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Data Scientist - Bayesian

Role Overview

Pythia Sports are looking for a creative thinking and experienced person to join their established in-house modelling team as a Data Scientist specialising in Bayesian modelling and simulation. The purpose of the role is to develop and conduct statistical analysis of predictive models for a horse racing prediction pipeline.

Most of Modelling team are currently working hybrid.

  • Additional pay: Bonus scheme
  • Schedule: Monday to Friday
  • Education: PhD (preferred)


  • 28 days + Bank Holidays leave
  • Purchase up to 5 extra days of holiday/year
  • Casual dress
  • Company events
  • Cycle to work scheme
  • Flexible schedule
  • Private medical insurance
  • Optical and Dental cover
  • Generous paternity and maternity leave
  • Referral programme
  • Company sick pay
  • Work from home/office

Data Scientist - Bayesian

  • Have a deep understanding of the data, its limitations and meaning, including the investigation of data validity
  • Build and maintain Bayesian-driven predictive models
  • Research and apply novel Bayesian modelling techniques
  • Develop and maintain model validation metrics to regularly track and evaluate performance
  • Understand and communicate the limitations and uncertainty of any model output
  • Ensure the statistical robustness and validity of all models

Key Skills / Qualifications

  • Experience utilising advanced Bayesian statistics and modelling techniques – preferably in a sporting context
  • PhD or equivalent industry experience in data science, statistics, or a related field
  • Proficiency in Bayesian inference techniques such as Markov Chain Monte Carlo (MCMC), Gibbs sampling, or variational inference
  • Experience with Bayesian software packages (e.g., Stan, Turing.jl, PyMC3, JAGS)
  • Ability to interpret and communicate probabilistic results to non-technical stakeholders
  • Strong programming skills, with a preference for (but not limited to) Matlab, Python and R
  • A long and proven track record of using data to solve complex problems
  • Knowledge and interest in sports is beneficial
  • Experience working with cloud computing (desirable).
Want to work with Pythia?