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- Tasks: Develop predictive models for real-time sports betting using advanced machine learning techniques.
- Company: Join bet365, a leading online gambling company with a global reach.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for technical growth.
- Why this job: Make an impact in the exciting world of sports betting with cutting-edge technology.
- Qualifications: Degree in a quantitative field and experience in machine learning and statistical analysis.
- Other info: Collaborative environment with opportunities to mentor and innovate.
The predicted salary is between 36000 - 60000 £ per year.
bet365 is a leading online gambling company with a global presence. Founded in 2000, it employs over 9,000 people and serves over 100 million customers in 27 languages. The company focuses on In-Play betting and offers an experience across 96 sports with extensive live content and high-volume activity. We empower our employees to push boundaries and explore new ideas, cultivating a culture that rewards creativity and growth. bet365 is committed to software innovation and redefining what is possible for customers worldwide.
As a Senior Data Scientist, you will develop probabilistic models that power real-time betting markets. The Quantitative Analysis team designs, develops, and maintains sophisticated mathematical models to provide accurate pricing across our sports betting products. You will work with extensive sports datasets to develop models that determine odds and power in-play betting decisions, applying state-of-the-art machine learning techniques in a fast-paced, dynamic environment. The role offers significant opportunities for technical growth and innovation and is eligible for inclusion in the Company’s hybrid working policy.
Qualifications- Proven track record of designing, developing, and deploying sophisticated predictive models.
- Degree in Mathematics, Data Science, Computer Science, or a related quantitative field.
- Excellent understanding of statistical analysis and probability theory, with the ability to apply advanced techniques to complex, real-world problems.
- Mastery of Python/R, with extensive experience in designing and implementing complex machine learning solutions using frameworks such as scikit-learn, TensorFlow, or PyTorch.
- Excellent verbal and written communication skills for presenting complex data-driven insights to both technical and non-technical audiences.
- Strong understanding of a wide range of sports and the online gambling industry.
- Demonstrated ability to design and implement models that are highly accurate, computationally efficient and scalable for large-scale production environments.
- Experience mentoring junior colleagues, leading technical projects, and contributing to the success of a team.
- Experience with cloud computing environments.
- Apply probabilistic modelling to power real-time betting markets.
- Design, develop, and maintain mathematical models for pricing across sports betting products.
- Leverage large sports datasets to inform model development and betting decisions.
- Apply machine learning techniques in a fast-paced environment and collaborate with cross-functional teams.
- Contribute to technical growth, innovation, and quality of work.
- Applying creative and innovative thinking to solve complex problems without prescriptive solutions.
- Conducting advanced analysis of large datasets to extract insights for decision-making in sports betting.
- Utilising statistical techniques and machine learning algorithms to develop predictive models and algorithms.
- Performing rigorous statistical validation of models against historical and live data.
- Collaborating with trading teams to incorporate domain expertise into mathematical models.
- Collaborating with Software Architects and developers to ensure alignment with technical solutions.
- Optimising model performance for accuracy and computational efficiency.
- Researching and implementing novel approaches from academic literature and industry developments.
- Providing support to less experienced team members and carrying out QA of work.
- Identifying and defining new opportunities for data-driven insights.
At bet365, we are committed to creating an environment where everyone feels welcome, respected and valued. If you need any adjustments or accommodations to the recruitment process, at either application or interview, please reach out.
Senior Data Scientist, Sports in Manchester employer: bet365
Contact Detail:
bet365 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist, Sports in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at bet365. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your data science prowess. When you get the chance to chat with hiring managers, having something tangible to discuss can really set you apart.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your Python/R skills and machine learning techniques. The more comfortable you are, the better you'll perform when it counts.
✨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 the bet365 team.
We think you need these skills to ace Senior Data Scientist, Sports in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with probabilistic models and machine learning techniques, as well as any relevant projects you've worked on in the sports or gambling industry.
Showcase Your Skills: Don’t just list your skills; demonstrate them! Use specific examples of how you've applied Python/R and statistical analysis in real-world scenarios. This will help us see your expertise in action.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you're passionate about data science in sports and how you can contribute to our team. Keep it engaging and personal – we want to get to know you!
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’s super easy!
How to prepare for a job interview at bet365
✨Know Your Models Inside Out
As a Senior Data Scientist, you'll be expected to have a deep understanding of the probabilistic models you’ve developed. Be ready to discuss your approach to model design, the algorithms you used, and how you validated their performance. Prepare examples that showcase your ability to apply advanced statistical techniques to real-world problems.
✨Brush Up on Sports Knowledge
Since this role is in the sports betting industry, having a solid grasp of various sports and their dynamics is crucial. Familiarise yourself with the latest trends in sports analytics and be prepared to discuss how they can influence betting markets. This will show your passion for the field and your ability to integrate domain knowledge into your data science work.
✨Demonstrate Your Technical Skills
You’ll need to showcase your mastery of Python or R, especially in machine learning frameworks like scikit-learn or TensorFlow. Bring along a portfolio of projects or code samples that highlight your experience in designing and implementing complex solutions. Be ready to explain your thought process and the challenges you faced during development.
✨Communicate Clearly and Effectively
Your ability to present complex data-driven insights to both technical and non-technical audiences is key. Practice explaining your work in simple terms, focusing on the impact of your models rather than just the technical details. This will demonstrate your communication skills and your ability to collaborate with cross-functional teams.
