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 personal development.
- Why this job: Make an impact in sports betting with cutting-edge data science techniques.
- Qualifications: Degree in a quantitative field and experience in building predictive models.
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.
EEO Statement
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: hackajob
At bet365, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and technical growth for our Data Scientists. Located in a vibrant environment, our hybrid working policy allows for flexibility while collaborating with a diverse team dedicated to pushing the boundaries of sports betting technology. With a commitment to employee development and a focus on inclusivity, we provide a rewarding workplace where your contributions truly matter.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist, Sports
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at bet365 or similar companies. A friendly chat can open doors and give you insights that job descriptions just can't.
✨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 make you stand out when we’re looking for candidates.
✨Tip Number 3
Prepare for the interview by brushing up on your statistical techniques and machine learning algorithms. Be ready to discuss how you've applied these in real-world scenarios, particularly in sports betting. We love seeing practical applications!
✨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
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 projects that showcase your interest in this area. It’ll help us see how you fit into our team!
Highlight Your Technical Skills:Don’t hold back on showcasing your Python/R skills and experience with ML frameworks like scikit-learn or TensorFlow. We’re looking for someone who can optimise models for accuracy and efficiency, so make sure to mention any relevant projects or achievements.
Be Data-Driven:Since we deal with extensive datasets, it’s crucial to demonstrate your experience in handling and analysing large amounts of data. Share specific examples of how you've used statistical analysis and probability theory to solve real-world problems.
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 don’t miss out on any important updates. Plus, it shows you’re keen on joining our team!
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 some common algorithms and data manipulation tasks beforehand.
✨Talk About Your Projects
Have a couple of projects ready to discuss that highlight your experience with predictive modelling and handling large datasets. Explain the challenges you faced, how you overcame them, and the impact your work had. This will give interviewers insight into your problem-solving skills and technical expertise.
✨Stay Current with Trends
Research recent developments in sports analytics and betting markets. Being able to discuss current trends or novel approaches from academic literature will demonstrate your passion for the field and your commitment to continuous learning, which is crucial in a fast-paced environment.
