Graduate Data Scientist – Football Analytics & ML (London)

Football Radar; City of Westminster; Hybrid; GBP 30,000 - 45,000; Full time

Job summary

A leading football analytics company is seeking a Graduate Data Scientist for its Prediction Team. This role involves enhancing predictive models, researching new methods, and developing production-ready solutions. Candidates should have a solid understanding of predictive modelling and machine learning, along with Python proficiency. The position requires collaboration with a team while encouraging individual idea development. The company offers a flexible working environment, prioritizing collaboration for at least 4 days a week in the office. Benefits include bonuses, generous holiday, and health perks.

Benefits

Half yearly bonus opportunities

33 days holiday

Matched pensions contribution

Private Medical Insurance

Health Cash Plan via Bupa

Subsidised gym membership

Daily subsidised office meals

Learning and development budgets

Company engagement activities

Qualifications

• Completing a STEM Bachelor's, Master's, or PhD by Summer 2026.
• Solid understanding of predictive modelling and machine learning concepts.
• Familiar with various predictive modelling techniques and tools.
• Comfortable collaborating and sharing ideas across teams.
• Proficient in Python for data analysis.

Responsibilities

• Enhance existing predictive models and research new methods.
• Turn insights into production-ready solutions.
• Work collaboratively with data scientists, developers, and analysts.
• Develop own ideas while contributing to team objectives.

Skills

Predictive modelling

Machine learning

Probability theory

Python for data analysis

Collaboration

Education

Bachelor's, Master's, or PhD in a STEM subject

Tools

Monte Carlo simulation

Bayesian modelling

Kalman filters

GLMs

Time series forecasting

Job description

A leading football analytics company is seeking a Graduate Data Scientist for its Prediction Team. This role involves enhancing predictive models, researching new methods, and developing production-ready solutions. Candidates should have a solid understanding of predictive modelling and machine learning, along with Python proficiency. The position requires collaboration with a team while encouraging individual idea development. The company offers a flexible working environment, prioritizing collaboration for at least 4 days a week in the office. Benefits include bonuses, generous holiday, and health perks.