● Metric Innovation: Research and develop new, high-value derived metrics from raw ball and player tracking data, such as pitch behavioural characteristics and advanced fielding analysis.
● Bespoke Client Collaboration: Act as the lead technical point of contact for private clients, working to develop custom predictive models and niche datasets tailored to their specific analytical requirements.
● Productisation of Data: Translate raw tracking data into productionised Data Science models that provide a clear commercial advantage.
● Model Assurance & Validation: Oversee rigorous back testing and optimisation cycles to ensure all models maintain the high level of accuracy and reliability required for professional-grade execution.
● Cross Functional Integration: Work closely with Engineering and Product teams to ensure seamless delivery of these complex feeds into client workflows, while maintaining the integrity of our internal IP.
Technical Grounding: Degree in Mathematics, Data Science, Computer Science, or a related quantitative field with a strong grounding in machine learning and statistics.Practical Experience: Proven track record (2+ years) of applying data science methods as part of end-to-end pipelines (feature engineering, model training, deployment, validation) to solve complex real-world problems in a professional environment.Programming Fluency: Strong programming skills in Python and SQL plus specific proficiency with the PyData stack (pandas, numpy, scikit-learn, XGBoost, LightGBM)Domain Knowledge: A strong understanding of cricket and the factors influencing match state outcomes (win probability, expected metrics like xR/xW)
● Tracking Data Experience: Prior experience working with high-frequency tracking or GPS data to create aggregated, value-add insights.
● Strategic Communication: Ability to translate highly technical modeling concepts into clear commercial value propositions for sophisticated stakeholders.
● Discretion & IP Management: Experience working in sensitive commercial environments where protecting proprietary modeling work is paramount
CricViz is committed to building an open and inclusive culture that supports personal development and learning. Ellipse believes in the principle of equal opportunity in employment and its employment policies for recruitment, training, development and promotion despite any differences based on individual grounds of race, colour, nationality, religion or belief, sex, sexual orientation, marital status, age, ethnic and national origin, disability or gender reassignment.
● 25 days holiday (plus bank holidays)
● Hybrid working with regular time spent at our offices in London
● Company pension scheme
● Eye Test Contribution
● Life Insurance
● Training and Development Opportunities
CricViz is part of Ellipse, a leading sports data and analytics company comprising CricViz,
FootballViz, Horse Racing, RugbyViz (Oval and Stuart Farmer Media Services), and TennisViz.
Working with the world’s biggest broadcasters, professional teams, and rights holders, we
simplify complex data to engage a broad and diverse audience and tell better stories about the
sports we love.
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