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- 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: Opportunity to work on innovative projects and conduct your own research.
The predicted salary is between 28800 - 48000 £ per year.
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.
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Data Scientist employer: Houston Texans
Contact Detail:
Houston Texans Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarise yourself with the specific data tools and technologies mentioned in the job description, such as R, Python, Power BI, and Tableau. Having hands-on experience or projects showcasing your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the football industry, especially those working in data science roles. Attend relevant conferences, webinars, or local meetups to make connections that could lead to referrals or insider information about the role.
✨Tip Number 3
Prepare to discuss your understanding of football tactics and how they can be translated into data metrics. Being able to articulate this connection during interviews will demonstrate your passion for the sport and your analytical capabilities.
✨Tip Number 4
Showcase any previous projects or research related to sports analytics in your discussions. Whether it's a personal project or work experience, having concrete examples will help illustrate your expertise and enthusiasm for the role.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly any work with statistical models or machine learning algorithms. Emphasise your understanding of football tactics and any previous experience in a professional football club.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for football and data science. Explain how your skills can directly benefit Sport Republic and mention specific projects or experiences that align with the job description.
Showcase Technical Skills: In your application, clearly outline your proficiency in programming languages like R or Python, as well as your experience with data visualisation tools such as Power BI or Tableau. Provide examples of how you've used these skills in past roles.
Prepare for the Pre-Screening Questionnaire: Take time to thoughtfully answer the pre-screening questionnaire. Use this opportunity to demonstrate your knowledge of data science and its application in football, as well as your communication skills.
How to prepare for a job interview at Houston Texans
✨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 your thought process and the outcomes.
✨Understand Football Tactics
Since the role involves working closely with football staff, demonstrate your knowledge of football tactics and how they can be translated into data metrics. This will show your passion for the sport and your ability to apply data insights effectively.
✨Prepare for Data Visualisation Questions
Familiarise yourself with data visualisation tools like Power BI or Tableau. Be ready to discuss how you have used these tools in the past to present complex data in an understandable way to diverse audiences.
✨Communicate Clearly and Confidently
As an excellent communicator, practice explaining your findings in simple terms. Prepare to engage with interviewers who may have varying levels of data literacy, ensuring you can convey your insights effectively.
