Faculty Data Science & Data Engineering Fellowship (September 2019)
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 more than 230 PhD graduates, post-doctoral researchers 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 200 guests. The evening 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.
You must have the right to work full time in the UK. 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:
- A PhD in a STEM subject.
- A high level of mathematical competence.
- The ability to code or have programming experience
- 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.
--------- TIMELINES ----------
- Please submit your application by 8pm GMT 30th May 2019. Early submissions have a significant advantage as we have more time to review them.
- We will start interviewing candidates via Skype in the four weeks after the closing date.
- Successful candidates will be notified via email on the during the week commencing 22th July 2019.
- The course starts on Monday 16th September 2019 and runs through to Friday 8th November 2019.
- You will need to be able to work in London for the duration of the course. Faculty does not provide accommodation.
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 training period. This means that each fellow will receive £2,025.60 for the total period. The two-weeks of training at the beginning of the Fellowship is free of charge for Fellows.