We are seeking recent STEM graduates to join our Sports Operations team. The role will include skilled collection of the best possible data for many of the sports that we cover, as well as day to day management of several operational processes. Over time, this role will involve taking ownership of the data for individual sports, including developing and innovating internal processes. This is a time critical role as our data is tied to complex statistical modelling, often in real time.
Our story began in 1998 when Mark Dixon, a university statistics lecturer, decided to set up a one-man-band consultancy, offering statistical modelling and research services. Featuring near the top of a Yellow Pages listing was a priority at the time, and led to Mark opting for 'Advanced Training and Statistical Services,' or ATASS for short. Increasingly, his love of football led him to take on more and more sports-related work, and, by 2001, he and a handful of colleagues were working under the new identity of ATASS Sports.
Fast forward 15 years, and the company now boasts one of the largest commercial statistical research teams in Europe and is a leader in the field of the application of statistical modelling in sports. We have created and continue to develop a collection of statistical and mathematical models that allow sporting outcomes to be predicted with unparalleled accuracy
About where we work
ATASS Sports is based in Oxygen House; our award-winning offices in Exeter, we have a range of on-site facilities that are available to everyone in the Oxygen House team. There’s an outdoor all-weather pitch for netball, football and tennis, an on-site gym offering regular fitness classes, a pool table, a table tennis table and a café serving delicious, local, and organic food. We’re constantly organising events and activities to support our charities and to socialise. Our work is serious but we’re all about having fun while we do it!
An undergraduate degree in a STEM subject
An A-level or equivalent in Mathematics
Demonstrable interest in data analytics
An interest or involvement in a variety of sports
Experience working autonomously on projects
An ability to learn quickly
Experience in programming and learning/applying new programming languages, particularly R
Application Closing Date: Sunday 3rd March 2019
Office Interview: Tuesday 12th March 2019
For further information and to make an application click APPLY NOW.
Unfortunately, at this current time, we cannot accept applications that require sponsorship for an employment visa.