Data Scientist (Football Club)

Overview

Data Scientist role at Singular Recruitment in London, England, United Kingdom. This position offers a unique opportunity to combine technical challenges with creativity in a collaborative, high-standard work environment. You’ll have the chance to work with and collaborate with some of the most well-known footballers in the industry.

This role offers significant opportunities for professional growth within sports analytics and the potential to impact sports performance through advanced technology.

Base pay

Direct message the job poster from Singular Recruitment

Key responsibilities

• Collect, clean, and process football-related data from various sources.
• Develop and implement statistical models and algorithms to analyze player performance and match outcomes.
• Create detailed reports and visualizations to communicate insights and recommendations to technical and non-technical stakeholders.
• Collaborate with football analysts, coaches, and other stakeholders to understand their needs and provide actionable insights.
• Stay updated with the latest trends and advancements in sports analytics and data science.

What you’ll bring

• 3+ years industry experience in a Data Science role and a strong academic background
• Python Data Science Stack: Advanced proficiency in Python, including Pandas, NumPy, scikit-learn, and Jupyter Notebooks.
• Statistical & ML Modelling: Strong foundation in statistical analysis and experience applying machine learning techniques (e.g., regression, classification, clustering, time-series forecasting). Practical experience with Keras or PyTorch is required.
• Full-Stack Deployment: Experience taking models to production, including building and deploying APIs.
• Visualization & Communication: Ability to create clear visualizations and effectively communicate technical findings to non-technical stakeholders.

Highly desirable skills

• Football Analytics Domain: Experience with football datasets (event, tracking, etc.) and visualization libraries like mplsoccer.
• Advanced MLOps & Modelling: Experience with Vertex AI lifecycle (especially Pipelines) and modelling techniques relevant to football (e.g., player valuation, tactical analysis).
• Bayesian Modelling: Experience with probabilistic programming (e.g., PyMC).
• Stakeholder Management: Proven success working directly with business stakeholders to define and deliver impactful solutions.

What They Offer

• Work that impacts elite football performance and club-wide success
• Access to real-world sports data and performance analytics
• Flexible working options (hybrid/remote depending on role)
• Opportunity to grow with a digital-first team inside a world-renowned club

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Software Development

London, England, United Kingdom