At a Glance
- Tasks: Lead the development of advanced models for real-time sports betting markets.
- Company: Join a global leader in the sports betting industry with a passion for innovation.
- Benefits: Enjoy hybrid working, eye care, flu vaccinations, and life assurance.
- Other info: Dynamic environment with opportunities for technical growth and mentoring.
- Why this job: Make a real impact by leveraging data to shape the future of sports betting.
- Qualifications: Master’s or PhD in a quantitative field; expertise in Python/R and machine learning.
The predicted salary is between 70000 - 90000 € per year.
As a Lead Data Scientist, you will spearhead the development of advanced 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 while leveraging state-of-the-art machine learning techniques to analyse and interpret complex sports data. 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- Ability to leverage in-depth knowledge of sports and online gambling to develop relevant, impactful models aligned with business objectives.
- Master’s degree or PhD in Mathematics, Data Science, Computer Science, or a related quantitative field.
- Proven success in leading the design, development, and deployment of sophisticated predictive models.
- Expertise in Python/R and ML frameworks, such as scikit-learn, TensorFlow, or PyTorch.
- Proven ability to design and implement complex machine learning solutions and guiding best practice.
- Deep understanding of statistical analysis and probability theory.
- Demonstrable experience overseeing the implementation of highly accurate, computationally efficient, and scalable models for large-scale production environments.
- Track record of mentoring junior colleagues and successfully leading technical projects.
- Experience with cloud computing environments for scalable solutions.
- Leading the development and implementation of innovative data solutions for complex challenges, solving problems without prescriptive approaches.
- Overseeing advanced analysis of large datasets to derive actionable insights aligned with business objectives.
- Developing predictive models and algorithms using statistical techniques and machine learning.
- Conducting and supervising rigorous statistical validation of models against historical and live data.
- Collaborating with trading teams to incorporate domain expertise into mathematical models.
- Partnering with software architects and developers to ensure alignment with technical solutions.
- Optimising model performance for both accuracy and computational efficiency.
- Researching and implementing novel approaches from academic literature and industry advancements.
- Mentoring less experienced team members, providing guidance, and conducting quality assurance to enhance overall team performance and capabilities.
- Identifying and defining new opportunities for data-driven insights.
- Eye care and Flu Vaccinations
- Life Assurance
Life at bet365: 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.
Lead Data Scientist, Sports in Manchester employer: bet365 Group
At bet365, we pride ourselves on being a leading global operator in the sports betting industry, offering a dynamic and innovative work environment for our employees. As a Lead Data Scientist, you will not only have the opportunity to develop cutting-edge models that influence real-time betting markets but also benefit from a culture that prioritises personal growth, collaboration, and technical excellence. With a hybrid working policy and a commitment to employee well-being, including perks like eye care and flu vaccinations, bet365 is dedicated to fostering a supportive atmosphere where your contributions truly matter.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Scientist, Sports in Manchester
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or conferences related to data science and sports betting. You never know who might have a lead on your dream job or can offer valuable insights.
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those involving predictive models or machine learning. Share your work on platforms like GitHub or even your own website. This gives potential employers a taste of what you can do!
✨Ace the Interview
Prepare for technical interviews by brushing up on your Python/R skills and understanding of statistical analysis. Be ready to discuss your past projects and how you've tackled complex problems. Practice makes perfect!
✨Apply Through Our Website
Don’t forget to apply directly 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 StudySmarter.
We think you need these skills to ace Lead Data Scientist, Sports in Manchester
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your expertise in Python, R, and machine learning frameworks. We want to see how your skills align with the role of Lead Data Scientist, so don’t hold back on showcasing your technical prowess!
Tailor Your Application:Customise your CV and cover letter to reflect the specific requirements mentioned in the job description. We love seeing candidates who take the time to connect their experience with what we’re looking for in this role.
Share Your Passion for Sports:Since this role is all about sports data, let us know about your passion for sports and online gambling. We’re keen to see how your interests can drive innovative solutions in our betting products.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensure you’re considered for this exciting opportunity.
How to prepare for a job interview at bet365 Group
✨Know Your Models Inside Out
Make sure you can discuss the probabilistic models you've developed in detail. Be ready to explain your thought process, the techniques you used, and how they align with business objectives. This shows your depth of knowledge and passion for the role.
✨Brush Up on Your Tech Skills
Since expertise in Python/R and ML frameworks is crucial, ensure you're comfortable discussing your experience with tools like scikit-learn, TensorFlow, or PyTorch. Prepare to share specific examples of projects where you implemented these technologies successfully.
✨Showcase Your Statistical Savvy
Be prepared to dive into statistical analysis and probability theory during the interview. You might be asked to solve a problem on the spot, so practice explaining your approach to statistical validation and model performance optimisation.
✨Demonstrate Leadership and Mentorship
As a Lead Data Scientist, you'll need to show that you can guide and mentor junior colleagues. Share examples of how you've led technical projects and supported team members in their growth. This will highlight your leadership skills and commitment to team success.
