See yourself in our team: At the heart of the Chief Operations Office, we’re reimagining how we serve customers in operations through the power of transformative AI solutions. As a Senior Data Scientist reporting to a Chapter Lead of Data Science in COO, you’ll be a hands-on technical data scientist working in a cross-functional squad with engineers and other experts to design and deliver innovative, responsible and high impact AI solutions. You’ll stay at the forefront of emerging technologies, translating complex ideas into high-impact outcomes for our customers and colleagues. You ’ ll contribute to guiding the team on technically demanding problems across COO as AI continues to evolve. If you’re passionate about shaping the future of AI, we’d love you to lead with us. Key Responsibilities: GenAI and Agentic systems: Prototype, design, develop, deploy and design monitoring for innovative GenAI and Agentic solutions that reimagine the customer service experience. Machine Learning Models: Prototype, design, develop, deploy and design monitoring for a variety of machine learning models Drive Continuous Improvement and Business Outcomes: work closely with operations teams to understand their experience, pioneering adoption and application of transformative AI and Gen AI capabilities and paving the path for how the bank will operate to towards the vision of re-imagined banking and customer service. We’re interested in hearing from people with the following skills: Technical C ollaboration and Continuous Applied Learning : Experience collaborating with software engineers and other data scientists to develop production-ready AI. Applied experimentation mindset to be familiar with the latest and most exciting patterns in AI, workshop new ideas with others and quickly demonstrate value of those ideas within a business and customer context. Technical Skills and Tools: Generative AI: Experience designing and deploying various aspects of Generative AI, including prompt engineering, Retrieval-Augmented Generation (RAG), guardrail design, orchestration design, skills, evals frameworks, and tools such as LangChain and LangGraph. Machine Learning : Expertise in the design and construction of machine learning models, including natural language processing, unsupervised clustering and classification algorithms including feature engineering, model selection, hyperparameter tuning, model evaluation, and deployment of models into production environments. Cutting-Edge AI : Work on projects leveraging traditional AI, Generative AI, and agentic AI to pave the path for how banking and broader industry functions in the future. Version Control and CI/CD: Experience with version control and CI/CD pipelines such as GitHub. Tooling : Hands-on experience with data science tools such as Spark, Python, R, TensorFlow, PyTorch, and SQL. Data Engineering: Knowledge of ETL processes and data pipeline construction, ensuring efficient data flow and integration. Deployment : Familiar with Docker for containerization and deployment of applications. Cloud Architecture: Grounded understanding in AWS or Azure Cloud architecture and integration, demonstrating experience in deploying and managing cloud-based solutions. Working with us: Our people bring their diverse backgrounds and unique perspectives to build a respectful, inclusive, and flexible workplace with an ultimate flexibility to work from any of our engineering hubs within Australia. One where we’re driven by our values, and supported to share ideas, initiatives, and energy. One where making a positive impact for customers, communities and each other is part of our every day If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through Sidekick to submit a valid application. We’re keen to support you with the next step in your career. We're aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696. Advertising End Date: 13/05/2026