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Data Scientist
Job summary
A leading company in sports analytics is seeking a Data Scientist to join their data science team. This role involves analyzing player recruitment, team performance, and executing advanced research projects that influence decision-making across multiple football clubs. Candidates should have a strong background in STEM, experience with statistical modeling, and a passion for football. The position offers a collaborative work environment and attractive benefits, including generous holiday entitlements.
Benefits
Qualifications
- Strong understanding of statistical programming languages like R or Python.
- Experience in building statistical models or machine learning algorithms.
- Knowledge of data visualization software like Power BI or Tableau.
Responsibilities
- Building automated pipelines to process data and create metrics.
- Developing predictive models to measure and classify player and team performance.
- Collaborating with football club staff to translate technical concepts into metrics.
Skills
Education
Tools
What is the role?
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.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.
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