Football Data Scientist - Hybrid Role, Elite Performance

Singular Recruitment; England; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A leading recruiting firm is looking for a Data Scientist to work with a prestigious football club in the UK. The role involves designing and deploying data models to impact various decision-making areas within the club, such as recruitment, performance analysis, and strategy. Candidates should have over 3 years of experience, strong skills in Python and machine learning, and an understanding of football analytics. This position offers a flexible hybrid working model with opportunities for career growth.

Benefits

Flexible hybrid working model

Access to high-value datasets

Opportunity to grow within a digital-first team

Qualifications

• 3+ years of industry experience as a Data Scientist, plus a strong academic foundation.
• Experience with a variety of ML techniques: regression, classification, clustering, time-series forecasting.
• Proven ability to productionise models, including building and deploying APIs.

Responsibilities

• Develop and apply statistical models and algorithms to analyse player performance.
• Collect, clean, and process football-related data from diverse sources.
• Build clear, compelling visualizations and deliver insights to stakeholders.

Skills

Advanced proficiency in Python

Statistical & Machine Learning Modelling

Strong visualization and communication skills

Familiarity with football-specific datasets

Tools

Pandas

NumPy

scikit-learn

Keras

PyTorch

Job description

A leading recruiting firm is looking for a Data Scientist to work with a prestigious football club in the UK. The role involves designing and deploying data models to impact various decision-making areas within the club, such as recruitment, performance analysis, and strategy. Candidates should have over 3 years of experience, strong skills in Python and machine learning, and an understanding of football analytics. This position offers a flexible hybrid working model with opportunities for career growth.