At a Glance
- Tasks: Develop cutting-edge models for real-time sports betting using advanced machine learning techniques.
- Company: Join bet365, a global leader in online gambling with a culture of innovation.
- 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 your data science skills.
- Qualifications: Degree in a quantitative field and experience in predictive modelling and machine learning.
- Other info: Collaborative environment with opportunities to mentor and lead projects.
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 Stoke-on-Trent employer: bet365
Contact Detail:
bet365 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist, Sports in Stoke-on-Trent
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at bet365. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your data science prowess, especially with sports datasets. This will give you an edge during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on your machine learning techniques and be ready to discuss how you've applied them in real-world scenarios. Confidence is key!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're serious about joining the bet365 team.
We think you need these skills to ace Senior Data Scientist, Sports in Stoke-on-Trent
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 that showcase your skills in sports data analysis.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about sports data science and how your background aligns with bet365's innovative culture. Don’t forget to mention your understanding of the online gambling industry!
Showcase Your Technical Skills: Be specific about your technical expertise in Python/R and any frameworks you've used like TensorFlow or PyTorch. Include examples of complex models you've developed and how they’ve impacted previous projects or teams.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of success. It’s the easiest way for us to review your application and get you on the path to joining our dynamic team!
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 Communication Skills
You’ll need to present complex data-driven insights to both technical and non-technical audiences. Practice explaining your past projects in simple terms, focusing on the impact of your work rather than just the technical details. This will help you stand out as someone who can bridge the gap between data science and business needs.
✨Showcase Your Team Spirit
Collaboration is key in this role, so be ready to share experiences where you've worked effectively within a team. Highlight any mentoring you've done or projects where you led a group. This will demonstrate your leadership skills and your ability to contribute positively to the team dynamic at bet365.