At a Glance
- Tasks: Develop predictive models for real-time sports betting using data-driven insights.
- Company: Join bet365, a leader in the online gambling industry with a focus on innovation.
- Benefits: Hybrid working policy, competitive salary, and opportunities for technical growth.
- Other info: Inclusive environment that values diversity and encourages personal development.
- Why this job: Make an impact in the exciting world of sports betting with cutting-edge technology.
- Qualifications: Degree in Mathematics, Data Science, or related field; strong Python/R skills required.
The predicted salary is between 50000 - 70000 £ per year.
As a Data Scientist, you will develop probabilistic models that power real-time betting markets. The Quantitative Analysis department harnesses data-driven insights to enhance our betting products and services. The team is responsible for designing, developing, and maintaining sophisticated mathematical models to provide accurate pricing across our sports betting products. In this role, you will work with extensive datasets to develop models that determine odds and power in-play betting decisions. 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.
Qualifications
- Bachelor’s degree in Mathematics, Data Science, Computer Science, or a related quantitative field.
- Keen interest in a wide range of sports and/or the online gambling industry.
- Demonstrable experience building predictive models from data.
- Expertise in statistical analysis and probability theory applied to real-world problems.
- Strong Python/R skills with experience in ML frameworks, such as scikit-learn, TensorFlow, or PyTorch.
- Ability to optimise models for both accuracy and computational efficiency.
- Experience handling and analysing large datasets.
- Familiarity with cloud computing environments.
Responsibilities
- Conducting in-depth 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 for sports betting.
- Devising innovative solutions for unstructured problems.
- Assessing existing models and algorithms to identify areas for improvement.
- Identifying and resolving data quality issues or bugs affecting models or analysis.
- Performing rigorous statistical validation of models against historical and live data.
- Collaborating with trading teams to incorporate domain expertise into mathematical models.
- Optimising model performance for both accuracy and computational efficiency.
- Researching novel approaches from academic literature and industry developments.
- Identifying and defining new opportunities for data-driven insights.
At bet365, we're committed to creating an environment where everyone feels welcome, respected and valued. Where all individuals can grow and develop, regardless of their background. We're Never Ordinary, and we're always striving to be better. If you need any adjustments or accommodations to the recruitment process, at either application or interview, please don’t hesitate to reach out.
Hybrid Sports Data Scientist — Real-Time Betting Models in Stoke-on-Trent employer: 慨正橡扯
At bet365, we pride ourselves on being an exceptional employer, offering a dynamic and inclusive work culture that fosters innovation and personal growth. Our hybrid working policy allows for flexibility, while our commitment to employee development ensures that you will have ample opportunities to enhance your skills in a fast-paced environment focused on cutting-edge data science in the sports betting industry. Join us to be part of a team that values diversity and encourages every individual to contribute their unique perspectives.
StudySmarter Expert Advice🤫
We think this is how you could land Hybrid Sports Data Scientist — Real-Time Betting Models in Stoke-on-Trent
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in sports data science. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your predictive models and analyses. Use platforms like GitHub to share your projects, and make sure to highlight any relevant experience with Python or R.
✨Tip Number 3
Prepare for interviews by brushing up on your statistical knowledge and machine learning techniques. Be ready to discuss how you've tackled real-world problems using data, and don’t forget to mention your passion for sports!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, you’ll be part of a company that values growth and innovation in the exciting world of sports betting.
We think you need these skills to ace Hybrid Sports Data Scientist — Real-Time Betting Models in Stoke-on-Trent
Some tips for your application 🫡
Show Your Passion for Sports:We want to see your enthusiasm for sports and the online gambling industry. Make sure to highlight any relevant experiences or interests that showcase your love for the game, as it’ll help us understand your fit for the role.
Highlight Your Technical Skills:When detailing your experience, focus on your Python/R skills and any machine learning frameworks you've worked with. We’re keen on seeing how you’ve applied these skills in real-world scenarios, so don’t hold back!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so make sure your achievements and experiences are easy to read and understand. This will help us quickly see why you’d be a great addition to 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. Plus, it’s super easy to do!
How to prepare for a job interview at 慨正橡扯
✨Know Your Numbers
Brush up on your statistical analysis and probability theory. Be ready to discuss how you've applied these concepts in real-world scenarios, especially in relation to sports or betting. This will show that you can think critically about data and its implications.
✨Showcase Your Coding Skills
Make sure you're comfortable with Python or R, and be prepared to demonstrate your experience with ML frameworks like scikit-learn or TensorFlow. You might even be asked to solve a coding problem on the spot, so practice some common algorithms and data manipulation tasks beforehand.
✨Understand the Industry
Familiarise yourself with the online gambling industry and current trends in sports betting. Being able to discuss recent developments or innovations will not only impress your interviewers but also show your genuine interest in the role and the company.
✨Prepare for Problem-Solving Questions
Expect to tackle unstructured problems during the interview. Think of examples from your past experiences where you've devised innovative solutions or optimised models. Use the STAR method (Situation, Task, Action, Result) to structure your answers clearly.
