At a Glance
- Tasks: Join our data science team to analyse player performance and support decision-making in football.
- Company: Sport Republic invests in sports technology, enhancing clubs with cutting-edge data insights.
- Benefits: Enjoy 25 days holiday, free parking, and a collaborative work culture.
- Why this job: Make a real impact in football while working with passionate professionals across multiple clubs.
- Qualifications: Undergraduate degree in STEM, experience with statistical models, and strong communication skills required.
- Other info: Remote work options available; apply by 23rd July 2025.
The predicted salary is between 28800 - 48000 £ per year.
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
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Data Scientist (Sport Republic) employer: HM Revenue and Customs
Contact Detail:
HM Revenue and Customs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist (Sport Republic)
✨Tip Number 1
Familiarise yourself with the latest trends in sports analytics and data science, particularly in football. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the sports data field, especially those who have experience working with football clubs. Attend industry events or webinars to make connections that could lead to valuable insights or referrals.
✨Tip Number 3
Showcase your passion for football by discussing relevant projects or research you've conducted. Whether it's a personal project analysing player statistics or a case study on team performance, demonstrating your enthusiasm can set you apart.
✨Tip Number 4
Prepare to discuss how you would approach specific challenges in football data analysis. Think about how you would translate technical concepts into actionable insights for coaches and sporting directors, as this is crucial for the role.
We think you need these skills to ace Data Scientist (Sport Republic)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly any work related to sports analytics or football. Emphasise your skills in statistical modelling, programming languages like R or Python, and any experience with data visualisation tools such as Power BI or Tableau.
Craft a Compelling Cover Letter: In your cover letter, express your passion for football and how it relates to your data science expertise. Mention specific projects or experiences that demonstrate your ability to analyse player performance or team strategies, and explain why you want to work at Sport Republic.
Showcase Your Communication Skills: Since the role requires presenting findings to diverse audiences, include examples in your application of how you've effectively communicated complex data insights in the past. This could be through presentations, reports, or collaborative projects.
Highlight Relevant Projects: If you've conducted research or worked on projects related to sports data analysis, make sure to include these in your application. Detail the methodologies used, the outcomes achieved, and how they relate to the responsibilities outlined in the job description.
How to prepare for a job interview at HM Revenue and Customs
✨Showcase Your Technical Skills
Be prepared to discuss your experience with statistical models and machine learning algorithms. Highlight specific projects where you've used R or Python, and be ready to explain the impact of your work on decision-making processes.
✨Understand Football Tactics
Since the role involves collaborating with football staff, demonstrate your knowledge of football tactics. Be ready to discuss how you can translate technical concepts into actionable metrics that can benefit the clubs.
✨Prepare for Data Presentation
Practice presenting your findings in a clear and engaging manner. Use visual aids like dashboards or apps to illustrate your insights, as this will show your ability to communicate complex data to diverse audiences.
✨Express Your Passion for Football
Even if you lack direct experience in a professional football club, convey your enthusiasm for the sport. Share any relevant experiences or projects that reflect your understanding of football and its analytics.