ASI Fellowship FAQs


The next Fellowship begins on Monday 14th January 2019. Applications are now open. We run three Fellowships a year: Spring (beginning January), Summer (beginning May), and Autumn (beginning September) with applications closing about 3-4 months before the start date. Contact us at the bottom of this page for future updates.

We offer two entry routes into the Fellowship. One route is aimed at PhDs and post-docs, and the other at experienced software engineers who want to move into data science. However, we review each case individually so exceptional candidates without a PhD or a background as a software engineer are encouraged to apply.

We don’t have strict requirements based on years of work experience, but Fellows should be able to demonstrate significant programming experience. Maths and stats experience are a plus but not essential.

The Fellowship is intended to be a stepping stone to a new career, so we ask that applicants be available to start a job in London after the Fellowship. We encourage you to finish your PhD and look us up when you're thinking about finishing.

The Fellowship is intended to be a stepping stone to a new career in, so we ask that applicants be available to start a job in London after the Fellowship. If you're interested in finding out more about data science and engineering, we suggest you come to our Data Science Labs Meetups.

We review applications approximately 7 weeks before the start of the programme. Please expect to hear from us around this time.

We send out offers to approximately 10% of candidates.


ASI is a world leader in data science consulting, education and data innovation. As businesses realise the importance of using data to drive growth and stay competitive, ASI is at the forefront of using data to make better decisions. Be it running the UK’s most prestigious data science fellowship, or helping some of the most well known companies in the UK solve their data science problems, the scope of our mission is beyond that of a traditional startup.

We are a startup on a mission. As physicists, computer scientists and economists, we saw many very talented people struggle to find jobs after their PhDs, only to excel once they got a foot in the door. The ASI Fellowship exists because it is an opportunity that we wished was available when we were finishing our PhDs. This is a simple market failure – companies cannot afford to take a chance on candidates that come from backgrounds they are not well equipped to assess. The ASI Fellowship takes candidates and provides them with the knowledge, opportunity and mentorship necessary to create a body of work that is business-relevant. This adds value to the candidates, and creates a no-lose proposition for our partner businesses. We believe this generates real economic value and allows everyone to succeed.

Course Content

Project are assigned based on mutual preferences expressed by both the Fellows and the companies participating in the Fellowship. A networking event is organised at the beginning of each Fellowship with the aim of finding a good match for each Fellow.

Fellows receive 2 weeks of intensive lectures and workshops from experts from our ASI Data Science Consultancy 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 an 8-week project with one of our partner companies, solving a real business problem using data science and/or data engineering. Each Fellow is assigned an ASI mentor who they can turn to for advice and guidance.

This is the time to present your project you’ve worked on during the Fellowship to hundreds of potential hiring companies. Make the most out of it! You can see videos from previous demo day presentations on the Fellowship page.

Python is the most widespread language in data science and it is important you become comfortable working in Python before the course. Learning to store and query large databases in a standard format is also fundamental to becoming a data scientist, so understanding a version of SQL and some database theory will also help you. A good understanding of statistics is equally important to help you understand the concepts we cover in Machine Learning.


Fellows are paid the London living wage for the days they spend working with their project companies (4 days a week for 6 weeks). Since ASI do not charge for the training Fellows receive, this means that each Fellow will receive £1958.40.

The Fellowship is based in central London. Apart from taking classes and working with your project companies, the Fellowship consists of many different interesting talks, activities and social events. Staying in London allows our fellows to make the most of the experience. However, we have had Fellows commute from nearby, and as from as far away as Cambridge.

We are not directly involved in finding accommodation for our Fellows. We are more than happy to recommend websites to help you in your search.


No! We are very careful to put the fellows best interests first and if the company suits you, then great. Otherwise we'll support you wherever you want to go.

Fellows can expect to be interviewed by many companies towards the end of the Fellowship. We will help our Fellows to be the best candidates in the market.

Unfortunately the ASI cannot sponsor VISAs. If you have recently completed a PhD in the UK you may be eligible for a doctoral extension. We can also provide letters confirming your employment if this will assist in VISA applications from some countries.

We do not currently work with companies internationally - 95% of our partners are based in the UK. Nonetheless, we work with big firms who have offices around the globe.

Unfortunately, we do not finalise the list of participating companies until shortly before the Fellowship starts. The list of companies varies from cycle to cycle. We have worked with companies in almost every sector. We recommend browsing past projects and presentations to get an idea of companies we’ve worked with.

Next Fellowship

May 2019

Applications are open until 8pm GMT 4th February 2019


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