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- Tasks: Analyse sports data to uncover insights and build predictive models.
- Company: Leading sports data company with a passion for innovation.
- Benefits: Competitive salary, flexible working, and access to cutting-edge tools.
- Why this job: Make an impact in the sports world using your data science skills.
- Qualifications: Experience in Python and a genuine passion for sports.
- Other info: Join a vibrant team culture that encourages creativity and growth.
The predicted salary is between 28800 - 48000 £ per year.
We’re helping several sports data leaders, specialised in turning complex sporting datasets into actionable insights that drive smarter, evidence-based decision-making. Each team combines technical expertise with a genuine passion for the sport, ensuring that the insights they deliver are both rigorous and practical!
Essential Skills (Across the ground/court/track/pitch):
- Python programming.
- Practical experience working with sport data (either professionally or within personal projects).
- Exposure with statistical methods, sports modelling and machine learning, with the ability to apply them to real-world sporting problems.
- Genuine passion for Cricket, Tennis, Horse Racing or Football and a curiosity-driven approach to understanding the sport.
Day-to-Day Duties (Throughout the venue):
- Analyse sport datasets using advanced data science techniques to uncover insights on team and player performance, tactics and trends.
- Clean, process and analyse the sport datasets to create sport performance metrics.
- Build predictive sport models and analytical frameworks.
- Contribute to internal research projects exploring new metrics, analytical methods or innovative applications of sport data.
Benefits (Beyond the match/race/game):
- An impact from day one. Direct involvement with sport and the chance to apply data science to the real-world sporting calendar.
- Creative freedom to experiment and innovate.
- Supportive, collaborative culture that encourages learning and growth.
- A vibrant team culture with a shared passion for sports.
- Access to the latest tools and technologies.
- Collaborative, flexible, hybrid working model.
- Competitive salary, plus an endless list of benefits.
Sports Data Scientist in City of London employer: Hadte Group
Contact Detail:
Hadte Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sports Data Scientist in City of London
✨Tip Number 1
Get your networking game on! Connect with professionals in the sports data field through LinkedIn or industry events. We can’t stress enough how valuable personal connections can be when it comes to landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and sports data analysis. We love seeing practical applications of your knowledge, so make sure to highlight any predictive models or insights you've developed.
✨Tip Number 3
Prepare for interviews by brushing up on your sports knowledge and data science techniques. We recommend practising common interview questions related to statistical methods and machine learning, as well as being ready to discuss your passion for your chosen sport.
✨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’re always on the lookout for passionate individuals who want to make an impact in the sports data world.
We think you need these skills to ace Sports Data Scientist in City of London
Some tips for your application 🫡
Show Your Passion: Let us see your genuine love for the sport you’re applying for! Whether it’s Cricket, Tennis, Horse Racing, or Football, share how your passion drives your work and insights in your application.
Highlight Relevant Experience: Make sure to showcase any practical experience you have with sports data. Whether it's from previous jobs or personal projects, we want to know how you've applied your skills in real-world scenarios.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that get straight to the heart of your skills and experiences without unnecessary fluff.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Hadte Group
✨Know Your Sport Inside Out
Make sure you brush up on the specific sport you're applying for, whether it's Cricket, Tennis, Horse Racing, or Football. Familiarise yourself with recent trends, key players, and any statistical insights that are currently making waves in the industry. This will not only show your passion but also help you engage in meaningful conversations during the interview.
✨Showcase Your Data Skills
Prepare to discuss your experience with Python programming and any relevant projects you've worked on. Bring examples of how you've applied statistical methods or machine learning to real-world sporting problems. Being able to articulate your thought process and the impact of your work will impress the interviewers.
✨Be Ready for Technical Questions
Expect some technical questions related to data analysis and modelling. Brush up on your knowledge of advanced data science techniques and be prepared to solve a problem on the spot. Practising common data science interview questions can help you feel more confident and ready to tackle anything they throw at you.
✨Demonstrate Your Curiosity
Show that you have a genuine curiosity-driven approach to understanding sports data. Ask insightful questions about the company's current projects or challenges they face in the industry. This not only demonstrates your interest but also positions you as someone who is eager to contribute and learn within their team.
