Chapter Lead AI: GenAI, Credit Modeling & Home Buying

Narooma; Melbourne; Hybrid; AUD 150,000 - 190,000; Full time

Job summary

Commonwealth Bank of Australia in Melbourne seeks a senior data science/ML leader to drive advanced AI initiatives in Retail Banking Services. You will lead the design and deployment of ML models, including Generative AI, to deliver strategic customer and business outcomes.

Reporting to the Chapter Area Lead, Home Buying, you will partner with product, engineering and risk teams to advance deployment pipelines, ensure responsible AI, and expand AI use across banking challenges.

Qualifications

• Strong foundation in statistics, probability and machine learning.
• Experience with production ML solutions and ML model deployment.
• Knowledge of Generative AI, LLMs or conversational AI domains.

Responsibilities

• Lead the design, development and implementation of ML models for business and customer outcomes.
• Apply statistical methods to credit-modelling challenges in home buying.
• Progress models from exploration to deployment and monitoring.
• Design Generative AI capabilities including retrieval-augmented generation and guardrails.
• Identify opportunities to expand responsible AI across Retail Banking Services.
• Collaborate with product, engineering, risk and stakeholders to translate insights into action.
• Establish practices for feature engineering, model evaluation and production deployment.

Skills

Statistics & probability

Machine learning

Python programming

Generative AI

Large language models

Communication

Education

Bachelor's degree in Data Science/CS/Statistics

Tools

Spark

SQL

TensorFlow

PyTorch

R

Job description

Commonwealth Bank of Australia in Melbourne seeks a senior data science/ML leader to drive advanced AI initiatives in Retail Banking Services. You will lead the design and deployment of ML models, including Generative AI, to deliver strategic customer and business outcomes.

Reporting to the Chapter Area Lead, Home Buying, you will partner with product, engineering and risk teams to advance deployment pipelines, ensure responsible AI, and expand AI use across banking challenges.