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FACULTY FELLOWSHIP

Fast track your graduate data science career

The Faculty Fellowship is designed to give the brightest STEM graduates and postdoctoral researchers the skills they need to transition from academia into data science roles. Across an eight-week, fully funded placement, you will receive intensive hands-on training and guidance in both technical and commercial skills.

Hone your data science skills and get first-hand industry experience

The fellowship will begin with a two-week intensive training course, led by industry experts and commercial managers. You will have access to a range of cutting-edge data science tools and best practices, which you’ll then put into practice through a six-week fully paid placement at one of our host companies. At the end of the placement, you will get the chance to present what you have achieved to industry experts.

98%

of our alumni are now
working in data science

5 weeks

is the average time it takes
for a fellow to secure a job

1:1

mentorship from a technical and commercial mentor

Our customers
Faculty provided a crash course in the skills I needed to succeed in industry, in an incredibly welcoming environment. It jumpstarted my data science career and I recommend it to every PhD who asks me about transitioning to industry.
Archy de Barker Head of Data & Machine Learning, Carbon Chain
Taking part in the Fellowship was one of the best professional decisions that I've ever made as it helped me transition to data science and I haven't looked back since. Since completing the Faculty Fellowship, I've worked in finance, real estate, maritime analytics and sustainability tech.
Lyudmila Lugovskaya Lead Data Scientist, Sustained
Faculty was a landmark in my professional path and has represented the most important milestone in my career shift, transitioning from academia to a data science role. The Fellowship was very effective at providing necessary technical and soft skills as well as the confidence to be a successful data scientist.
Enrico Deusebio Chief Operating Officer, CGnal

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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.

Register your interest for the next Faculty Fellowship