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FACULTY FELLOWSHIP

Kick-start your data science
career in just 8 weeks

The Faculty Fellowship gives the brightest STEM PhD and master’s graduates, and postdoctoral researchers the skills needed to progress from academia into data science jobs. Across an intensive eight-week fully funded placement, you’ll receive intensive training in both technical and commercial skills, and work on a data science project that has a real world impact.

Applications are open for our Spring 2023 programme

Add the full breadth of data science skills to your CV

With dedicated training sessions in data science, engineering and ‘soft’ business skills, we make sure that you hit the ground running in your next role.

Get training and mentorship from our own data science team

You’ll be mentored by the best minds in data science, a team that regularly deploys cutting-edge AI, from counter-terrorism to helping the NHS save lives.

Make your mark by working on a real data science project

In just two months, you’ll have delivered a data science project, whether for an established firm or a sparky start-up - and have been paid for it.

Host companies
95%+

of our fellows are hired by their host company after the Fellowship

5 weeks

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

1:1

mentorship from a technical and commercial mentor

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

Some Fellowship projects are still generating impact today

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Ready to reserve your spot on the next Fellowship?

Submit an application

We don’t have any specific entry requirements for the Faculty Fellowship. But we mainly look for PhD and master’s graduates, and post-doctoral researchers with some experience of programming, theoretical concepts of statistical learning and a high level of mathematical competence.

The coding challenge

If we think you’d be a good fit for the Fellowship, we’ll ask you to complete a coding challenge so we can assess your programming skills.

The interview

Once you’ve completed the coding challenge, a select few will be invited to an interview with our team, the final stage of the process before we offer places on the Fellowship.

FAQs

We run three fellowships a year: spring (starting January), summer (starting in May) and autumn (starting in September). 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.

Blog & latest insights

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Not ready to apply to the programme just yet? Register your interest for the next Faculty Fellowship and we will keep you up-to-date about about all you need to know.