
11 - 50 employees
⚽ Sports
🎲 Gambling
🤝 B2B
Sports • Gambling • B2B
Pythia Sports is a data-driven sports analytics and wagering services firm founded in 2014 that builds proprietary predictive models and automated trading and risk-management systems for betting operators and private clients worldwide. The company provides automated risk management (ARM), algorithmic trading, data acquisition and processing, and machine-learning-based performance prediction, including a bloodstock (racehorse) analytics offering. Pythia works closely with a small number of institutional clients to deliver pricing, execution software, and ongoing global trading operation support.
🕒 November 9, 2025
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11 - 50 employees
⚽ Sports
🎲 Gambling
🤝 B2B
Sports • Gambling • B2B
Pythia Sports is a data-driven sports analytics and wagering services firm founded in 2014 that builds proprietary predictive models and automated trading and risk-management systems for betting operators and private clients worldwide. The company provides automated risk management (ARM), algorithmic trading, data acquisition and processing, and machine-learning-based performance prediction, including a bloodstock (racehorse) analytics offering. Pythia works closely with a small number of institutional clients to deliver pricing, execution software, and ongoing global trading operation support.
• Develop and conduct statistical analysis of predictive models for a cricket prediction pipeline • Uncover trends in multiple sports datasets • Build and maintain data-driven predictive models • Research and apply novel modelling techniques • Build and maintain model validation metrics to regularly track performance
• Multiple years experience in a team-leading role utilising advanced statistics and modelling techniques – preferably in a sporting context • PhD or equivalent industry experience with data • Strong programming skills, with a preference for Python • A long and proven track record of using data to solve complex problems • Experience working with cloud computing (desirable)
• Private health and dental insurance • Cycle to work scheme • Enhanced paternity and maternity leave • Enhanced sick pay • 36 days holiday total allowance • Exciting development opportunities
Apply Now🕒 November 4, 2025
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