At a Glance
- Tasks: Develop predictive models for real-time sports betting using data analysis and machine learning.
- Company: Join a leading global operator in the sports betting industry with a vibrant culture.
- Benefits: Enjoy hybrid working, eye care, life assurance, and opportunities for professional growth.
- Other info: Fast-paced environment with significant opportunities for innovation and technical development.
- Why this job: Make an impact in the exciting world of sports betting while honing your data science skills.
- 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.
Preferred Skills and Experience
- 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.
What you will be doing
- 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.
Bonus
- 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.
Data Scientist, Sports in Stoke-on-Trent employer: bet365 Group
At bet365, we pride ourselves on being a leading global operator in the sports betting industry, offering a dynamic and innovative work environment for our Data Scientists. Our commitment to employee growth is evident through our hybrid working policy, extensive training opportunities, and a culture that values collaboration and creativity. Join us to leverage your skills in a fast-paced setting where your contributions directly impact our cutting-edge betting products and services.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist, Sports in Stoke-on-Trent
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with fellow data enthusiasts. 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 related to sports data. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with Python, R, and machine learning frameworks. Practice explaining your thought process when developing models, as this will impress interviewers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our team and contributing to our innovative projects.
We think you need these skills to ace Data Scientist, Sports in Stoke-on-Trent
Some tips for your application 🫡
Show Your Passion for Sports:Make sure to highlight your keen interest in sports and the online gambling industry. We love seeing candidates who are genuinely excited about what we do, so let that enthusiasm shine through in your application!
Demonstrate Your Technical Skills:When detailing your experience, focus on your expertise in Python/R and any machine learning frameworks you've used. We want to see how you've applied these skills to real-world problems, so don't hold back on sharing specific examples!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so make sure your writing is easy to follow and highlights your key achievements without unnecessary fluff.
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 Group
✨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 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 machine learning frameworks like scikit-learn or TensorFlow. You might even be asked to solve a coding problem on the spot, so practice some common algorithms 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.
✨Prepare for Problem-Solving Questions
Expect to tackle unstructured problems during the interview. Think of examples where you've devised innovative solutions or optimised models. Practising how to articulate your thought process will help you stand out as a candidate who can think on their feet.
