Chapter Lead AI - Home Buying

About the role

CommBank is recruiting a Chapter Lead AI to report to the Chapter Area Lead, Home Buying, and to lead the design and delivery of advanced machine learning, Generative AI and agentic AI solutions for home buying. The role sits within Retail Banking Services, which serves more than 10 million personal and small business customers, and focuses on credit modelling while expanding the use of data science and AI across banking.

Key responsibilities

• Lead the design, development and implementation of machine learning models that support business and customer outcomes.
• Solve complex credit-modelling challenges in home buying using statistical methods and structured problem solving.
• Progress models from exploration and experimentation through validation, deployment and ongoing monitoring.
• Design and develop Generative AI capabilities, including Retrieval-Augmented Generation, orchestration, guardrails and agentic AI systems.
• Identify opportunities to expand the effective and responsible use of data science, machine learning and AI across Retail Banking Services.
• Partner with product, engineering, risk and business stakeholders to define problems, evaluate trade-offs and turn technical insights into action.
• Establish technical practices across feature engineering, model selection, evaluation, documentation and production deployment.
• Share knowledge and give technical guidance to grow AI and machine learning capability.

Required profile

• Experienced data science or machine learning practitioner who enjoys solving complex problems.
• Strong technical judgement, clear communication and the ability to build trusted stakeholder relationships.
• Tertiary qualification in Data Science, Statistics, Computer Science or a related discipline.

Required skills

• Strong foundation in statistics, probability and machine learning, including interpreting and explaining model behaviour.
• Advanced Python and experience designing, developing and deploying machine learning models.
• Experience with Generative AI, large language models or conversational AI, including prompt engineering, RAG, orchestration or guardrails.
• Production experience with Spark, SQL, TensorFlow, PyTorch or R.
• Data engineering, ETL, data pipelines, version control and CI/CD.
• Cloud environments such as AWS or Azure and containerisation such as Docker.