CricViz has established itself as a market leader in the collection, analysis and dissemination of data across the world’s leading cricket competitions, with the largest and most sophisticated database in world cricket. Our work spans several verticals, including Performance Analysis, Broadcast and Media, and Fantasy and Gaming platforms. Customers include the BBC, Sky, Sony, ECB, and IPL-winning RCB.
We are seeking a highly skilled Data Scientist to join the CricViz team. This pivotal role focuses on the end-to-end development of proprietary metrics and predictive models derived from the world’s most sophisticated cricket databases.You will lead the transformation of complex, high-frequency tracking data into market-leading, commercial-grade analytical products. Your work will empower sophisticated professional clients by surfacing match state insights and player performance indicators not captured by conventional analysis.The ideal candidate will combine strong data science and quantitative modelling skills with deep cricketing knowledge and an ability to reason about the game in detail. We value cricket understanding highly: the ability to identify meaningful questions, interpret match states and understand what drives player and team performance is fundamental to developing useful analytical products.
Responsibilities
- 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.
- Cricket & Betting Applications: Develop analytical products and predictive models that may be used across the cricket, media, fantasy, gaming and sports betting sectors. Candidates should be comfortable working in a professional environment where betting-related applications of data and modelling are part of the commercial landscape.
Requirements
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
Equality & diversity
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.
- Hybrid working with regular time spent at our offices in London
- Company pension scheme
- Eye Test Contribution
- Life Insurance
- Training and Development Opportunities
About Ellipse
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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