Senior Data Scientist

Commonwealth Bank; Sydney; On-site; AUD 140,000 - 190,000; Full time

Job summary

Commonwealth Bank's Chief Operations Office is hiring a Senior Data Scientist to build production-ready generative AI, agentic AI and ML solutions, turning complex operational challenges into scalable, responsible outcomes.

You'll work in a cross-functional squad with data scientists, engineers and operations teams, deploying models from experimentation to production and ensuring governance, monitoring and value delivery across the organisation.

Qualifications

• Experience developing and deploying statistical and machine learning models.
• Practical generative AI experience, including prompt engineering, retrieval-augmented generation, guardrails and evaluation.
• Familiarity with agentic frameworks such as LangChain or LangGraph.
• Hands-on capability with Python, SQL and relevant tools such as Spark, TensorFlow or PyTorch.
• Experience with AWS or Azure, containers, data pipelines, version control and continuous integration and deployment.
• Understanding of feature engineering, model evaluation, production monitoring and responsible AI.
• An experimentation mindset and the ability to demonstrate value in a customer and business context.
• Strong collaboration skills across data science, engineering, operations and stakeholder groups.

Responsibilities

• Design, develop, deploy and monitor generative AI, agentic AI and machine learning solutions.
• Build applications using retrieval-augmented generation, orchestration, guardrails and evaluation frameworks.
• Develop models across natural language processing, classification and unsupervised learning.
• Translate operational challenges into practical data and AI solutions with measurable outcomes.
• Apply robust experimentation, feature engineering, model selection and evaluation practices.
• Partner with engineers to create scalable and maintainable production solutions.
• Support responsible AI through appropriate validation, governance, risk and monitoring practices.

Skills

Python

SQL

Data science

Experimentation

Collaboration

Tools

Spark

TensorFlow

PyTorch

LangChain

LangGraph

AWS

Azure

Docker

Kubernetes

Git

CI/CD

Orchestration

Job description

• Build production-ready generative AI, agentic AI and machine learning solutions.
• Improve experiences for customers and colleagues through responsible AI.
• Work with modern AI, cloud and engineering technologies.

Do Work That Matters

At the heart of the Chief Operations Office, we’re reimagining how we serve customers through transformative AI.

As a Senior Data Scientist, you’ll combine strong data science foundations with emerging generative AI and agentic capabilities. Working in a cross-functional squad, you’ll turn complex operational challenges into scalable, responsible solutions that deliver meaningful customer and business outcomes.

See yourself in our team

Be part of the team that keeps CommBank moving forward. The Chief Operations Office brings together strategy, operations and transformation to deliver better outcomes for our customers and colleagues. Join a collaborative team where you’ll solve complex challenges, drive meaningful change and make an impact across the organisation while growing your career.

Reporting to a Chapter Lead of Data Science, you’ll work with data scientists, engineers, operations teams and other specialists to take ideas from experimentation through to production.

You will:

• Design, develop, deploy and monitor generative AI, agentic AI and machine learning solutions.
• Build applications using retrieval-augmented generation, orchestration, guardrails and evaluation frameworks.
• Develop models across natural language processing, classification and unsupervised learning.
• Translate operational challenges into practical data and AI solutions with measurable outcomes.
• Apply robust experimentation, feature engineering, model selection and evaluation practices.
• Partner with engineers to create scalable and maintainable production solutions.
• Support responsible AI through appropriate validation, governance, risk and monitoring practices.

We’re interested in hearing from people who:

You’re an experienced data scientist who combines technical depth with curiosity, commercial judgement and a strong understanding of business context. You enjoy collaborating across disciplines and turning emerging ideas into practical solutions.

• Strong experience developing and deploying statistical and machine learning models.
• Practical generative AI experience, including prompt engineering, retrieval-augmented generation, guardrails, orchestration and evaluation.
• Familiarity with agentic frameworks such as LangChain or LangGraph.
• Hands-on capability with Python, SQL and relevant tools such as Spark, TensorFlow or PyTorch.
• Experience with AWS or Azure, containers, data pipelines, version control and continuous integration and deployment.
• Understanding of feature engineering, model evaluation, production monitoring and responsible AI.
• An experimentation mindset and the ability to demonstrate value in a customer and business context.
• Strong collaboration skills across data science, engineering, operations and stakeholder groups.

You’ll have opportunities to deepen your expertise, contribute to evolving AI practices and help shape how responsible AI delivers real-world impact.

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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Advertising End Date: 12/09/2026