Pythia Sports

Product Manager

• Support the Chief Product Officer by taking responsibility for some key day-to-day project execution
• Take full ownership of high-impact initiatives already in development
• Support iterative enhancements to our fully managed trading service
• Work with two agile dev squads (~3 developers + 1 back-end each)
• Translate well-defined specs into actionable tickets
• Run key ceremonies
• Keep velocity transparent
• Join client calls from week one to ensure exposure to clients’ needs and wants
• Own a subset of our project delivery from hand-over to go-live—scope clarification, backlog grooming, sprint admin, acceptance testing, and release coordination
• Author detailed Jira tickets and maintain a healthy backlog; ensure devs understand requirements and edge cases
• Run stand-ups (5 min, three times a week), story-point estimation, and create/close sprints; produce velocity and burndown reports
• Verify solutions against spec, flagging deviations early and driving fixes
• Weekly checkpoint with the CPO to surface risks and propose course corrections
• Participate in client calls from week one; over time, own selected client relationships end-to-end
• Support continuous improvement of our agile processes; bring an eye for metrics and an appetite for tweaking ceremonies
• Champion UX quality —provide quick wireframes or prototypes (Figma, V0, etc.) or brief designers appropriately.

Product Owner

Data Scientist

• Have a deep understanding of the data, its limitations and meaning, including the investigation of data validity.
• Build and analyse data-driven predictive models.
• Research and apply novel modelling techniques.
• Select or build model validation metrics to evaluate model performance.
• Have awareness of the limitations of any model output.
• Have an understanding of statistical robustness and validity.

Data Science Intern

• 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

Product Owner

Data Science Intern

Senior Data Scientist – Cricket