Data Scientist (Sports Analytics)

Singular Recruitment Careers; Greater London; On-site; GBP 45,000 - 60,000; Full time

Job summary

A leading sports data consultancy in Greater London is seeking a Data Scientist specializing in sports analytics with an emphasis on football. You will utilize advanced data science techniques to analyze football-related data, providing insights for performance analysis and recruitment. This role offers the chance to impact the future of sports through data-driven decisions, ideal for those passionate about football and analytics. Join a dynamic team committed to delivering innovative solutions.

Qualifications

• Expertise in data science techniques with a focus on sports analytics.
• Strong analytical skills to derive actionable insights.
• Passion for football and understanding of the game's dynamics.

Responsibilities

• Analyze football data to uncover performance insights.
• Build models to profile teams and players.
• Develop metrics for player evaluation.

Skills

Advanced data science techniques

Statistical analysis

Football analytics

Modeling and framework development

Job description

Data Scientist (Sports Analytics | Football Focus)

Were excited to be partnering with a new client a rapidly growing sports data consultancy that is extending its Data Science team.

This is a fantastic opportunity to join a business at the cutting edge of football analytics, where raw data is transformed into actionable insights that drive smarter, evidence-based decisions for clubs, organisations, and partners.

With a clear focus on football, youll be delivering innovative data science solutions that support performance analysis, recruitment, and strategic planning. The team combines technical excellence with a genuine passion for the game, ensuring insights are both rigorous and impactful.

If youre someone who loves football and wants to push the boundaries of how data can shape the sports future, this is the role for you.

Key Responsibilities

• Apply advanced data science techniques to analyse football data and uncover insights on performance and tactics.
• Build models and frameworks to profile teams and players identifying styles of play, strengths, and weaknesses.
• Develop new metrics to evaluate players (e.g. efficiency in ball retention, progressive passin...