Graduate Statistician / Mathematical Modeller

Job description

Location: Oxygen House, Exeter, Devon

Term: Permanent, Full Time

Salary: Competitive + Excellent Benefits


Start Date: Autumn 2020

Application Deadline: Sunday 26th January 2020


About the Role

We are seeking highly motivated individuals to join our research team. Successful applicants will work within new and established multi-skilled teams to develop novel statistical and mathematical models with applications to sports analytics, including probabilistic forecasting of future events.


About Us

Our story began back 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 the Yellow Pages listings was a priority at the time and led to Mark opting for the name “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 21 years, and the company now boasts one of the largest commercial statistical research teams in Europe and is a leader in the field of applying statistical and mathematical modelling to sports. We have created and continue to develop a collection of state-of-the-art models that allow sporting outcomes to be predicted with unparalleled accuracy.


About Oxygen House

ATASS Sports is based at Oxygen House, our award-winning headquarters in Exeter, where 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, a gym offering regular fitness classes, a café serving delicious local and organic food, and a break-out area for playing table tennis, darts, pool and table football. We’re also constantly organising events and activities throughout the year to socialise as a team and to support our charities. Our work is serious business - but we’re all about having fun while we do it.


Requirements

Essential Criteria

  • You should be a recent graduate or currently in the final year of an undergraduate degree in mathematics, statistics, physics, or a closely related subject, expecting to achieve a First or 2:1.
  • An ability to solve problems and to quickly learn and apply new mathematical and computational techniques.
  • An understanding and appreciation of probability in relation to sporting outcomes.

Desirable Criteria

  • Previous experience in programming / computational mathematics (e.g. R, Python, MATLAB).
  • A masters-level qualification in mathematics, statistics, physics, or a closely related subject. (Individuals with a PhD-level qualification should apply for our “Research Statistician” role instead.)


Recruitment Process:

Closing date for applications - Sunday 26th January 2020

Completion of online testing - Sunday 9th February 2020

First stage assessment - Various dates in February / March 2020

Final stage assessment - Various dates in March 2020


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