Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Create mathematical models and analyse data for football betting solutions.
- Company: Dynamic data solutions company based in Greater London.
- Benefits: Private health insurance, gym membership, and competitive salary.
- Why this job: Combine your passion for football with data science to make an impact.
- Qualifications: BSc in a quantitative field and 2 years of experience required.
- Other info: Join a vibrant team and enjoy excellent career growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
A dynamic data solutions company in Greater London is looking for a Quantitative Specialist with expertise in statistical modeling and programming in Python or R. The successful candidate will develop mathematical models for football betting solutions, perform data analysis, and create efficient data processing software.
The ideal candidate should have a BSc in a quantitative field, at least 2 years of commercial experience, and a positive attitude.
The role comes with competitive benefits including private health insurance and a gym membership.
Football Quant & Data Scientist employer: White Swan Data
Contact Detail:
White Swan Data Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Football Quant & Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the football data science community on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your statistical models and data analysis projects. This is your chance to demonstrate your expertise in Python or R, and it’ll make you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in football analytics. We recommend practising common interview questions and even doing mock interviews with friends.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Football Quant & Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in statistical modelling and programming in Python or R. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about football data science and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've tackled complex data challenges. We’re looking for someone who can develop innovative solutions, so share any relevant experiences that demonstrate your analytical prowess.
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. Plus, it shows you’re keen to join our dynamic team!
How to prepare for a job interview at White Swan Data
✨Know Your Stats
Brush up on your statistical modelling knowledge and be ready to discuss specific techniques you've used in past projects. Be prepared to explain how you applied these methods in a football context, as this will show your understanding of the industry.
✨Show Off Your Coding Skills
Since programming in Python or R is key for this role, make sure you can talk about your coding experience confidently. Bring examples of your work or even a small project that demonstrates your ability to develop data processing software.
✨Prepare for Scenario Questions
Expect questions that ask how you would approach certain problems in football data analysis or betting solutions. Think through some scenarios beforehand and outline your thought process, as this will highlight your analytical skills and problem-solving abilities.
✨Bring a Positive Attitude
The job description mentions a positive attitude, so make sure to convey enthusiasm during the interview. Share your passion for football and data science, and don’t hesitate to express your eagerness to contribute to the team and grow within the company.
