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: Inclusive environment that values diversity and encourages personal development.
- Why this job: Make an impact in sports betting while working with cutting-edge data science techniques.
- 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.
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.
Data Scientist, Sports 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 technical growth. As a Data Scientist in our Quantitative Analysis department, you will have the opportunity to work with extensive datasets in a fast-paced environment, while benefiting from our hybrid working policy and a commitment to employee development. Join us to be part of a team that values diverse perspectives and encourages continuous learning in the exciting world of sports betting.
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. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your predictive models and analyses. Use platforms like GitHub to share your projects. This not only demonstrates your expertise but also gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with Python, R, and ML frameworks. Practice explaining your thought process when developing models, as interviewers love to see how you tackle real-world problems.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, keep an eye on our careers page for new opportunities that match your skills and interests. We’re always on the lookout for talent like yours!
We think you need these skills to ace Data Scientist, Sports
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in building predictive models and working with large datasets. We want to see how your skills in Python or R can contribute to our sports betting products!
Show Your Passion:Let us know about your keen interest in sports and the online gambling industry. A genuine enthusiasm for what we do can really make your application stand out!
Be Specific in Your Cover Letter:Use your cover letter to dive into specific projects or experiences that showcase your statistical analysis skills. We love seeing how you've tackled real-world problems with innovative solutions!
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 this exciting opportunity in our Quantitative Analysis department.
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 sports or betting contexts. This will show your understanding of the role and your ability to contribute effectively.
✨Showcase Your Coding Skills
Make sure you’re comfortable with Python or R, and be prepared to demonstrate your experience with machine learning frameworks like scikit-learn or TensorFlow. You might be asked to solve a coding problem or explain your approach to optimising models, so practice articulating your thought process.
✨Dive into Data
Familiarise yourself with handling large datasets and be ready to discuss specific projects where you’ve extracted insights. Highlight any experience you have with cloud computing environments, as this is crucial for the role. Bring examples of how you’ve tackled data quality issues in the past.
✨Stay Current with Trends
Research recent developments in sports betting and data science. Being able to discuss novel approaches from academic literature or industry innovations will impress your interviewers. It shows that you’re not just knowledgeable but also passionate about the field.
