What you’ll do
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Develop and improve the statistical and machine-learning methods behind our cricket models.
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Take ideas from exploratory analysis through to clear, well-tested production code, and review colleagues’ work.
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Use AI agents throughout your work, and help improve the team’s tools and workflows.
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Work closely with engineers and analysts to understand how your models perform in practice and where they could improve.
What we’re looking for
Ideally you’ll have
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A postgraduate degree (MSc or PhD) in statistics, maths, physics, computer science or another quantitative subject. Relevant industry experience will also be considered.
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An ability to identify problems and opportunities, develop your own ideas and take responsibility for seeing them through.
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Strong Python skills and familiarity with the standard data science stack (e.g. pandas, NumPy, scikit-learn, PyTorch), including experience writing production code.
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A solid grounding in probability, statistics, regression and model evaluation, and the judgement to question whether a result stands up to scrutiny.
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Hands-on experience with AI coding agents such as Claude Code, Codex or Cursor, including breaking down tasks, reviewing outputs and knowing when to challenge them.
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Good engineering habits, including Git, code review, testing and reproducible analysis.
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Clear communication, including the ability to explain modelling decisions to people who aren’t modellers.
Nice to have
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Experience with Bayesian modelling, such as hierarchical models in PyMC or Stan.
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Experience building or evaluating forecasting models or other predictive systems.
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Experience working with sports data or similarly noisy real-world data.
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Experience with C# or React.
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An interest in cricket, though you don’t need to be an expert.
Why join us
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Challenging modelling problems, with your work used directly in our prediction tools.
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A small team where you’ll have real ownership and a say in technical decisions.
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The opportunity to help improve how we use AI across the business.
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The tools you need to do your best work. If there’s hardware, software or an AI tool that would help, we’ll generally get it for you.
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A discretionary, performance-related bonus that has typically matched or exceeded base salary.
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Regular team socials, private healthcare and paid conference attendance.
