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- Tasks: Develop predictive models for real-time sports betting using advanced machine learning techniques.
- Company: Join a leading global operator in the sports betting industry with a dynamic culture.
- Benefits: Enjoy hybrid working, eye care, flu vaccinations, and life assurance.
- Why this job: Make an impact in sports betting while growing your technical skills in a fast-paced environment.
- Qualifications: Degree in a quantitative field and experience in designing predictive models.
- Other info: Collaborate with talented professionals and mentor junior team members.
The predicted salary is between 36000 - 60000 £ per year.
As a Senior Data Scientist, you will develop probabilistic models that power real-time betting markets. The Quantitative Analysis team designs, develops, and maintains sophisticated mathematical models to provide accurate pricing across our sports betting products. Working with extensive sports datasets, you will develop models that determine odds and power in-play betting decisions. You will apply state-of-the-art machine learning techniques to sports data, collaborating with talented professionals in a fast-paced and dynamic environment.
Our fast-paced, delivery-focused environment offers significant opportunities for technical growth and innovation. This role is eligible for inclusion in the Company's hybrid working policy.
Preferred Skills and Experience- Proven track record of designing, developing, and deploying sophisticated predictive models.
- Degree in Mathematics, Data Science, Computer Science, or a related quantitative field.
- Excellent understanding of statistical analysis and probability theory, with the ability to apply advanced techniques to complex, real-world problems.
- Mastery of Python/R, with extensive experience in designing and implementing complex machine learning solutions using frameworks such as scikit-learn, TensorFlow, or PyTorch.
- Excellent verbal and written communication skills for presenting complex data-driven insights to both technical and non-technical audiences.
- Strong understanding of a wide range of sports and the online gambling industry.
- Demonstrated ability to design and implement models that are highly accurate, computationally efficient and scalable for large-scale production environments.
- Experience mentoring junior colleagues, leading technical projects, and contributing to the success of a team.
- Experience with cloud computing environments.
- Applying creative and innovative thinking to solve complex problems that do not have prescriptive solutions.
- Conducting advanced analysis of large datasets to extract insights and inform decision-making in sports betting.
- Utilising statistical techniques and machine learning algorithms to develop predictive models and algorithms.
- Performing rigorous statistical validation of models against historical and live data.
- Collaborating with trading teams to incorporate domain expertise into mathematical models.
- Collaborating with Software Architects and developers to ensure alignment with technical solutions.
- Optimising model performance for both accuracy and computational efficiency.
- Researching and implementing novel approaches from academic literature and industry developments.
- Providing support to less experienced team members and carry out QA of work.
- Identifying and defining new opportunities for data-driven insights.
- Eye care and Flu Vaccinations
- Life Assurance
Life at bet365: We are a unique global operator with passion and drive to be the best in the industry. Our values form the foundation of culture and shape the unique way that we work. People are our superpower and we support you to be the best you can be.
Senior Data Scientist, Sports in Stoke-on-Trent employer: bet365 Group
Contact Detail:
bet365 Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist, Sports in Stoke-on-Trent
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with professionals on LinkedIn. 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 predictive models and analyses. Use platforms like GitHub to share your projects, especially those using Python or R, so potential employers can see your work in action.
✨Tip Number 3
Prepare for interviews by brushing up on your statistical analysis and machine learning techniques. Be ready to discuss your past projects and how you've tackled complex problems, as this will demonstrate your expertise and problem-solving abilities.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Scientist, Sports in Stoke-on-Trent
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with probabilistic models and machine learning techniques. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about sports data science and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Technical Skills: We love seeing candidates who can demonstrate their mastery of Python/R and machine learning frameworks. Include specific examples of projects where you’ve applied these skills to solve real-world problems.
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 bet365 Group
✨Know Your Models Inside Out
Make sure you can discuss your previous predictive models in detail. Be ready to explain the algorithms you used, the challenges you faced, and how you validated your results. This shows your depth of knowledge and experience in developing sophisticated models.
✨Brush Up on Sports Knowledge
Since this role is all about sports betting, having a solid understanding of various sports and the online gambling industry is crucial. Familiarise yourself with current trends, key statistics, and how betting markets operate to impress your interviewers.
✨Showcase Your Technical Skills
Be prepared to demonstrate your mastery of Python or R during the interview. You might be asked to solve a problem on the spot or discuss your experience with machine learning frameworks like TensorFlow or PyTorch. Practice coding challenges beforehand to boost your confidence.
✨Communicate Clearly and Effectively
You’ll need to present complex data-driven insights to both technical and non-technical audiences. Practice explaining your work in simple terms, and be ready to answer questions about your thought process. Good communication can set you apart from other candidates.
