Data Science Intern for sports prediction at Pythia Sports, developing and conducting statistical analysis of predictive models. Collaborating with teams to drive innovative sports modelling solutions in a hybrid work environment.
Responsibilities
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.
Requirements
Applicants are required to be in their final year of study.
Will be graduating summer 2026 with a good numerate degree or PhD (eg STEM, Econometrics)
Practical experience with statistics and machine learning.
Strong programming skills, with a preference for (but not limited to) Matlab or Python.
A track record of using data to solve complex problems.
A knowledge and interest in sport will be helpful.
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