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- Tasks: Transform data into insights, develop predictive models, and create interactive dashboards.
- Company: Join a leading football club's Analysis & Data Team focused on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous improvement and innovation.
- Why this job: Be at the forefront of football analytics and make a real impact on the game.
- Qualifications: Bachelor’s degree in a quantitative field and experience in data analysis.
The predicted salary is between 40000 - 50000 £ per year.
About the Analysis & Data Team: Our team is dedicated to transforming numbers into insights, enabling players and coaches to excel in every aspect of the game. We employ cutting-edge analytics tools to assess player performance, team dynamics, and opponent strategies. Collaboration with the Coaching and Player Recruitment Teams is vital to our success. We work hand-in-hand to identify key performance indicators that align with our club's objectives, ensuring that our analyses contribute directly to training regimens and recruitment strategies. We also prioritise communication and transparency, sharing our findings and insights with players and coaching staff through regular workshops and reports. This fosters a culture of continuous improvement and encourages players to leverage data in their personal development.
The Opportunity: As a Data Scientist, you will develop cutting‑edge predictive models and machine learning algorithms for player performance forecasting, injury risk assessment, recruitment targeting, and tactical analysis. You will create bespoke statistical metrics aligned with the Club’s football philosophy and strategic goals, conducting in‑depth opposition analysis, player comparisons, set‑piece evaluations, and match outcome predictions. Utilizing advanced statistical techniques such as regression, clustering, classification, and time‑series forecasting, you will unlock meaningful insights from complex datasets. Additionally, you will build interactive dashboards and analytical tools using Python, R, Tableau, Power BI, and custom web applications, making data accessible and understandable across departments. You will play a vital role in research and innovation by staying current with emerging trends, evaluating new technologies, and enhancing our analytical capabilities. Collaborating with our external Data Platform partner, you will design and maintain scalable data pipelines and databases, ensuring data integrity, security, and accessibility. This is a unique opportunity to be at the forefront of football analytics, applying your expertise to drive our club’s success on and off the pitch.
What We Ask For: The ideal candidate will hold a Bachelor’s degree or higher in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. You should have a proven track record of developing analytical solutions within professional sports, football analytics, or other data‑intensive environments. Strong proficiency in programming languages such as Python (including pandas, NumPy, scikit‑learn, TensorFlow/PyTorch) and/or R is essential, along with experience working with SQL and relational database management systems like PostgreSQL, MySQL, or SQL Server. Hands‑on experience with data visualization tools such as Tableau, Power BI, or Plotly is required. A solid understanding of machine learning algorithms, statistical modeling, and experimental design is crucial. In addition, we value expertise in data architecture, data modeling, and database optimization, alongside strong analytical skills to evaluate data quality, identify biases, and validate assumptions. Experience with cloud platforms, version control systems like Git, and collaborative development workflows is highly desirable. Familiarity with web development frameworks such as Flask, Django, or Streamlit for building internal tools, as well as knowledge of API integration and web scraping techniques, will be advantageous. An understanding of football performance metrics, tracking data, and event data structures is a plus, while knowledge of JavaScript is a bonus but not essential. You will be required to obtain an Enhanced DBS through SAFC.
Data Scientist in Sunderland employer: Sunderland AFC
Contact Detail:
Sunderland AFC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in Sunderland
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with fellow data enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to sports analytics. Use platforms like GitHub to share your code and visualisations, making it easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in football analytics. Be ready to discuss how your experience aligns with the club's objectives and how you can contribute to their success.
✨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, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Data Scientist in Sunderland
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your technical skills and experience in data science, especially with Python, R, and SQL. We want to see how you've used these tools to solve real-world problems, so don’t hold back on the details!
Tailor Your Application: Customise your CV and cover letter to reflect the specific requirements of the Data Scientist role. Mention your experience with predictive models and any relevant projects that align with our club's objectives. This shows us you’re genuinely interested!
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points for your achievements and make sure your language is straightforward. We appreciate clarity, especially when it comes to complex data insights!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it makes the whole process smoother for everyone involved.
How to prepare for a job interview at Sunderland AFC
✨Know Your Numbers
As a Data Scientist, you'll be expected to have a solid grasp of statistical techniques and machine learning algorithms. Brush up on your knowledge of regression, clustering, and classification methods. Be ready to discuss how you've applied these in previous roles, especially in sports analytics.
✨Showcase Your Tools
Familiarity with programming languages like Python and R is crucial. Prepare to demonstrate your skills with specific examples, perhaps by discussing a project where you used libraries like pandas or TensorFlow. If you’ve built dashboards using Tableau or Power BI, make sure to highlight that experience.
✨Collaboration is Key
Since the role involves working closely with coaching and recruitment teams, be prepared to talk about your experience in collaborative environments. Share examples of how you've communicated complex data insights to non-technical stakeholders and contributed to team objectives.
✨Stay Current and Curious
The field of data science is always evolving, especially in sports. Show your passion for continuous learning by discussing recent trends or technologies you've explored. Mention any relevant courses, workshops, or conferences you've attended to demonstrate your commitment to staying at the forefront of football analytics.