A Statistician handles vast quantities of data on sport. There is a diverse need for Statisticians within sport. Betting companies use them to set odds for sporting fixtures, data companies use them to aid Performance Analysers, media outlets use them to provide information for articles and sports clubs may also call on their services to assess potential signings. Essentially, a Statistician uses data to model sporting events. Much of their work is generated on their own initiative. They can expect to write plenty of code and carry out a great deal of research, often using sophisticated algorithms.
DID YOU KNOW?
The ‘Moneyball’ theory, popularised in American baseball, is beginning to make an impact on sport. Football such as Brentford are working closely with Statisticians to improve the club’s overall performance in recruitment, player development and on-field results. However, the industry is still relatively new. It’s expected to grow considerably over the next decade.
An undergraduate degree of 2:1 or above is essential. This should have been achieved in Maths, Statistics or Physics. A Masters degree and PhD are also beneficial.
Experience in programming languages is desirable. The ability to learn and adapt new computational techniques is essential – demonstrating past instances helps set any applicant apart from the competition. They should have previously developed and implemented statistical models and worked with regional databases.