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- Tasks: Transform complex data into actionable insights that drive decision-making across the Club.
- Company: Join Sheffield United Football Club's innovative data team.
- Benefits: Competitive salary, full-time hours, and a dynamic work environment.
- Why this job: Make a real impact on business performance using advanced analytics and machine learning.
- Qualifications: Degree in a relevant field and strong experience with Python and SQL.
- Other info: Collaborative culture with opportunities for professional growth and development.
The predicted salary is between 40000 - 56000 ÂŁ per year.
Sheffield United Football Club is seeking a Data Scientist to join its centralised data team, playing a key role in transforming complex data into actionable insights that inform strategic and operational decision‑making across the Club. This is an exciting opportunity to work in a collaborative, fast‑paced environment where data science has a direct impact on business performance, commercial success, and long‑term planning.
As a Data Scientist, you will apply advanced analytics, data modelling, and machine learning techniques to solve real business problems across the Club. Working closely with stakeholders in finance, retail, commercial, and marketing, you will translate complex questions into robust, data‑driven solutions that deliver measurable impact. You will design, build, and maintain scalable analytical solutions using modern cloud‑based platforms, communicate insights clearly to both technical and non‑technical audiences, and play an active role in embedding a strong, data‑driven culture throughout the Club.
Role Responsibilities
- Analyse and model commercial, marketing, ticketing, and retail data to generate actionable insights that inform decision‑making across key business functions.
- Develop and apply machine learning models to predict fan behaviour, supporting optimisation of commercial strategy, marketing activity and retail performance.
- Apply forecasting techniques to support future planning and decision making.
- Design, build, and maintain high‑quality dashboards and visual analytics that make complex data accessible and meaningful for key stakeholders.
- Communicate analytical findings and model outputs clearly to both technical and non‑technical audiences, influencing strategic planning and operational decisions.
- Collaborate closely with colleagues responsible for other domain areas, contributing to shared analytical initiatives and maintaining sufficient domain knowledge to provide support and continuity when required.
- 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 or Tableau.
- Proven experience in developing data‑driven solutions in a finance, retail or marketing role.
Desirable Criteria for the Role
- Experience using version control systems such as Git within collaborative data or analytics teams.
- Strong ability to communicate data‑driven insights clearly and persuasively to non‑technical stakeholders.
- Previous experience applying consumer behaviour insights to support data‑driven decision‑making.
- Knowledge of core data modelling and data architecture principles within analytical platforms.
- Familiarity with MLOps tools and workflows, including model deployment, monitoring, and versioning.
Expected Interview Process
- Stage 1: Getting to know you and competency based questions.
- Stage 2: Presentation Task.
Data Scientist in Sheffield employer: Sheffield United FC
Contact Detail:
Sheffield United FC 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 folks in the industry, especially those at Sheffield United or similar clubs. A friendly chat can open doors and give you insights that might just help you stand out.
✨Tip Number 2
Prepare for your interview by practising common data science questions and scenarios. Think about how you’d explain complex concepts in simple terms – remember, you’ll need to communicate with both technical and non-technical audiences!
✨Tip Number 3
Show off your skills! Bring along a portfolio of your projects or any dashboards you've built. This is your chance to demonstrate your analytical prowess and how you can turn data into actionable insights.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team at Sheffield United.
We think you need these skills to ace Data Scientist in Sheffield
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with Python, machine learning, and data visualisation tools like Power BI or Tableau. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can contribute to Sheffield United Football Club. Keep it engaging and relevant to the role.
Showcase Your Projects: If you've worked on any cool data projects, make sure to mention them! Whether it's a personal project or something from a previous job, we love seeing real examples of your work and how you’ve applied your skills.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way to ensure your application gets to us directly. Plus, it shows you're serious about joining our team at Sheffield United Football Club.
How to prepare for a job interview at Sheffield United FC
✨Know Your Data Inside Out
Before the interview, dive deep into the data science concepts relevant to the role. Brush up on your knowledge of Python, SQL, and machine learning techniques. Be ready to discuss how you've applied these skills in real-world scenarios, especially in finance, retail, or marketing.
✨Prepare for the Presentation Task
Since there's a presentation task in the interview process, think about a project where you transformed complex data into actionable insights. Create a clear and engaging visualisation using tools like Power BI or Tableau, and practice explaining your findings to both technical and non-technical audiences.
✨Showcase Your Collaboration Skills
This role involves working closely with various stakeholders. Be prepared to share examples of how you've collaborated with others in previous roles. Highlight your ability to communicate effectively and influence decision-making through data-driven insights.
✨Understand the Club's Values
Familiarise yourself with Sheffield United Football Club's commitment to safeguarding, equality, diversity, and inclusion. Be ready to discuss how you can contribute to fostering an inclusive environment and support the club's values in your role as a Data Scientist.