Football Analytics Specialist

3 weeks ago


London, Greater London, United Kingdom Singular Recruitment Full time
Singular Recruitment

A forward-thinking football club is committed to integrating advanced analytics and data-driven insights to gain a competitive edge. They are seeking a highly skilled Mathematician with expertise in data modelling to join their analytics team.

The ideal candidate will have a strong background in mathematical modeling, statistical analysis, and proficiency in working with large datasets. In this role, you'll develop predictive models, analyze complex datasets, and provide actionable insights to coaching, scouting, and management teams.

The estimated salary for this position is $85,000 per year, based on industry standards and the required skills and qualifications. This figure may vary depending on factors such as location, experience, and performance.

This role offers a unique opportunity to combine your passion for mathematics and football in a dynamic, challenging environment with a team that values innovation.

You will be responsible for developing and implementing mathematical models to evaluate and predict player performance, team dynamics, and game outcomes. You will also analyze large datasets to identify trends and patterns that can support recruitment, game strategy, and performance enhancement.

The successful candidate will have a PhD in Mathematics, Statistics, Data Science, or a related field. Proficiency with data science and statistical software such as Python, R, or MATLAB is also essential. Experience with data visualization and communication of complex findings is desirable.

Key Responsibilities:
  1. Develop and implement mathematical models to evaluate and predict player performance, team dynamics, and game outcomes.
  2. Analyze large datasets to identify trends and patterns that can support recruitment, game strategy, and performance enhancement.
  3. Collaborate with the data science, coaching, and scouting teams to translate data-driven insights into on-field strategies.
  4. Utilize advanced statistical techniques and machine learning algorithms to forecast player development and injury probabilities.
  5. Build and maintain predictive models to support talent identification and acquisition strategy.


Requirements:
  • PhD in Mathematics, Statistics, Data Science, or a related field.
  • Proficiency with data science and statistical software such as Python, R, or MATLAB.
  • Experience with data visualization and communication of complex findings.
  • A passion for football and a desire to innovate within the sports analytics space.


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