Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- 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 ÂŁ 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 England employer: Sunderland AFC
Contact Detail:
Sunderland AFC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in England
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with professionals on LinkedIn. We can’t stress enough how valuable personal connections can be in landing that Data Scientist role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving predictive models or data visualisation. This is your chance to demonstrate your expertise and creativity, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We recommend practising common data science interview questions and even doing mock interviews with friends or mentors to build confidence.
✨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 England
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 problems, so don’t hold back on sharing specific examples!
Tailor Your Application: Take a moment to customise your application for the Data Scientist role. Mention how your background aligns with our club's objectives and the specific responsibilities outlined in the job description. This shows us you’re genuinely interested in the position!
Be Clear and Concise: When writing your application, keep it clear and to the point. Use straightforward language and avoid jargon unless it's relevant. We appreciate a well-structured application that’s easy to read and understand.
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 Data Tools
Make sure you’re well-versed in the programming languages and tools mentioned in the job description, like Python, R, and SQL. Brush up on your skills with libraries such as pandas and scikit-learn, and be ready to discuss how you've used them in past projects.
✨Showcase Your Analytical Mindset
Prepare to talk about specific analytical solutions you've developed, especially in a sports context. Think of examples where your insights led to tangible improvements, whether in player performance or recruitment strategies. This will demonstrate your ability to apply data science in real-world scenarios.
✨Understand the Football Landscape
Familiarise yourself with football performance metrics and how they relate to team dynamics. Being able to discuss current trends in football analytics and how they can impact decision-making will show that you’re not just a data whiz but also passionate about the sport.
✨Prepare for Collaboration Questions
Since collaboration is key in this role, think of examples where you’ve worked closely with other teams. Be ready to explain how you communicated complex data insights to non-technical stakeholders, as this will highlight your ability to foster transparency and teamwork.