We are seeking a highly analytical and detail-oriented Data & Sports Science Intern to support the development of a performance benchmarking database. This role sits at the intersection of data science and sports performance, offering hands-on experience in building, validating, and analyzing athlete performance data across multiple sports.

Key Responsibilities:

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  Build and structure a comprehensive athlete benchmarking database across key performance pillars: Speed, Endurance, Strength, Mobility, and Reaction
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  Clean, audit, and validate datasets by removing outliers, standardizing units, and ensuring data accuracy
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  Cross-reference data with peer-reviewed research and established performance norms
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  Apply statistical techniques to smooth data and create continuous benchmark curves across age groups
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  Develop percentile distributions and interpolate missing data points
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  (Optional) Visualize datasets using tools such as Excel or Power BI
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  Maintain clear documentation and ensure high standards of data quality

Requirements:

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  Undergraduate or postgraduate student in Data Science, Sports Science, Applied Statistics, Kinesiology, or a related field
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  Strong proficiency in Excel (Power Query preferred)
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  Knowledge of statistical analysis and data cleaning techniques
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  Understanding of sports performance metrics or exercise physiology (preferred)
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  Familiarity with tools like Power BI, Python, or R (nice to have)
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  Strong research and academic referencing skills
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  Detail-oriented, self-driven, and able to work independently

Requirements