WHO WE ARE LOOKING FOR

A Junior Data Scientist, who will help develop probabilistic models that power real-time betting markets, applying state of the art machine learning techniques to sports data while collaborating with talented professionals in a fast-paced and dynamic environment.
The Quantitative Analysis, Sports team is vital for designing, developing, and maintaining sophisticated mathematical models to provide accurate pricing across the Business sports betting products.
You will work with extensive sports datasets to develop models that determine odds and support in-play betting decisions. You will work in a fast-paced, delivery-focused environment, which will offer significant opportunities for technical growth and innovation. You will be part of a collaborative team that values creativity and data-driven insights.
This role is eligible for inclusion in the Company’s hybrid working from home policy.
The salary range for this position is between $60,000 to $85,000 annually.
bet365 provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

PREFERRED SKILLS AND EXPERIENCE

Degree in mathematics, statistics, data science or computer science.
Experience building predictive models from data.
Expertise in statistical analysis and probability theory applied to real-world problems.
Expertise in Python and R skills, with experience in Machine Learning frameworks such as scikit-learn, TensorFlow, and PyTorch.
Strong verbal and written communication skills to present complex data-driven insights to both technical and non-technical audiences.
A keen interest in a wide range of sports and the online gambling industry.
Ability to optimize models for both accuracy and computational efficiency.
Experience handling and analyzing large datasets.
Familiarity with cloud computing environments.
Experience with version control, CI/CD pipelines, and software development best practices.

Conducting analysis of large datasets to extract insights and inform decision-making in sports betting.
Identifying and resolving data quality issues or bugs affecting models or analysis.
Designing and implementing predictive models for real-time odds calculations.
Assessing existing models and algorithms to identify areas for improvement.
Performing statistical validation of models against historical and live data.
Collaborating with trading teams to incorporate domain expertise into mathematical models.
Optimizing model performance for both accuracy and computational efficiency.
Researching and implementing novel approaches from academic literature and industry developments.
Devising innovative solutions for undefined problems.
Identifying and defining new opportunities for data driven insights.