Statistical Modeller – Cricket | London (Hybrid)
A specialist in sports analytics is seeking a mathematically-minded individual to help design predictive models for cricket matches. This is a hands-on role for someone who combines deep cricket knowledge with strong analytical intuition.
Key Responsibilities:
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Build and iterate statistical models for match prediction
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Interpret sport-specific nuances to inform modelling decisions
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Communicate insights to both technical and non-technical teams
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Contribute to coding standards and collaborative development
Ideal Candidate Profile:
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Sound understanding of cricket, its players, and global formats
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Skilled in Python, SQL, and statistical methods (e.g., regression, ensemble techniques, time series)
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Pragmatic problem solver with a bias for action
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Interest in betting/prediction markets
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Senior candidates may take on project leadership and strategic input
Nice to Have:
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Previous experience in sports or betting analytics
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Familiarity with cloud platforms (e.g., AWS)
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Solid collaborative coding practices
Package Highlights:
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Biannual performance bonuses
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33 days holiday
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Matched pension contributions
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Private medical, health cash plan, subsidised meals and gym
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Development budget and regular social events
Location: London-based - Hybrid setup with one WFH day per week.
Remote applications not considered at this time.
