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- Tasks: Support coaches with data analysis and create visualisations to extract performance insights.
- Company: Professional football club in Swansea, leading in sports analytics.
- Benefits: Competitive salary and additional perks for a rewarding experience.
- Why this job: Join the forefront of sports analytics and make a real impact in football.
- Qualifications: STEM degree, data science experience in sports, and skills in SQL and Python.
- Other info: Dynamic environment with exciting opportunities for growth in sports analytics.
The predicted salary is between 30000 - 40000 £ per year.
A professional football club located in Swansea is looking for a First Team Data Scientist. The role involves supporting coaches with data analysis, designing visualisations, and extracting insights across performances.
Candidates should have a STEM degree, experience with data science in sports, and familiarity with SQL and Python.
This is a great opportunity to work at the forefront of sports analytics in a dynamic environment. Competitive salary and additional perks offered.
First Team Football Data Scientist - Live Analytics in Swansea employer: TheASPA
Contact Detail:
TheASPA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land First Team Football Data Scientist - Live Analytics in Swansea
✨Tip Number 1
Network like a pro! Reach out to people in the football analytics scene, whether it's through LinkedIn or local meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data visualisations and insights from past projects. We want to see how you can turn raw data into actionable strategies that can help a team win.
✨Tip Number 3
Prepare for the interview by brushing up on your SQL and Python skills. We recommend doing some mock interviews with friends or using online platforms to get comfortable discussing your technical expertise.
✨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 take the initiative to connect directly with us.
We think you need these skills to ace First Team Football Data Scientist - Live Analytics in Swansea
Some tips for your application 🫡
Show Your Passion for Football: When you're writing your application, let your love for football shine through! Mention any relevant experiences or projects that showcase your enthusiasm for the sport and how it ties into your data science skills.
Highlight Your Technical Skills: Make sure to emphasise your experience with SQL and Python. We want to see how you've used these tools in past projects, especially in a sports context. Be specific about your contributions and the impact they had!
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to this role. Mention how your background aligns with the responsibilities of supporting coaches and extracting insights from data.
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 don’t miss out on any important updates during the process!
How to prepare for a job interview at TheASPA
✨Know Your Data
Make sure you brush up on your data science skills, especially in SQL and Python. Be prepared to discuss how you've used these tools in previous roles, particularly in a sports context. Having specific examples ready will show your expertise and passion for the field.
✨Understand the Game
Familiarise yourself with the club's playing style and recent performances. Being able to relate your data insights to actual match situations will impress the interviewers. Show them that you not only understand data but also how it impacts the game.
✨Visualisation is Key
Since the role involves designing visualisations, think about how you can present complex data in an easily digestible format. Bring examples of your past work or even create a mock-up visualisation relevant to football analytics to showcase your skills.
✨Ask Insightful Questions
Prepare thoughtful questions about the team's current data practices and how they envision the role evolving. This shows your genuine interest in contributing to their success and helps you gauge if the club's culture aligns with your values.