At a Glance
- Tasks: Lead the development of innovative data solutions and predictive models for sports betting.
- Company: Join bet365, a global leader in the sports betting industry with a vibrant culture.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Mentor junior team members and thrive in a fast-paced, collaborative environment.
- Why this job: Make an impact by leveraging data to enhance real-time betting markets.
- Qualifications: Master’s or PhD in a quantitative field and expertise in Python/R and ML frameworks.
The predicted salary is between 63000 - 77000 £ per year.
As a Lead Data Scientist, you will spearhead the development of advanced probabilistic models that power real-time betting markets.
Full-time Closes 04/11/2026 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 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 Ph D 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, Tensor Flow, or Py Torch, 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.
What you will be doing 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.
Hiring Statement At bet365, we're committed to creating an environment where everyone feels welcome, respected and valued.
Where all individuals can grow and develop, regardless of their background.
We're Never Ordinary, and we're always striving to be better.
If you need any adjustments or accommodations to the recruitment process, at either application or interview, please don’t hesitate to reach out.
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. #J-18808-Ljbffr
Lead Data Scientist, Sports employer: Bet365careers
At bet365, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Senior Enterprise Apps Engineer, you will not only have the opportunity to lead impactful projects in a hybrid work environment but also benefit from continuous professional development and mentorship. Our commitment to employee growth, coupled with the chance to work with cutting-edge technology in a global setting, makes bet365 a truly rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Scientist, Sports
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We think you need these skills to ace Lead Data Scientist, Sports
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at Bet365careers
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Bet365careers!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
