Faculty Fellowship - Data Science & Data Engineering (October 2023)

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Job Description

About Faculty

Faculty is one of Europe’s leading applied artificial intelligence companies. We build, deploy and operate AI solutions to increase our customers’ performance and help them realise their full potential.

We’re perhaps best known for ouraward winning COVID-19Early Warning System, that helped the NHS to manage critical supply chains during the pandemic. But our work with over 300 customers to date has delivered impact for customers right across the economy.

Faculty is at an exciting moment in our development as a business. We are launching Frontier; a market leading decision intelligence product, to sit alongside our more established consulting work.

This is an equally important time for the adoption of AI in society. Conversational AI (like GPT3) and Creative AI (like DallE and Stable Diffusion) have given a glimpse into the transformative potential of the next wave of this technology.

It is our belief that Decision AI will have impacts on a similar scale, and fundamentally change the way operational decisions are made in organisations.

Our objective is that in five years time, Frontier will be the leading software in Decision AI category.

About the Fellowship

Artificial Intelligence is the most important technology of our age, but it is only valuable when it is applied in the real world - enhancing products, improving services, and saving lives. Since 2014, Faculty (formerly ASI Data Science) has helped over 400 PhD graduates, post-doctoral researchers, masters and experienced software engineers transition into a career in data science through our fellowship programme.

The Faculty Fellowship programme helps academics and STEM post-graduates become highly-skilled data scientists and transition successfully into careers and industries that are ready to benefit from artificial intelligence. After two weeks of intensive lectures and workshops at Faculty, wherein fellows will learn how to apply their technical knowledge towards the application of data science, fellows are paired with project companies for a six-week data science project, during which fellows are paid the London Living Wage.

The finale of the fellowship is Demo Day. Fellows have the opportunity to present their hard work to an audience of over 100 guests. The event is a great chance to network with hiring managers and influential individuals from a wide range of businesses from London, the UK and Europe.

To make AI real, we help organisations work out what they could do with AI, and then help them to do it, and after completing the Faculty fellowship, our alumni have gone on to work for many leading companies; from tech giants like Google DeepMind, Amazon and Facebook, to the fastest growing startups like Babylon Health and Multiverse, to established FTSE 100 companies such as Lloyds and Tesco.


You must have the right to work full-time in the UK. The UK has left the EU. Visitwww.gov.uk to find out more. Unfortunately, we cannot sponsor this role, so please only apply if you have the right to work in the UK full-time. If this is on the basis of a visa, please provide details of your situation in your application.

In general, successful candidates meet most of the requirements below:

  • A finished PhD in a STEM subject or a Master's with some Machine Learning/Data Science experience.
  • A high level of mathematical competence.
  • The ability to code or have programming experience, especially in Python.
  • Some experience with theoretical concepts of statistical learning (e.g. hypothesis testing, Bayesian Inference, Regression, SVM, Random Forests, Neural Networks, Natural Language Processing, optimisation).
  • Experience with some coding libraries frequently used in data science.
  • The ability to communicate effectively with different audiences.
  • Experience composing and following a project plan/sticking to self-imposed deadlines/proactively solving your own problems.


  • Please submit your application by 9 June 2023, 5 pm GMT. Early submissions have a significant advantage as we have more time to review them.
  • Regardless of the application outcome, you will be notified by the end of June.
  • We will interview candidates via Google Hangouts. Candidates will be notified about the interviews by email.
  • The interviews will take place in July/August 2023.
  • There will be a technical test as part of the selection process, you will be notified by email with the instructions. We encourage you to learn Python as it is the programming language used in the programme.
  • Successful candidates will be notified via email by the end August 2023.
  • The course starts on Monday 2 October 2023 and runs through to Friday 24 November 2023.
  • You will need to be able to work in London for the duration of the course. Faculty does not provide accommodation.

Fellowship Benefits

Fellows are paid London Living Wage for four days a week for the duration of their six-week project, commencing after the initial two-week free training period. This means that you will receive £2,121 for the total period (based on the rates at the time of publishing this application). The two weeks of training at the beginning of the fellowship are free of charge to you.

After the programme, the fellows are welcome to join our free online community where all the fellowship alumni discuss data science news, techniques, conferences and much more. Faculty provides career support to the graduated fellows - once you are part of our professional family, we will be delighted to keep in touch and help you succeed in your data science career.

Company Info.


We build and deploy safe AI systems that combine the best of human and artificial intelligence to help our customers achieve exceptional performance.

  • Industry
    Artificial intelligence,Computer software
  • No. of Employees
  • Location
    London, UK
  • Website
  • Jobs Posted

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