Senior Data Scientist

Salary: $94,000 - 134,000 per year Requirements: Proven experience in a fast-moving, agile, or startup-style setting, with a strong drive to deliver incrementally and achieve results. Previous experience mentoring, coaching, or leading data scientists or engineers while staying hands-on with coding. Strong history of designing, developing, deploying, and supporting machine learning models in production. Excellent communication skills, with the ability to build effective cross-functional relationships and explain technical ideas as business outcomes to technical and non-technical audiences. Advanced programming ability in Python, with deep knowledge of data science libraries such as Scikit-learn, Pandas, NumPy, and XGBoost. Strong SQL skills for querying and working with large datasets, ideally in Google BigQuery. Practical experience with Google Cloud Platform, ideally including the Vertex AI suite such as Pipelines, Workbench, and Endpoints. MSc or PhD in a quantitative subject such as Computer Science, Statistics, Mathematics, or Engineering, or equivalent industry experience. Familiarity with containerisation tools such as Docker and Kubernetes, along with CI/CD principles for machine learning. Experience with real-time stream processing or event-driven architectures such as Kafka. Responsibilities: Develop, code, and deploy AI, machine learning, and predictive models, setting the standard for technical delivery and code quality. Coach, support, and guide a practical, delivery-oriented team of Junior Data Scientists and Machine Learning Engineers while fostering rapid experimentation, continuous learning, and strong software engineering practices. Work closely with the Data Team Lead, Data Product Lead, and AgentOps Team Lead to align data science initiatives with product plans and platform capabilities. Collaborate regularly with our UK-based Data Science team to exchange methods, align standards, and use global technical expertise. Turn complex and ambiguous business questions into focused data science initiatives, delivering measurable value through fast prototyping and deployment. Partner with Machine Learning Engineers to drive robust MLOps adoption on our Google Cloud Platform stack, ensuring models are automated, monitored, and scalable. Build data science workflows, standards, and code repositories from the ground up in a new regional office. Technologies: AI BigQuery CI/CD Cloud Docker Support Kafka Kubernetes Machine Learning MLOps Python SQL numpy pandas GCP More: We are working with Bet365 to connect them with exceptional professionals for this role. As a Senior Data Scientist, you will help accelerate our end-to-end machine learning lifecycle, building on our established data science foundation to expand impact and automate business decisions. Our team is at the forefront of business decision-making, and we are scaling our influence with a focus on automation and advanced MLOps practices on Google Cloud. This is a key technical leadership opportunity in a fast-paced, high-impact environment, where you will help improve Sports and Gaming products across areas such as Trading, Fraud, Responsible Gaming, and Personalization. last updated 36 week of 2026