At a Glance
- Tasks: Transform complex cricket data into innovative metrics and predictive models.
- Company: CricViz, a leader in cricket data analysis with top-tier clients.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Fast-paced environment with exciting projects and career advancement potential.
- Why this job: Join a dynamic team and revolutionise cricket analytics with your data skills.
- Qualifications: Experience in data science and strong problem-solving abilities required.
The predicted salary is between 50000 - 70000 £ per year.
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 is an experienced Data Scientist/Quantitative Analyst with strong problem-solving skills, capable of working professionally within an evolving and fast-paced environment.
Key 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
Data Scientist employer: CricViz
CricViz is an exceptional employer located in Greater London, offering a dynamic work environment where innovation thrives. With a strong focus on employee growth, the company provides extensive training and development opportunities, ensuring that you can advance your skills while working on cutting-edge cricket analytics. The hybrid working model promotes a healthy work-life balance, making it an ideal place for passionate data scientists to contribute meaningfully to the world of sports analytics.
