Job Detail

Football Data Scientist

3 weeks ago

Manchester United

11 Current Jobs Opening(s)

Job Description

The Purpose:

The Football Data Science department at Manchester United is responsible for ensuring all football data is organised, certified, enhanced and available on demand to help our experts make the best possible decisions in their complex and evolving fields.

We are dedicated to optimising decision-making processes on and off the pitch through the application of modern mathematical, statistical and algorithmic methods.  We collaborate with experts across the football function, supporting critical projects ranging from early talent identification to real-time analytics.

The Role:

Our Football Data Science department is on a path to develop into one of the best of any sporting team globally, and as part of an expansion we are currently recruiting for a number of Football Data Scientists.

As a Football Data Scientist at MUFC, you will:

  • Develop solutions using Data Science methods which contribute to solving football-related questions, across all of our teams: Men’s, Women’s and Academy.

  • Apply a range of Data Science techniques as appropriate including

    • Machine learning algorithms

    • Statistical and mathematical methods

    • Visualisation

    • Data story-telling

    • KPI development



  • Enhance decision-making processes for football experts who operate in information-heavy environments.

  • Write robust, reliable and reusable codebases for repeatable experimentation and data production.

  • Work closely with Data Operations to build and deploy well-documented models with automated testing and push-button scalability.


In return you will get to work on a set of high leverage, cutting edge projects which will have a huge influence on the future direction and success of the club, and by extension make millions of people around the world happy.  There are not many jobs which can say that, so we are looking for candidates who have the personality, ambition and skills to become the very best.

We are currently recruiting for both Machine Learning Scientists and Decision Scientists.  ML Scientists will work primarily on human-out-of-the-loop algorithms applying Data Science techniques to augment or summarise data at scale to solve significant, long-term problems.  Decision Scientists will work primarily to improve human-in-the-loop operational processes, collaborating closely with our football experts across the club to integrate Data Science into their daily work.  We welcome applications from candidates who have ambition to work in either area.

The Person:

While learning is part of a Data Scientist’s day job at Manchester United, we would love you to be able to bring:

  • Excellent mathematical and statistical knowledge, gained from a degree in a quantitative discipline or equivalent courses, or demonstrable practical equivalent

  • Excellent Python skills

  • Excellent general Data Science skills covering development of practical analytics applications to enhance established processes, data story-telling and KPI development

  • Experience in applying data science techniques to answer sports-related questions

  • Good understanding of software engineering principles, including test-driven development, CI/CD and version control.


In an ideal world you would also have:

  • Excellent SQL or similar data manipulation skills

  • Understanding of Bayesian and causal inference

  • Knowledge of cloud infrastructure and experience of working with data at scale

  • Experience of conducting code reviews

  • Experience collaborating with third parties, including academia, to solve problems collaboratively


Manchester United endeavour to respond to all job applications, however, please consider that we receive a high volume of applications, and this may not always possible.

Job Detail

Deadline11/18/2022
Job TypeFull time
QualificationsAcademy Experiance
LevelCommunity
SalaryUnknown
Location

Skills

ManagementAnalysisComputingPlanningTeamworkProblem Solving
SupportGet instant support
Support

Hello! 👋🏼 What can we do for you?

17:28