Faculty Data Science & Data Engineering Fellowship (Jan 2023)

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 390 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 Deliveroo and Babylon Health, to established FTSE 100 companies such as Lloyds and easyJet.

Requirements

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

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

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

--------- TIMELINES ----------

• Please submit your application by 21 October 2022, 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 first week of November.
• We will interview candidates via Google Hangouts. Candidates will be notified about the interviews by email.
• The interviews will take place in November/beginning of December 2022.
• There will be a technical test as part of the selection process, you will be notified by email with the instructions.
• Successful candidates will be notified via email by 30 December 2022.
• The course starts on Monday 30 January 2023 and runs through to Friday 24 March 2023.
• You will need to be able to work in London for the duration of the course. Faculty does not provide accommodation.

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 is 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.