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: Collaborative 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.
Data Scientist, Sports in Stoke-on-Trent employer: hackajob
At bet365, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and technical growth. Our Data Scientists enjoy the flexibility of a hybrid working policy, alongside opportunities to collaborate with passionate teams in a fast-paced environment, all while contributing to cutting-edge developments in sports betting. With a commitment to inclusivity and employee development, we ensure that every team member feels valued and empowered to excel in their career.
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 folks in the industry, especially those already working at bet365. A friendly chat can open doors and give you insider info on what they're really looking for.
✨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.
✨Tip Number 3
Prepare for the interview by brushing up on your statistical analysis and machine learning techniques. Be ready to discuss how you've tackled real-world problems with your models—specific examples will impress!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our team at bet365.
We think you need these skills to ace Data Scientist, Sports in Stoke-on-Trent
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your expertise in Python, R, and any ML frameworks you've used. We want to see how you've applied these skills in real-world scenarios, especially in building predictive models.
Tailor Your Application:Don’t just send a generic application! Tailor your CV and cover letter to reflect your keen interest in sports and the online gambling industry. We love seeing candidates who are genuinely passionate about what we do.
Be Data-Driven:Use data to back up your achievements. If you’ve optimised models or improved accuracy, share those numbers! We appreciate candidates who can quantify their impact and show us the results of their work.
Apply Through Our Website:We encourage you to apply directly 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 proactive!
How to prepare for a job interview at hackajob
✨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 ML frameworks like scikit-learn or TensorFlow. You might even be asked to solve a coding problem on the spot, so practice common algorithms and data manipulation tasks.
✨Dive into Sports Knowledge
Since this role is all about sports betting, having a keen interest in various sports is crucial. Familiarise yourself with current trends in the sports and online gambling industry, and be ready to discuss how data influences betting decisions.
✨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. Highlight your analytical thinking and how you approach challenges, as this will resonate well with the fast-paced environment they offer.
