Research Statistician

Job description

Location: Oxygen House, Exeter, Devon

Term: Permanent – Full Time

Salary: Competitive + Excellent Company Benefits

Application Deadline: Sunday 31st October 2021

Assessment days: November 2021


About the Role

We are seeking experienced researchers to join our sports modelling teams.

Successful applicants will work at the leading edge of sports modelling, helping us to continue to develop our models and techniques, in order to enhance understanding of the complex relationships inherent in competitive sports. 


About Us

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 20 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!  


Essential Qualifications and Skills:

  • Undergraduate degree in a numerate subject with an interest in statistics
  • Postgraduate degree (PhD) or postgraduate level research experience
  • Experience working autonomously on research projects
  • Ability to quickly learn and apply new statistical and computational techniques
  • Understanding of probability in relation to sporting outcomes
  • Interest or involvement in a variety of sports
  • Experience in programming

Recruitment Process:

Closing date for applications - Sunday 31st October 2021

Assessment days - November 2021 

Unfortunately, at the current time, we cannot accept applications that require sponsorship for an employment visa.