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Data Scientist/Data Engineer (Cricket Analytics)

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Hybrid

Data Scientist/Data Engineer (Cricket Analytics)

CricViz

Data Scientist/Data Engineer (Cricket Analytics)

Skills

Google Cloud PlatformSQL QueriesData EngineeringDockerPythonData ScienceNumPypandasData AnalysisAWS

5 days ago

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Important information


Contract type:

Permanent

Location:

London, UK

Work mode:

Hybrid

Published on:

16 October 2026

What they need


About Summary

CricViz has established itself as a market leader in the collection, analysis, and dissemination of data across the world’s leading cricket competitions, maintaining 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. Our clients include the BBC, Sky, Sony, the ECB, and IPL-winning franchises like RCB.

About the Role

We are seeking a talented Data Scientist / Data Engineer with a passion for cricket to join the CricViz team in London. This role focuses on the hands-on development of proprietary metrics, data pipelines, and predictive models derived from high-frequency cricket tracking data.

In this role, you will bridge the gap between complex data processing and commercial analytics, converting rich tracking datasets into market-leading analytical products. You will combine quantitative modeling and data engineering best practices with a deep, nuanced understanding of the game of cricket to help answer complex performance questions for elite professional clients.

Key Responsibilities

  • Metric Development & Data Pipelines: Build and optimize end-to-end data pipelines and algorithms that transform raw ball-tracking and player-tracking data into high-value metrics (e.g., pitch behavior, expected runs/wickets, advanced fielding analysis).
  • Data Engineering & Productionisation: Support the scaling and productisation of predictive models and datasets, ensuring reliable integration into internal tools and client workflows.
  • Bespoke Client Deliverables: Collaborate with senior team members to deliver custom datasets, niche analytics, and predictive modeling for private clients across professional cricket, media, and gaming.
  • Model Validation & Testing: Conduct thorough testing, validation, and optimization of predictive models to maintain high accuracy and data integrity across all operational feeds.
  • Cross-Functional Collaboration: Partner closely with internal Product, Engineering, and Broadcast teams to ensure raw feeds and derived insights flow seamlessly into production systems.
  • Cricket & Betting Applications: Work on sports analytics across media, fantasy, gaming, and sports betting applications. Candidates should be comfortable operating in an environment where betting-related data and modeling form part of the commercial landscape.

Requirements

  • Education: Degree in Mathematics, Data Science, Computer Science, Statistics, or a related quantitative discipline.
  • Practical Experience: ~2 years of hands-on experience developing data pipelines and applying statistical/data science techniques in a professional or production environment.
  • Data Science & Engineering Skills:
  • Strong proficiency in Python and SQL .
  • Familiarity with the PyData stack (pandas, numpy, scikit-learn, XGBoost, or LightGBM).
  • Experience handling, querying, and structuring structured and semi-structured datasets.
  • Domain Knowledge: Deep understanding of cricket, match dynamics, and tactical nuances, with the ability to reason about how data models reflect real-game scenarios.

Desirable

  • Tracking Data: Exposure to working with high-frequency spatial, GPS, or tracking data.
  • Software Practices: Knowledge of modern software tools (Git, CI/CD, Docker, or cloud technologies like AWS/GCP).
  • Technical Communication: Ability to explain technical logic and metrics to non-technical stakeholders clearly.

Diversity & Inclusion

CricViz is committed to building an open and inclusive culture that supports personal development and continuous learning. As part of Ellipse, we believe in equal opportunity in employment regardless of race, colour, nationality, religion or belief, sex, sexual orientation, marital status, age, ethnic or national origin, disability, or gender reassignment.

Benefits

  • 25 days annual leave + bank holidays
  • Flexible hybrid working model with regular collaborative days at our London office
  • Company pension scheme
  • Life insurance & eye test contributions
  • Dedicated training and professional development budget

About Ellipse

CricViz is part of Ellipse, a global leader in sports data and analytics alongside FootballViz, Horse Racing, RugbyViz, and TennisViz. Working with the world’s leading broadcasters, teams, and rights holders, we simplify complex data to tell compelling stories about the sports we love.

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