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.
of our alumni are now
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mentorship from a technical and commercial mentor
Become a paid member of a data science team
Spend six weeks working in-house at one of our host companies and gain project-based experience.
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 valuable industry connections
Showcase the results of your fellowship project to an exclusive audience of hiring managers and industry experts on Demo Day.
What kind of projects could you work on?
See more Faculty Fellowship alumni present their commercial data science projects on our Youtube channel.
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.
Register your interest for the next Faculty Fellowship