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.
The Faculty Fellowship has been recognised as an outstanding
training and skills development programme with the Princess
Royal Training Awards standard of excellence. Read more
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
the Faculty’s calendar: Demo Day.
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.
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.
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.
Some of our host companies
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
“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.”
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.”
Chief Operating Officer, CGnal
See more Faculty Fellowship alumni present their commercial data science projects on our Youtube channel.
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.
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 October). Applications close three to 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.
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:
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.
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. We’d be happy to provide letters confirming your employment if this will help with visa applications.