At a Glance
- Tasks: Develop predictive models for real-time sports betting markets using extensive datasets.
- Company: Join bet365, a leader in the sports betting industry with a dynamic team.
- Benefits: Hybrid work model, opportunities for technical growth, and a competitive salary.
- Other info: Collaborate with trading teams in a fast-paced, innovative environment.
- Why this job: Combine your passion for sports with data science to make an impact in real-time betting.
- Qualifications: Bachelor's degree in a quantitative field and strong Python or R skills.
The predicted salary is between 50000 - 70000 € per year.
bet365 is seeking a Data Scientist in Burslem to develop probabilistic models that power real-time betting markets. You will analyze extensive datasets and build predictive models while collaborating with trading teams.
The ideal candidate will have a Bachelor's degree in a quantitative field and strong skills in Python or R, along with a keen interest in sports. The position is hybrid and offers opportunities for technical growth.
Sports Betting Data Scientist: Real-Time Odds & ML (Hybrid) employer: bet365
At bet365, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Located in Burslem, our hybrid working model provides flexibility while our commitment to employee development ensures you have ample opportunities for technical growth in the exciting field of sports data science. Join us to be part of a team that values your contributions and encourages your passion for sports and analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Sports Betting Data Scientist: Real-Time Odds & ML (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to folks in the sports betting and data science communities. LinkedIn is your best mate here – connect with people at bet365 or similar companies, and don’t be shy about asking for a chat.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your predictive models and analyses. Use GitHub to share your projects, especially those related to sports data – it’ll make you stand out when we’re looking for someone who can hit the ground running.
✨Tip Number 3
Prepare for the interview by brushing up on your Python or R skills. Be ready to discuss your past projects and how they relate to real-time betting markets. We want to see your thought process, so practice explaining your work clearly and confidently.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at bet365. Let’s get you that dream job!
We think you need these skills to ace Sports Betting Data Scientist: Real-Time Odds & ML (Hybrid)
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with Python or R in your application. We want to see how you've used these skills in real-world scenarios, especially if they relate to data analysis or predictive modelling.
Connect the Dots:When you describe your past projects, link them to the role. If you've worked on anything related to sports or betting markets, let us know! We love seeing how your background aligns with what we do at StudySmarter.
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it's necessary. Remember, we want to understand your journey and how it fits with our team!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at bet365
✨Know Your Numbers
As a Data Scientist, you'll be expected to handle extensive datasets. Brush up on your statistical knowledge and be ready to discuss how you would approach analysing data for real-time betting markets. Prepare examples of past projects where you've used Python or R to build predictive models.
✨Show Your Passion for Sports
Since the role is focused on sports betting, make sure to convey your enthusiasm for sports. Be prepared to discuss your favourite sports, teams, or recent events. This will show that you not only have the technical skills but also a genuine interest in the industry.
✨Collaborate Like a Pro
You'll be working closely with trading teams, so highlight your teamwork skills. Think of examples where you've successfully collaborated on projects. Discuss how you communicate complex data insights to non-technical stakeholders, as this will be crucial in your role.
✨Prepare for Technical Questions
Expect some technical questions during the interview. Review key concepts in machine learning and probabilistic modelling. Practice coding challenges in Python or R, as you may be asked to demonstrate your skills on the spot. Being well-prepared will boost your confidence!
