Data Scientist (Sport Republic)

HM Revenue and Customs; Southampton; Hybrid; GBP 40,000 - 60,000; Full time

Job summary

A unique opportunity in the data science team at a leading organization in sports, focusing on player analysis and performance metrics. The role involves building predictive models, liaising with club staff, and conducting research to enhance team strategies. Ideal candidates will have a strong STEM background with experience in statistical modeling and a passion for football.

Benefits

25 days holiday per year

Free onsite parking

Collaborative and inclusive working culture

Qualifications

• Experience in building statistical models and ML algorithms.
• Ability to use data visualization software.
• Professional experience managing data pipelines.

Responsibilities

• Maintaining and developing automated data processing pipelines.
• Building predictive models for player and team performance.
• Liaising with data engineers on data cleansing and ingestion.

Skills

Statistical modeling

Machine learning

Data visualization

Communication

Education

Undergraduate degree in Mathematics, Statistics, or Computer Science

Postgraduate degree (desirable)

Tools

R

Python

Power BI

Tableau

Job description

As a key member of the data science team at Sport Republic, you will be involved in a diverse range of analysis tasks and research projects to provide data insights to all Sport Republic clubs.

This includes working on player recruitment, team and opposition performance analysis, sports science physical testing, injury prevention, player pathways and academy player development. Our investments in other sports technology companies will allow you to work with other cutting-edge data products.

This is a unique opportunity to work closely with sporting directors, coaches and other football staff across multiple different clubs and see your work have a direct influence on decision making on and off the pitch.

What will you be doing?

You will be responsible for maintaining and developing automated pipelines to process data and create metrics efficiently as well as building advanced predictive models to measure and classify player and team performance. In addition to this, you will be liaising with data engineers on the cleansing and ingestion of various data sources into our databases and you will be required to possess the ability to present and explain your findings to diverse audiences across all of our clubs.

You will also be collaborating with football club staff to understand technical and tactical concepts and translate them into metrics. Additionally, you will be conducting your own research to answer a variety of football questions, creating visual apps, dashboards and documents to share your insights with stakeholders and following your own curiosity to carry out your own research projects in a way that benefits our clubs.

Is this you?

To be successful in this role you will have an undergraduate degree (or a postgraduate degree is desirable) in Mathematics, Statistics, Computer Science or other STEM field with experience in building a variety of statistical models and/or ML algorithms as well as a strong understanding of statistical computer programming languages (R or Python).

You will need to have the ability to use data visualisation software (Power BI or Tableau) and professional experience managing data pipelines (experience with football data desirable), be an excellent communicator (ability to speak multiple languages is an advantage) who can present effectively to audiences with varying levels of data literacy.

Previous experience within a professional football club is desirable however candidates with a passion for football and a strong understanding of football tactics applications from other areas will be considered.

How this benefits you…

If you are successful, you can look forward to;

• 25 days’ holiday per year excluding bank holidays plus your birthday off each year.
• Free onsite parking.
• Collaborative & inclusive working culture.

How can I apply?

Just click on the apply button below, enter your details and answer a quick pre-screening questionnaire, then attach your CV.

The closing date for applications is 23rd July 2025.

Birmingham, Leeds, Liverpool, London – Canary Wharf (Core HQs) or Homeworking