Senior Data Scientist

About the role

About The Company

Bet365 is a leading global online gambling and betting company renowned for its innovative approach, extensive sports coverage, and commitment to responsible gaming. With a strong presence in the industry, Bet365 leverages cutting-edge technology and data-driven strategies to enhance user experience and operational efficiency. The company prides itself on fostering a dynamic and inclusive workplace environment that encourages continuous learning, innovation, and professional growth. Bet365's dedication to excellence and its forward-thinking culture make it an ideal place for talented professionals to thrive and contribute to shaping the future of digital betting and gaming.

About The Role

As a Senior Data Scientist at Bet365, you will play a pivotal role in advancing our machine learning capabilities and automating critical business processes. This position involves leading the end-to-end lifecycle of machine learning solutions, from initial research and development to deployment, monitoring, and continuous improvement. You will collaborate closely with cross-functional teams, including data engineers, product managers, and business stakeholders, to translate complex business challenges into innovative data science initiatives. This role offers an exciting opportunity to apply your expertise in a fast-paced environment, focusing on areas such as trading, fraud detection, responsible gaming, and personalization. You will also be instrumental in establishing MLOps practices on Google Cloud Platform, ensuring our models are scalable, reliable, and automated for maximum impact.

Qualifications

The ideal candidate will possess a strong academic background with a Master’s or PhD in Computer Science, Statistics, Mathematics, Engineering, or a related field, complemented by practical industry experience. Proven experience working in agile, startup-like environments is essential, demonstrating a passion for delivering value iteratively. You should have a track record of designing, building, deploying, and maintaining machine learning models in production settings. Expertise in Python programming and familiarity with data science libraries such as Scikit-learn, Pandas, NumPy, and XGBoost are required. Advanced SQL skills, particularly with Google BigQuery, are highly desirable. Hands-on experience with Google Cloud Platform, especially within the Vertex AI ecosystem—including Pipelines, Workbench, and Endpoints—is critical. Knowledge of containerization tools like Docker and Kubernetes, as well as CI/CD principles, is preferred. Additionally, experience with real-time stream processing frameworks such as Kafka will be advantageous.

Responsibilities

Design, develop, and deploy AI, machine learning, and predictive models, leading by example in technical execution, code quality, and best practices. This role emphasizes hands-on involvement rather than pure management.

Build, mentor, and guide a pragmatic, delivery-focused team of Junior Data Scientists and Machine Learning Engineers, fostering a culture of rapid iteration, continuous learning, and disciplined software engineering.

Collaborate closely with the Data Team Lead, Data Product Lead, and AgentOps Team Lead to align data science initiatives with product roadmaps and platform capabilities, ensuring strategic coherence.

Engage regularly with the UK-based Data Science team to share methodologies, align standards, and leverage global technical expertise, promoting cross-team collaboration.

Translate complex and ambiguous business questions into clear, actionable data science projects, delivering measurable business value through rapid prototyping, testing, and deployment cycles.

Partner with Machine Learning Engineers to implement robust MLOps practices on Google Cloud Platform, automating model deployment, monitoring, and scaling to ensure operational excellence.

Establish and maintain data science workflows, standards, and code repositories from scratch within a regional office, setting the foundation for future growth and consistency.

Benefits

Bet365 offers a comprehensive benefits package designed to support the well-being and professional development of its employees. This includes competitive salary packages, health and dental insurance, and retirement savings plans. The company fosters a collaborative and innovative work environment, providing access to cutting-edge tools and technologies. Employees are encouraged to pursue continuous learning through training programs, conferences, and certifications. Bet365 also promotes work-life balance with flexible working arrangements and a supportive culture that values diversity and inclusion. Additionally, there are opportunities for career progression and leadership development within a global organization committed to recognizing and rewarding talent.

Equal Opportunity

Bet365 is an equal opportunity employer committed to creating an inclusive environment for all employees. We celebrate diversity and are dedicated to ensuring that all individuals have equal access to employment opportunities regardless of race, gender, age, religion, sexual orientation, disability, or any other characteristic protected by law. We believe that embracing diversity fosters innovation and drives our success, and we are committed to maintaining a workplace where everyone feels valued, respected, and empowered to contribute their best.