At a Glance
- Tasks: Develop predictive models for real-time sports betting using extensive datasets.
- 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: Collaborative environment that values diversity and encourages personal development.
- Why this job: Make an impact in sports betting by harnessing data-driven insights and cutting-edge technology.
- Qualifications: Bachelor’s degree in a quantitative field and strong skills in Python/R and ML frameworks.
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.
Additional Information
- 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.
Data Scientist, Sports employer: bet365
At bet365, we pride ourselves on being an exceptional employer, offering a dynamic and inclusive work culture that fosters innovation and personal growth. As a Data Scientist in our Quantitative Analysis department, you will have the opportunity to work with cutting-edge technology and extensive datasets in a fast-paced environment, all while enjoying the flexibility of our hybrid working policy. We are dedicated to supporting your professional development and ensuring that every team member feels valued and empowered to contribute to our mission of delivering outstanding sports betting products.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist, Sports
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working as Data Scientists. LinkedIn is your best mate here; connect, engage, and don’t be shy to ask for informational chats.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your predictive models and analyses. Use GitHub or a personal website to display your projects, especially those related to sports data – it’ll make you stand out!
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python/R skills and ML frameworks. Practice coding challenges and be ready to discuss your thought process when solving problems – they love seeing how you think!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for passionate individuals who are eager to innovate in the sports betting space.
We think you need these skills to ace Data Scientist, Sports
Some tips for your application 🫡
Show Your Passion for Sports:When you're writing your application, let your love for sports shine through! Mention specific sports you follow and how they relate to your data science skills. This will show us that you're not just a numbers person, but someone who truly understands the industry.
Highlight Your Technical Skills:Make sure to showcase your expertise in Python, R, and any ML frameworks you've worked with. We want to see examples of how you've built predictive models or tackled real-world problems using statistical analysis. Don't hold back on the details!
Be Clear and Concise:Keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to read. We appreciate clarity, so avoid jargon unless it's necessary to explain your experience.
Apply Through Our Website:We encourage you to submit your application directly 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 bet365
✨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 sports or betting contexts. This will show your understanding of the role and your ability to handle data-driven insights.
✨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 during the interview, so practice some common algorithms and data manipulation tasks beforehand.
✨Familiarise Yourself with the Industry
Have a good grasp of 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 field.
✨Prepare for Problem-Solving Questions
Expect to tackle unstructured problems during the interview. Think about past experiences where you identified data quality issues or optimised models. Be ready to walk through your thought process and how you arrived at your solutions, as this will highlight your analytical skills.
