Data & Sports Science Intern

About the role

MDX is looking for a highly analytical and detail-oriented Data & Sports Science Intern to support the development of a performance benchmarking database. The role sits at the intersection of data science and sports performance, with hands-on work building, validating and analysing athlete performance data across several sports.

Key responsibilities

• Build and structure a comprehensive athlete benchmarking database covering speed, endurance, strength, mobility and reaction.
• Clean, audit and validate datasets by removing outliers, standardising units and ensuring data accuracy.
• Cross-reference data with peer-reviewed research and established performance norms.
• Apply statistical techniques to smooth data and create continuous benchmark curves across age groups.
• Develop percentile distributions and interpolate missing data points.
• (Optional) visualise datasets using tools such as Excel or Power BI.
• Maintain clear documentation and uphold high standards of data quality.

Required profile

• Undergraduate or postgraduate student in Data Science, Sports Science, Applied Statistics, Kinesiology or a related field.
• Strong research and academic referencing skills.
• Detail-oriented, self-driven and able to work independently.

Required skills

• Strong proficiency in Excel (Power Query preferred).
• Knowledge of statistical analysis and data cleaning techniques.
• Understanding of sports performance metrics or exercise physiology (preferred).
• Familiarity with Power BI, Python or R (nice to have).

Only applicants who apply through the application link will be considered for further review.