bet365 is seeking a Senior Data Scientist to accelerate our end-to-end machine learning lifecycle and scale impact through automated, data-driven decision making. The role leads the development, deployment, and monitoring of ML solutions that optimize sports and gaming products, with a focus on advanced MLOps on Google Cloud. You will own the end-to-end lifecycle of ML projects—from ideation to production-grade models and pipelines—while mentoring other data scientists and collaborating with Product, Trading, Responsible Gaming, and other teams to identify high-impact opportunities. The ideal candidate has a PhD or MSc in a quantitative field, strong Python experience, proficiency with SQL and Google Cloud Platform (Vertex AI, BigQuery, Cloud Storage), experience with CI/CD for ML, containerization (Docker/Kubernetes), and a track record of delivering production ML systems with measurable business impact. This is a hybrid role based in Denver, United States.

bet365 is seeking a Senior Data Scientist to accelerate our end-to-end machine learning lifecycle and scale impact through automated, data-driven decision making. The role leads the development, deployment, and monitoring of ML solutions that optimize sports and gaming products, with a focus on advanced MLOps on Google Cloud. You will own the end-to-end lifecycle of ML projects—from ideation to production-grade models and pipelines—while mentoring other data scientists and collaborating with Product, Trading, Responsible Gaming, and other teams to identify high-impact opportunities. The ideal candidate has a PhD or MSc in a quantitative field, strong Python experience, proficiency with SQL and Google Cloud Platform (Vertex AI, BigQuery, Cloud Storage), experience with CI/CD for ML, containerization (Docker/Kubernetes), and a track record of delivering production ML systems with measurable business impact. This is a hybrid role based in Denver, United States.