Chapter Lead AI

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

• Lead the design and delivery of advanced machine learning, Generative AI and agentic AI solutions for home buying.
• Solve complex credit-modelling challenges and influence high-priority initiatives across Retail Banking Services.
• Work with modern data science, cloud and engineering technologies to help shape the future of banking through responsible AI.

Grow. Belong. Shape what’s next.

Do work that matters.

At CommBank, we have an ambitious goal to lead the way in how artificial intelligence transforms banking. With strong support from our senior leadership, we are investing in AI capabilities that can deliver better experiences for our customers and create meaningful value for the communities we serve.

Reporting to the Chapter Area Lead, Home Buying, you will provide technical leadership and deliver high-priority AI and machine learning initiatives across Retail Banking Services.

This role combines deep machine learning expertise, statistical rigour and structured problem solving with the opportunity to apply Generative AI and agentic AI. Your initial focus will include credit modelling for home buying, with the opportunity to expand the use of data science and AI across a broader range of banking challenges.

See yourself in our team.

Be part of the team at the heart of how CommBank serves Australia. Retail Banking Services supports more than 10 million personal and small business customers through market-leading products, services and digital experiences.

You will join a team focused on using data, machine learning and emerging AI technologies to solve complex problems and deliver better customer and business outcomes.

In this role, you will:

• Lead the design, development and implementation of machine learning models that support strategic business and customer outcomes.
• Apply statistical methods and structured problem solving to complex credit-modelling challenges within home buying.
• 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 translate technical insights into action.
• Establish strong technical practices across feature engineering, model selection, evaluation, documentation and production deployment.
• Contribute to the ongoing development of AI and machine learning capability through knowledge sharing, technical guidance and collaboration.

We’re interested in hearing from people who:

You are an experienced data science or machine learning practitioner who enjoys solving complex problems and turning emerging technologies into practical outcomes. You combine strong technical judgement with the ability to communicate clearly and build trusted stakeholder relationships.

You will bring:

• A strong foundation in statistics, probability and machine learning, including the ability to interpret, evaluate and explain model behaviour.
• Advanced Python capability and substantial experience designing, developing and deploying machine learning models.
• Experience with Generative AI, large language models or conversational AI, including prompt engineering, Retrieval-Augmented Generation, orchestration or guardrail design.
• Experience developing production solutions using relevant technologies such as Spark, SQL, TensorFlow, PyTorch or R.
• An understanding of data engineering, ETL processes, data pipelines, version control and continuous integration and delivery practices.
• Experience with cloud-based environments such as AWS or Azure, and familiarity with containerisation technologies such as Docker.
• Strong written and verbal communication skills, with the ability to document technical work and engage stakeholders from technical and non-technical backgrounds.
• A tertiary qualification in Data Science, Statistics, Computer Science or a related discipline.

Working with us:

At CommBank, we’re committed to creating an accessible, inclusive and respectful workplace. If you require support or adjustments, please let us know. We welcome applications from people of all backgrounds and we’re particularly committed to making a positive difference for Aboriginal and/or Torres Strait Islander Peoples. For support please contact 1800 989 696.

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