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- Tasks: Create advanced models for real-time sports betting and enhance machine learning techniques.
- Company: Leading online gambling company in the UK with a focus on innovation.
- Benefits: Hybrid working policy, competitive salary, and opportunities for technical growth.
- Why this job: Join a dynamic team and shape the future of sports betting with your data expertise.
- Qualifications: Strong background in predictive modelling and proficiency in Python or R.
- Other info: Flexible work environment that encourages professional development.
The predicted salary is between 43200 - 72000 £ per year.
A leading online gambling company in the UK is looking for a Senior Data Scientist to develop sophisticated probabilistic models for real-time betting markets. Candidates should have a strong background in designing predictive models, excellent communication skills, and mastery of Python or R. This role supports technical growth in a dynamic environment and is eligible for a hybrid working policy, making it appealing for those seeking flexibility.
Senior Data Scientist: Real-Time Sports Betting ML in Stoke-on-Trent employer: bet365
Contact Detail:
bet365 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist: Real-Time Sports Betting ML in Stoke-on-Trent
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your predictive models and any projects you've worked on. This is your chance to shine beyond the application.
✨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.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed and shows you're serious about joining our team.
We think you need these skills to ace Senior Data Scientist: Real-Time Sports Betting ML in Stoke-on-Trent
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with predictive models and your mastery of Python or R. We want to see how you've used these skills in real-world scenarios, so don’t hold back!
Communicate Clearly: Since excellent communication skills are a must, ensure your application is clear and concise. We love a well-structured application that tells us exactly why you’re the right fit for the role.
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific requirements of the Senior Data Scientist role. Show us how your background aligns with our needs in real-time sports betting.
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’re considered for this exciting opportunity in a dynamic environment!
How to prepare for a job interview at bet365
✨Know Your Models Inside Out
Make sure you can discuss your experience with probabilistic models in detail. Be ready to explain how you've designed and implemented predictive models in the past, and be prepared to share specific examples that highlight your expertise.
✨Brush Up on Python or R
Since mastery of Python or R is crucial for this role, ensure you're comfortable discussing your coding skills. You might be asked to solve a problem on the spot, so practice common data science tasks and be ready to demonstrate your thought process.
✨Communicate Clearly
Excellent communication skills are a must. Practice explaining complex data concepts in simple terms, as you may need to convey your findings to non-technical stakeholders. Think about how you can make your insights accessible and engaging.
✨Show Enthusiasm for the Industry
This role is in the exciting world of real-time sports betting, so show your passion for the industry. Research current trends and challenges in sports betting and be prepared to discuss how your skills can contribute to innovative solutions in this dynamic environment.
