your fellowship project to an exclusive audience of hiring managers and industry experts on Demo Day.

Apply to the February 2022 programme
Our customers
Faculty helped me bridge the gap between innovation, complex computational methodology and day-to-day application. I acquired expert skills which I utilised during my project with a world-leading data company.
Dimitris - PhD Computational Neurosciences, King’s College London
From database structure to cutting-edge deep learning, the fellowship has given me the skills and knowledge to launch my career in data science and begin to realise its transformative potential.
Robert - PhD Cell Biology, University College London
The fellowship was an incredible experience and a definite stepping stone in my path towards a career in data science, providing me with a way to strengthen and demonstrate my skills in a challenging and supportive environment.
Isabelle - PhD Linguistics, University of Cambridge

find out more

FAQs

We run four fellowships a year: spring (starting January), summer (starting in May) and autumn (starting in September and October). Applications close three or four months before the next fellowship begins.

If you’d like to be reminded when applications open – and get more news on the Faculty Fellowship – you can sign up to our mailing list below.

Generally, our fellows are drawn from two groups: PhD and masters graduates looking to transition out of academia, and experienced software engineers looking to move into data science.

  • However, the most vital qualifications for becoming a Faculty Fellow are:
  • Knowledge of the scientific method.
  • Knowledge of probability, linear algebra, multivariate calculus and statistical principles (particularly model/hypothesis validation).
  • Some experience of coding in Python (or other relevant data science-related coding languages).
  • A drive to do work that has a measurable, positive impact on organisations and society.

So if you don’t have a PhD, masters, or software engineering background, but you do have other relevant experience that demonstrates these qualities, we’d still love to hear from you.

We don’t have a precise number of years of work experience in mind, but fellows should be able to demonstrate significant programming experience. Experience in maths or statistics is a plus, but not essential.

The Faculty fellowship is intended to be a stepping stone to a new career, so we ask that applicants be available to start a job in London after the fellowship. If you’d like to join the Faculty Fellowship after your PhD or job wraps up, we’d encourage you to stay in touch by signing up for our mailing list below.

If you’d like to be reminded when applications open – and get more news on the Faculty Fellowship – you can sign up to our mailing list below.

Fellows receive two weeks of intensive lectures and workshops from experts in our Faculty data science team. The curriculum covers a wide variety of machine learning techniques, databases, distributed computing, data visualisation and a range of business skills. Following this, fellows begin a six-week project with one of our partner companies, solving a real business problem using data science and/or data engineering. Each fellow is assigned a Faculty mentor, who offers advice and guidance on both technical and commercial issues.

Unfortunately, Faculty cannot sponsor this role.  If you have recently completed a PhD in the UK you may be eligible for a doctoral extension. We can also provide letters confirming your employment if this will help with visa applications.

To find out more about what Faculty can do for you and your organisation, get in touch.

If you’re interested in finding out more about how Faculty can help you transition to AI independence, get in touch.

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