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.

• 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.

• 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 41 week of 2026