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- Tasks: Shape the game by developing data models to boost player performance.
- Company: Join a leading football club with a passion for innovation.
- Benefits: Enjoy wellness support, career development, and a supportive work environment.
- Why this job: Make a real impact in football through data-driven insights and collaboration.
- Qualifications: Experience in data science and a love for football are essential.
- Other info: Be part of a dynamic team with exciting growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
A leading football club is seeking a Senior Football Data Scientist to contribute to a transformative role focused on data-driven insights and decision-making. The successful candidate will develop models to enhance player performance, collaborate with multi-disciplinary teams, and apply advanced data science techniques. This position offers a supportive environment and numerous benefits including wellness support and career development opportunities.
Senior Football Data Scientist — Shape the Game with Data in Manchester employer: Manchester United FC
Contact Detail:
Manchester United FC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Football Data Scientist — Shape the Game with Data in Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the football data science community, attend events, and engage on social media. Building connections can open doors to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data models and insights related to football. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for those interviews! Research the club’s recent performances and think about how your data-driven insights could make a difference. Tailor your responses to show how you can contribute to their goals.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you land that dream job. Plus, it shows you’re serious about joining our team and shaping the game with data.
We think you need these skills to ace Senior Football Data Scientist — Shape the Game with Data in Manchester
Some tips for your application 🫡
Show Your Passion for Football: When writing your application, let your love for the game shine through! Share any relevant experiences or projects that highlight your enthusiasm for football and how data can shape its future.
Highlight Your Data Science Skills: Make sure to showcase your expertise in data science techniques. Whether it's machine learning, statistical analysis, or model development, we want to see how your skills can enhance player performance and decision-making.
Collaborate and Communicate: Since this role involves working with multi-disciplinary teams, emphasise your ability to collaborate effectively. Share examples of how you've worked with others to achieve common goals, especially in a sports context.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It’s the best way for us to receive your application and get to know you better. Don’t miss out on this opportunity!
How to prepare for a job interview at Manchester United FC
✨Know Your Data Science Fundamentals
Brush up on your data science techniques and models relevant to football analytics. Be ready to discuss how you would apply these methods to enhance player performance, as this will show your understanding of the role and its impact.
✨Showcase Your Collaborative Spirit
Since the role involves working with multi-disciplinary teams, prepare examples of past collaborations. Highlight how you’ve successfully worked with coaches, analysts, or other stakeholders to drive data-driven decisions in sports.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve real-world problems using data. Think about specific scenarios in football where data analysis could lead to better decision-making, and be ready to walk through your thought process.
✨Emphasise Continuous Learning
With a focus on career development, express your enthusiasm for ongoing learning in data science and football analytics. Mention any recent courses, workshops, or conferences you've attended to stay updated in the field.
