Shape the future of customer experiences through Machine Learning, NLP, GenAI and Agentic AI

• Drive innovative AI solutions that transform customer and adviser experiences across SMSF and Wealth Crew.
• Lead end-to-end delivery at scale of GenAI and Agentic AI solutions, alongside machine learning and Natural Language Processing (NLP) models.
• Influence AI strategy, governance and responsible-AI practices across Wealth & Private Banking.

At CommBank, we're investing in modern, future-ready data and AI capabilities. This is an opportunity to join our SMSF (Self-Managed Super Funds) Squad within Wealth & Private Banking and help build intelligent, customer-centric solutions that deliver real value for customers, colleagues and communities.

Do work that matters

As a Senior Data Scientist, you'll be a hands-on technical leader building an intelligent assistant that raises the standard of customer service for SMSF customers and advisers in the Mass Affluent segment of Wealth & Private Banking. You'll design, build and productionise the customer-centric models and agentic workflows behind it, partnering with product, technology and business stakeholders to identify where AI can lift service quality, resolve customer needs faster and unlock new insights.

You'll move AI initiatives from experimentation into production, taking ownership from first prototype through to a reliable, monitored service.

See yourself in our team

The SMSF and Wealth Crew is focused on customer service excellence: delivering customer-centric, data-driven solutions that enhance customer outcomes and improve the way customers interact with our Wealth and Private Banking services.

You will:

• Design, build and productionise GenAI and Agentic AI solutions.
• Apply Large Language Models (LLMs), retrieval-augmented generation (RAG) and agentic workflows to solve complex business challenges.
• Build evaluation harnesses, guardrails and adversarial safety testing for non-deterministic GenAI and agentic systems.
• Build and productionise models using modern MLOps practices and AI tooling.
• Translate complex business problems into practical AI and machine learning solutions.
• Drive best practice across model governance, monitoring, explainability and responsible AI.
• Set technical direction and lift the squad's AI capability through mentoring and design and code review.
• Partner with senior stakeholders and clearly communicate technical recommendations and trade-offs.
• Influence strategic discussions around data quality, governance, data risk and AI adoption.

We're interested in hearing from people who have:

• Strong experience designing, developing and deploying machine learning solutions in production environments.
• Deep expertise in Natural Language Processing (NLP), Large Language Models (LLMs) and GenAI applications.
• Experience developing Agentic AI solutions, AI assistants, autonomous workflows or coding agents.
• Experience evaluating and hardening LLM or agentic systems: eval frameworks, LLM-as-judge, guardrails, hallucination and safety testing.
• Hands-on programming experience with Python and SQL.
• Experience with MLOps, CI/CD, model deployment, monitoring and observability frameworks.
• Strong understanding of data governance, data quality, data risk and responsible AI principles.
• The ability to influence stakeholders and communicate complex technical concepts to non-technical audiences.
• A curious mindset and a genuine passion for customer service excellence, solving real customer problems through data and AI.

Experience within financial services, wealth management or superannuation is advantageous but not essential.

Working with us

At CommBank, we're committed to creating an accessible, inclusive and respectful workplace. We welcome applications from people of all backgrounds and are particularly committed to making a positive difference for Aboriginal and Torres Strait Islander Peoples.

Bring your ambition and we'll help you grow, belong and shape what's next through cutting-edge AI, modern data platforms and meaningful customer impact.