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, flu vaccinations, and life assurance.
- Other info: Dynamic environment with opportunities for innovation and career advancement.
- Why this job: Make an impact in the exciting world of sports betting while growing your technical skills.
- Qualifications: Bachelor’s degree in a quantitative field and 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.
- 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.
- Eye care and Flu Vaccinations
- Life Assurance
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 employer: bet365 Group
At bet365, we pride ourselves on being a leading global operator in the sports betting industry, where our innovative and data-driven culture empowers our employees to excel. As a Data Scientist, you will thrive in a dynamic environment that fosters technical growth and collaboration, with access to extensive datasets and cutting-edge tools. Our commitment to employee well-being is reflected in our hybrid working policy and comprehensive benefits, ensuring you have the support needed to achieve both personal and professional success.
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, attend meetups, or join online forums. The more connections we make, the better our chances of landing that Data Scientist role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your predictive models and analyses. We can use platforms like GitHub to share our work and impress potential employers with our expertise.
✨Tip Number 3
Prepare for interviews by brushing up on statistical techniques and machine learning algorithms. We should be ready to discuss our past projects and how we tackled real-world problems using data.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our applications to highlight our passion for sports and data science.
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 data science and sports. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects and achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about sports and data science. We love seeing enthusiasm, so let us know what excites you about this opportunity.
Showcase Your Technical Skills:Be specific about your expertise in Python, R, and any ML frameworks you've used. We’re looking for candidates who can hit the ground running, so highlight any relevant projects or experiences that demonstrate your technical prowess.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our company culture there!
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 your understanding of the role and your ability to contribute effectively.
✨Showcase Your Coding Skills
Make sure you can demonstrate your Python or R skills during the interview. Prepare to talk about specific projects where you've used machine learning frameworks like scikit-learn or TensorFlow. Having a couple of examples ready will help you stand out.
✨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 show your passion for the field and your commitment to staying informed.
✨Prepare for Problem-Solving Questions
Expect to tackle some unstructured problems during the interview. Practice explaining your thought process when developing predictive models or optimising algorithms. This will demonstrate your analytical skills and your ability to think on your feet.
