Data ScientistSheffield United Football Club • Sheffield, England, United Kingdom
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Data Scientist
Sheffield United Football Club
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- Sheffield, England, United Kingdom
- +1
- +9
- Sheffield, England, United Kingdom
Über
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 UKIn 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 DiversitySheffield 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 RecruitmentSheffield 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. For further information on the Club's Safeguarding Statement please access the following link: suf c.co.uk/club/policies/safeguarding-policy #J-18808-Ljbffr
Wünschenswerte Fähigkeiten
- Git
- Machine Learning
- Numpy
- Pandas
- Power BI
- Python
- SQL
- Scikit-learn
- Tableau
Berufserfahrung
- Data Scientist
Sprachkenntnisse
- English
Hinweis für Nutzer
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