Overview

Performance Scientist  (Men’s First Team)

Permanent

Location: The Knox, Newcastle Upon Tyne

Competitive Salary

 

Be part of something bigger. Turn performance data into a competitive advantage.

 

We are the heartbeat of the city. A club with bold ambitions on a global stage and deep roots in our community. If you’re driven to raise the bar and make an impact, you’ll find the platform, the people and the pride to do your best work here

 

We’re looking for a passionate and knowledgeable football professional to help us nurture talent and support performance on and off the pitch. This role plays an important part in delivering high standards, supporting player development, and helping us create the best possible environment for success across the Club.

 

About the role

 

We are looking for a Performance Scientist to transform complex performance and medical data into clear, actionable insights. Working alongside colleagues across Performance, Medical, Data Insights, Academy and Women’s teams, you will help inform decision-making that supports player performance, physical development and health.

 

This is an exciting opportunity to combine analytical expertise, scientific curiosity and collaboration within an elite football environment.

 

What you’ll bring…

  • A BSc in Sports Science, Data Science, Statistics or another relevant STEM discipline.
  • Significant experience working with data in a professional sports environment, ideally within team sport.
  • A strong understanding of performance and medical analytics and their application to player performance, physical development and health.
  • Experience of research methodology and applying evidence to practice in elite sport.
  • Experience of working effectively within a multidisciplinary team.
  • The confidence to take ownership, use initiative and deliver work independently.
  • Advanced experience using Microsoft Power BI and Excel.
  • Experience of managing and analysing large, complex datasets.
  • Coding capability, preferably using Python for data analysis and custom visualisation.
  • The ability to communicate complex analysis as clear, actionable insight.
  • Experience of leading data projects from planning through to successful delivery.
  • A full UK driving licence.

Although not essential, it would be great if you also have‿

  • An MSc in Sports Science, Data Science, Statistics or a related STEM discipline.
  • A postgraduate qualification in Sports Analytics.
  • BASES accreditation, or the ability to obtain it within an agreed timeframe.
  • Experience using Microsoft SQL.
  • Knowledge of sports epidemiology.
  • Experience of working in elite football.

The team

 

You’ll join a committed Performance department working collaboratively across coaching, performance, analysis, medical and player care teams. Together, we aim to create an environment where every player can thrive

 

United As One.

 

We’re committed to equality, diversity and inclusion and believe in equal opportunities for all. We recognise that the diversity of our people is one of our greatest strengths. We work together to reflect the communities we serve and to maintain an inclusive environment in which everyone can be their authentic self and is enabled to achieve their full potential.

 

Safeguarding

 

We’re committed to being a place where everyone is safe, heard, valued and able to thrive so we place high value on the safeguarding and welfare of everyone we engage with.

 

How to apply 

 

To access the full job description for this role please click here.

 

For further information on this role and about the club please visit our careers page.

 

Please apply as soon as possible as this vacancy may close early should we receive a high volume of suitable candidates.

 

This position is UK based and requires proof of the right to live and work in the UK.

 

All job offers are conditional upon background checks, including reference history, DBS checks, and verification of your eligibility to work.

 
 

Job Expiry Date: 2026-09-25 11:00:00

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