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- Tasks: Enhance predictive models and research innovative methods in football analytics.
- Company: Leading football analytics firm based in London.
- Benefits: Flexible working, bonuses, health packages, and great perks.
- Why this job: Make a real impact in football analytics with extensive datasets.
- Qualifications: Degree in STEM, strong predictive modelling, machine learning, Python, and SQL skills.
- Other info: Hybrid role with in-office presence required at least four days a week.
The predicted salary is between 36000 - 60000 £ per year.
A leading football analytics firm in London is seeking a Data Scientist to enhance predictive models and research innovative methods. The role involves direct contributions to football analytics, leveraging extensive datasets.
Ideal candidates will hold a degree in a STEM field, possess strong predictive modelling and machine learning skills, and have proficiency in Python and SQL.
The position offers flexible working with a requirement of in-office presence at least four days a week, accompanied by great benefits including bonuses and health packages.
Football Analytics Data Scientist (Hybrid, London) employer: Football Radar
Contact Detail:
Football Radar Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Football Analytics Data Scientist (Hybrid, 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 sometimes lead to job opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your predictive models and any projects you've worked on using Python and SQL. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of football analytics. Be ready to discuss how you would approach enhancing predictive models and share your thoughts on innovative methods in the field.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Football Analytics Data Scientist (Hybrid, London)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your predictive modelling and machine learning skills in your application. We want to see how you can leverage your expertise in Python and SQL to enhance our football analytics.
Tailor Your CV: Don’t just send a generic CV! Tailor it to the job description, focusing on your relevant experience and projects that align with what we’re looking for. This shows us you’re genuinely interested in the role.
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share your passion for football analytics and any innovative methods you've researched or implemented in the past.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Football Radar
✨Know Your Data
Make sure you’re familiar with the types of datasets commonly used in football analytics. Brush up on your understanding of player statistics, match data, and how these can be leveraged for predictive modelling. Being able to discuss specific examples will show your passion and expertise.
✨Showcase Your Skills
Prepare to demonstrate your proficiency in Python and SQL during the interview. You might be asked to solve a problem or explain your approach to a past project. Bring along examples of your work or even a portfolio that highlights your predictive modelling and machine learning projects.
✨Understand the Company’s Vision
Research the firm’s recent projects and contributions to football analytics. Understanding their goals and challenges will help you tailor your responses and show that you’re genuinely interested in being part of their team. It’s all about aligning your skills with their mission!
✨Ask Insightful Questions
Prepare thoughtful questions that reflect your interest in the role and the company. Inquire about their current analytics methods, future projects, or how they measure success in their models. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
