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- Tasks: Drive innovative analytics in elite football using advanced data modelling techniques.
- Company: Leading sports analytics company based in Greater London.
- Benefits: Flexible hybrid working model and opportunity to impact football performance.
- Why this job: Make a real difference in football with cutting-edge data technology.
- Qualifications: Experience in data science and a passion for football analytics.
- Other info: Join a collaborative team and thrive in a dynamic environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading sports analytics company in Greater London is seeking an experienced Data Scientist to drive innovative analytics in elite football. You will join a collaborative team and apply advanced data modeling techniques for player performance analysis and tactical insights. The role offers a flexible hybrid working model and the opportunity to make a real impact on football performance using cutting-edge data technology.
Elite Football Analytics Data Scientist – Hybrid in London employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Elite Football Analytics Data Scientist – Hybrid in London
✨Tip Number 1
Network like a pro! Reach out to people in the football analytics space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data modelling projects, especially those related to football. This will give you an edge and demonstrate your passion for the sport.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of football analytics. Be ready to discuss how you can apply advanced techniques to real-world scenarios in the game.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team and making an impact in elite football analytics.
We think you need these skills to ace Elite Football Analytics Data Scientist – Hybrid in London
Some tips for your application 🫡
Show Your Passion for Football: When you're writing your application, let your love for football shine through! We want to see how your enthusiasm for the game translates into your work as a Data Scientist. Share any relevant experiences or projects that highlight your passion.
Highlight Relevant Skills: Make sure to showcase your advanced data modelling techniques and any specific tools or technologies you've used in your previous roles. We’re looking for someone who can bring innovative analytics to the table, so don’t hold back on your technical skills!
Tailor Your Application: Take the time to customise your application for this role. Mention how your experience aligns with our mission at StudySmarter and how you can contribute to driving analytics in elite football. A personalised touch goes a long way!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at Jobster
✨Know Your Football Analytics
Make sure you brush up on the latest trends and techniques in football analytics. Familiarise yourself with key metrics used in player performance analysis and be ready to discuss how you've applied data modelling techniques in your previous roles.
✨Showcase Your Technical Skills
Prepare to demonstrate your proficiency in relevant programming languages and tools, such as Python or R. Bring examples of past projects where you've successfully used these skills to derive insights from data, especially in a sports context.
✨Be Ready for Collaborative Scenarios
Since this role involves working within a team, think of examples that highlight your collaborative spirit. Be prepared to discuss how you’ve worked with others to solve complex problems or drive projects forward in a team setting.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to football analytics and their future goals. This shows your genuine interest in the role and helps you understand how you can contribute to their mission.
