Chapter Lead - AI - Home Buying (Lead Data Scientist)

About the role

CommBank is looking for a technical leader to report to the Home Buying Chapter Area Lead and deliver high-priority AI initiatives across Retail Banking Services (RBS). The role leads the delivery of world-class AI capabilities in agentic AI, GenAI and broader AI, while building capabilities for the wider bank. It is based in the Sydney CBD area.

Key responsibilities

• Lead GenAI and agentic system design and development, expanding and adopting Generative AI solutions across RBS and optimising product offerings.
• Develop and implement machine learning models, leading the overhaul of existing models to drive strategic business outcomes for stakeholders.
• Identify AI opportunities and embed AI methodologies into a broader range of activities across the banking landscape.
• Work closely with business stakeholders to adopt and apply cutting-edge AI and GenAI capabilities, supporting the vision of re-imagined banking and customer service.

Required profile

• Ability to coordinate across the Data Science community and drive reusable, group-wide outcomes.
• Intellectual curiosity and willingness to learn, experiment and lead new concepts.
• Experience within the Commonwealth Bank Group (including Bankwest, x15ventures) must apply through the internal application process.

Required skills

• Machine learning: model design, feature engineering, hyperparameter tuning, evaluation and deployment of predictive models.
• Generative AI: prompt engineering, RAG, guardrail and orchestration design, and tools such as LangChain and LangGraph.
• Version control and CI/CD pipelines such as GitHub.
• Data science tooling: Spark, Python, R, TensorFlow, PyTorch and SQL.
• Data engineering: ETL processes and data pipeline construction.
• Docker for containerisation and deployment.
• AWS or Azure cloud architecture and integration.