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.
We are currently accepting applications to our Summer 2023 programme (starting in May).
Apply to be a fellow
Break into the competitive job market withexpert-led training and work experience
The Fellowship begins with a two-week intensive training course, led by data science experts
and commercial managers. You’ll have access to a range of cutting-edge data science tools and
best practices, which you’ll then apply to a six-week placement with one of our host companies.
At the end of the placement, you’ll get the chance to present what you’ve achieved to
industry experts at one of the biggest events in Faculty’s calendar: Demo Day.
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.
The Fellowship doesn’t just set you up for your first data science job; it unlocks lifelong career opportunities
The data science industry has never been so competitive. But what we provide is an opportunity to crack the data science industry with the requisite skills and impressive work experience.
You will have access to our exclusive alumni community that’s brimming with over 300 ex-fellows who are already making waves in data science. You’ll network with industry leaders, uncovering new career paths well into the future.
The Faculty Fellowship gives you the expertise, confidence and credentials needed to secure your dream data science job.
of our fellows are hired by their host company after the Fellowship
is the average time it takes for a fellow to secure a job
mentorship from a technical and commercial mentor
And then there’s the real benefits of being a fellow
Unlimited pizza and beer
Work from our super-swanky
Cash your first data science
The chance to banter with the
best in data science
Go behind the scenes of Europe’s
leading AI company
Beef up your LinkedIn with contacts
from your host company
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.
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.
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.
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.