Junior Performance Data Scientist

What you'll work on

Data Support & Analysis

• Assist in the collection, cleaning, and analysis of medical and performance data.
• Support dashboards, reporting systems, and visualisation tools.
• Contribute to the interpretation of data to support decision-making.
• Translate data outputs into practical insights that support medical and performance decision-making.

Data Integrity & System Management

• Ensure accuracy, completeness, and timeliness of all medical and performance data across platforms.
• Maintain and monitor data pipelines (e.g. GPS, HR, wellness, testing) to ensure reliable daily operations.
• Support the standardisation of data collection, storage, and reporting processes across First Team and Academy.
• Identify and resolve inconsistencies or errors in data systems and workflows.

Systems & Process Alignment

• Support the implementation of data systems and workflows across First Team and Academy.
• Assist in aligning data collection, storage, and reporting standards across departments.
• Contribute to the development of scalable and reproducible data processes.
• Ensure secure handling, storage, and governance of player data in line with club standards.

Project Work

• Support ongoing research and innovation projects within Medical & Performance.
• Assist in integrating new technologies and data sources into existing workflows.

Education & Collaboration

• Support staff understanding of data outputs and tools.
• Work closely with medical, performance, and coaching staff to ensure data outputs are contextually relevant and actionable.
• Contribute to the development and testing of predictive/statistical models supporting athlete health and performance.

Collaboration & Departmental Integration

• Work within a multidisciplinary team to support player health, performance, and development.
• Contribute to a “one department” approach, fostering trust, collaboration, and shared accountability across medical and performance staff.
• Participate in interdisciplinary meetings and decision-making processes related to player management.

General Duties - Governance & Compliance

• As a member of staff to ensure in all matters, you follow and actively promote the club’s mental health policies and practices to ensure an open, non-judgmental and inclusive environment for everyone engaged with the club.
• As a member of staff to ensure that you to adhere to the club’s safeguarding policies and procedures and are committed to our safeguarding values, creating a safe and positive environment for all those who interact with the club.
• Obligation to adhere to the club’s health and safety policy and procedures.
• As a member of staff to ensure in all matters you follow and actively promote the club’s equality policies and practices to ensure a welcoming, safe and inclusive environment for everyone engaged with the club.
• Maintain professional standards in line with governing bodies and regulatory requirements.

The duties and responsibilities described are not a comprehensive list and additional tasks may be assigned to the employee from time to time; or the scope of the job may change as necessitated by business demands.

What we're looking for

• Degree in Data Science, Sports Science, Mathematics, or related field.
• Working knowledge of Python and/or R, including relevant libraries such as pandas, scikit-learn, or tidyverse.
• Familiarity with data visualisation tools (e.g. Tableau, Power BI) and the ability to communicate insights clearly to non-technical stakeholders.
• Knowledge of relational databases and querying data using SQL.
• Exposure to machine learning concepts and statistical modelling techniques, with a willingness to develop these skills further.
• Understanding of data wrangling, cleaning, and validation processes in real-world, often messy datasets.
• Strong analytical and problem-solving skills.