Senior Data Scientist, ML, NLP, GenAI, Agentic AI at Commonwealth Bank in Sydney CBD Area

Job description

• 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.

Responsibilities

• 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.

Requirements

• 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.

Skills

Required

• Machine learning
• Natural Language Processing (NLP)
• Large Language Models (LLMs)
• GenAI applications
• Agentic AI
• AI assistants
• Autonomous workflows
• Coding agents
• Evaluation frameworks
• LLM-as-judge
• Guardrails
• Hallucination testing

Preferred

• Financial services experience
• Wealth management experience
• Superannuation experience