At a Glance
- Tasks: Develop predictive models for real-time sports betting using data-driven insights.
- Company: Dynamic company at the forefront of sports betting innovation.
- Benefits: Hybrid working policy, competitive salary, and opportunities for technical growth.
- Other info: Collaborate with trading teams and explore innovative solutions in a supportive environment.
- Why this job: Join a fast-paced team and make an impact in the exciting world of sports betting.
- Qualifications: Degree in Mathematics or Data Science; strong Python/R skills and interest in sports.
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 optimize models for both accuracy and computational efficiency.
- Experience handling and analysing large datasets.
- Familiarity with cloud computing environments.
Additional Information
- 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 Manchester employer: bet365
As a leading player in the sports betting industry, our company offers Data Scientists an exciting opportunity to work at the intersection of data science and sports. With a strong emphasis on innovation and technical growth, employees benefit from a collaborative work culture that encourages creativity and problem-solving. Our hybrid working policy and commitment to employee development make this an ideal environment for those looking to make a meaningful impact in a fast-paced sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist, Sports in Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend sports data events, and connect with professionals on LinkedIn. 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 betting. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your statistical analysis and machine learning concepts. Be ready to discuss how you've tackled real-world problems with your models. Practice explaining your thought process clearly and confidently.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals who are passionate about data science and sports. Your dream job could be just a click away!
We think you need these skills to ace Data Scientist, Sports in Manchester
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 candidates who are not just data whizzes but also have a genuine enthusiasm for the field!
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!
Be Specific About Your Experience:Use concrete examples to showcase your experience with predictive models and large datasets. We appreciate clarity and detail, so let us know how you’ve tackled challenges in your previous roles.
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 from our team!
How to prepare for a job interview at bet365
✨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. Having specific examples will show your expertise and passion for the field.
✨Show Off Your Coding Skills
Make sure you're comfortable with Python or R, and be prepared to demonstrate your knowledge of machine learning frameworks like scikit-learn or TensorFlow. You might be asked to solve a coding problem on the spot, so practice common algorithms and data manipulation tasks beforehand.
✨Dive into Data
Familiarise yourself with handling large datasets and cloud computing environments. Be ready to discuss your experience with data cleaning, analysis, and model optimisation. Highlight any projects where you’ve successfully extracted insights from complex data.
✨Stay Current with Trends
Research recent developments in sports betting and data science. Being able to discuss innovative solutions or novel approaches from academic literature will impress interviewers and show that you're proactive about staying informed in this fast-paced industry.
