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UEFA

Competitions Data Scientist

UEFA
Switzerland · Full-time · Entry
Job information

Division/Unit: Football Division/Club Competitions

Contract type: Permanent

Start date: 01.04.25 or as soon as possible

Application deadline: 27.02.2025

Main goal

The UEFA Football Division is seeking a passionate Data Scientist with expertise in spatial analytics to join our team. You will use advanced algorithms and data analysis to enhance decision-making and drive innovation in on-pitch and off-pitch football research. We’re looking for a self-starter with a deep enthusiasm for football and a commitment to advancing our data insights. If you’re excited about cutting-edge football analytics, we want to hear from you.

Key Responsibilities

  • Leading and contributing to innovative research in football analytics, exploring new methods and technologies to advance our understanding of on-pitch actions, the development of competitions and off-pitch trends
  • Overseeing the collection, cleaning and organisation of complex data sets to ensure scalable data pipelines, accuracy and usability for analysis
  • Working closely with team members and stakeholders to translate data findings into clear, actionable recommendations and to support data-driven strategies
  • Designing and implementing advanced algorithms and analytical models to extract actionable insights from on-pitch and off-pitch football data
  • Leading external agencies with the delivery of advanced analytics projects and integrating the methods for replication internally
  • Contributing to the evolution of the Unit in charge of the strategic development of the competitions. Performing quantitative analysis and developing mathematical tools and statistical models
  • Supporting the head of the Unit to build presentations to make the use of the data comprehensive for the end users.

Requirements

Experience

  • At least 4 years of experience in data science using R and/or Python, preferably with sports or performance data
  • Experience with visualisation tools like Tableau or Dataiku is a plus; prior work with a sports organisation is an additional asset

Education:

  • Academic background in statistics, data science, sports analytics or a related field

Languages:

  • English: Proficient

Other requirements:

  • Knowledge of European football
  • Proficiency in Python for data manipulation and preparation, using Pandas, NumPy and Scikit-learn, with experience in spatial analytics and skeletal data using GeoPandas and Shapely
  • Expertise in data manipulation, preparation, and sports-specific modelling techniques
  • Familiarity with APIs, AWS (S3) and relevant data repositories
  • Knowledge of SQL or Snowflake is a plus

Key Skills

Ranked by relevance

python data analysis tableau pandas numpy sql aws s3
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Country Guide

Switzerland

Very high salaries and premium quality of life

Posted
Feb 17, 2025
Type
Full-time
Level
Entry
Location
Nyon
Company
UEFA

Industries

Spectator Sports

Categories

Analyst

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