Sports Scientist

Full-time @Leicester Tigers in Sport Science , in Strength & Conditioning
  • Leicester, England, United Kingdom
  • Post Date : May 9, 2024
  • Apply Before : May 21, 2024
  • 4 Application(s)
  • View(s) 271
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Job Description

Main area of responsibility:

To provide insights into transfer of practice, player injury risk management and re-conditioning to help optimise team performance (via a blend of quantitative data, i.e. primarily GPS, and quantitative information).

Key Tasks:

  • To develop workflows to clean, manipulate and merge data sets
  • To perform ETL (extract/transform/load) tasks using data preparation tools
  • To build practical, user-friendly reports/dashboards to visualize pertinent objective data and subjective information
  • To provide regular feedback on data insights to coaches and support staff
  • To provide match day support to coaches and players to every Senior Team home and away games
  • To carry out any other duties and tasks required by management, which are within the post-holder’s capabilities
  • To assist in Tiger’s vision to become the best rugby club in the world

Key Skills: (D=Desirable E=Essential)

  • Ability to report and communicate data insights clearly and concisely to coaches and support staff with varying backgrounds (E)
  • Ability to provide contextual meaning to data (E)
  • Effective time management and prioritization skills (E)
  • Excellent ability to work within a team and independently (E)
  • Ability to learn new technical skills quicky e.g. advanced statistical methods (multivariate analysis) (D)
  • Proficient with data preparation and performing ETL tasks (D)
  • Proficient at using data preparation and visualisation tools (E) (experience working with Tableau is desirable)

Qualifications and experience: (D=Desirable E=Essential)

  • Degree or equivalent in Sports Science in a quantitative field: Computer/Data science, engineering or mathematics with a keen interest in sport (E)
  • Significant experience in Sports Science or mathematics with a keen interest in sport (D)
  • Significant experience of working in elite sport as a Sports Scientist within an inter-disciplinary team (D)
  • Experience developing standard operating procedures for reproducible processes e.g. GPS, including sparse and/or noisy data sets (D)

How to apply

Please download an application form from our website, and send this completed by 5PM, Tuesday 21 May 2024.

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