At a Glance
- Tasks: Analyse football data and build machine learning models to drive performance insights.
- Company: Join Sheffield United FC, a club passionate about football and data-driven decisions.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Why this job: Make an impact in the world of football with your analytical skills and passion.
- Qualifications: Degree in a related field and strong experience with Python and machine learning.
- Other info: Dynamic work environment with a commitment to equality and safeguarding.
The predicted salary is between 36000 - 54000 £ per year.
Sheffield United FC are looking for a Data Scientist with a strong analytical mindset and a passion for football. The successful candidate will play a pivotal role in shaping data-driven decision-making across the club - working with modern football data sources, building machine learning models, and delivering insights that directly support performance and strategy on the football side.
Role Responsibilities
- Analyse and model football data to support decision-making across performance, recruitment, and opposition analysis.
- Develop and apply machine learning methods to uncover insights from a wide variety of leagues and competitions.
- Work with leading football data providers such as Opta, SkillCorner, and Driblab.
- Design dashboards and visual tools that make complex data accessible for coaches, analysts, and recruitment staff.
- Communicate findings clearly to technical and non-technical stakeholders, influencing football strategy and operations.
- Ensure data accuracy, consistency, and quality across reporting outputs and data pipelines.
- Automate recurring analytical workflows to improve efficiency and consistency across the department.
- Champion the use and value of data-informed insights throughout the business.
- Any other reasonable requests as required by management.
Club Wide Responsibilities
- Adhere to all Sheffield United Football Club's Safeguarding Policies and Procedures to foster an environment which protects from harm those defined as children and adults at risk.
- Report any concerns of a Safeguarding nature to the relevant parties and remain fully compliant with any applicable Safeguarding checks and due diligence and recognise your responsibility to the Club's Safeguarding agenda.
- Report any concerns of discrimination to the relevant parties and promote a welcoming and inclusive club environment for all.
- Adhere to the Club's Equality, Diversity and Inclusion policies, supporting the Club to create an environment which is inclusive and all-encompassing.
Essential Criteria for the Role
- Degree in Mathematics, Statistics, Computer Science, or a related field - or equivalent industry experience demonstrating strong analytical and computational skills.
- Strong experience with Python (pandas, NumPy, scikit-learn).
- Hands-on knowledge of machine learning techniques, including supervised, unsupervised, and semi-supervised learning.
- Proficiency in SQL for data extraction and transformation.
- Experience building clear and engaging data visualisations using tools such as Power BI, Tableau, or Streamlit.
- Familiarity with football data sources, with demonstrable experience working with both event and tracking data.
Desirable Criteria for the Role
- Understanding of version control systems (e.g. Git).
- Ability to present and explain data-driven insights to non-technical stakeholders in a clear and impactful way.
- Experience with MLOps tools and workflows for model deployment, monitoring, and versioning.
Application Process
Please download and save the application form before inputting information. If you require a paper copy please contact the HR department at careers@sufc.co.uk or call 01142537200. Completed application forms must be submitted via email to careers@sufc.co.uk stating the vacancy title in the subject or posted to HR, Sheffield United Football Club, Bramall Lane, Sheffield, S24 SU. Closing Date: Monday 29th September 2025. Please note that in the instance of high volumes of applications we may close this vacancy earlier than the closing date noted above.
Eligibility and Equality
Eligibility for Employment in the UK
In accordance with current legislative requirements the successful applicant must produce documentary verification of their eligibility to work in the UK and will not be allowed to start work until this has been received.
Equality and Diversity
Sheffield United FC is committed to the principle of equal opportunity in employment and its employment policies for recruitment, selection, training, development and promotion are designed to ensure that no job applicant or employee receives less favourable treatment on the grounds of race, colour, nationality, religion or belief, sex, sexual orientation, marital status, age, ethnic and national origin, disability or gender reassignment. Sheffield United FC is a Disability Confident Committed Employer. If you would like further information regarding the scheme and how we are able to support disabled persons within the workplace, please contact our HR team at careers@sufc.co.uk.
Safer Recruitment
Sheffield United FC is committed to safeguarding and promoting the welfare of children, young people and adults at risk. The successful applicant will be required to undertake appropriate safeguarding checks as well as providing proof of right to work in the UK.
Data Scientist in Sheffield employer: Sheffield United Football Club
Contact Detail:
Sheffield United Football Club Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in Sheffield
✨Tip Number 1
Network like a pro! Reach out to people in the football data scene, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data visualisations and machine learning projects. This is your chance to demonstrate how you can turn complex data into actionable insights that can influence football strategy.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Be ready to explain your findings to both technical and non-technical folks. Practice makes perfect, so consider mock interviews with friends or mentors.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining Sheffield United FC and being part of the team.
We think you need these skills to ace Data Scientist in Sheffield
Some tips for your application 🫡
Show Your Passion for Football: When you're filling out your application, let your love for football shine through! Mention any relevant experiences or projects that showcase how you've combined your analytical skills with your passion for the game.
Tailor Your Application: Make sure to customise your application to highlight the skills and experiences that align with the job description. We want to see how your background in data science fits perfectly with our needs at Sheffield United FC.
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to explain your experience with Python, SQL, and machine learning techniques. Remember, we want to understand your skills without having to dig through jargon!
Apply Through Our Website: Don't forget to submit your application through our website! It’s the easiest way for us to receive your details and ensures you’re following the correct process. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Sheffield United Football Club
✨Know Your Data
Make sure you brush up on your knowledge of football data sources like Opta and SkillCorner. Be ready to discuss how you've used these in the past, and think about specific examples where your analysis led to actionable insights.
✨Show Off Your Skills
Prepare to demonstrate your proficiency in Python and SQL. You might be asked to solve a problem on the spot, so practice coding challenges that involve data manipulation and machine learning techniques relevant to football analytics.
✨Visualisation is Key
Since you'll need to create engaging dashboards, bring examples of your previous work with tools like Power BI or Tableau. Be ready to explain your design choices and how they helped communicate complex data to non-technical stakeholders.
✨Communicate Clearly
Practice explaining your findings in simple terms. You’ll need to influence strategy, so think about how you can present data-driven insights in a way that resonates with coaches and recruitment staff who may not have a technical background.