Senior Data Scientist - ML, NLP, GenAI, Agentic AI

About the role

CommBank's SMSF (Self-Managed Super Funds) Squad within Wealth & Private Banking is looking for a Senior Data Scientist to build an intelligent assistant that improves customer service for SMSF customers and advisers in the Mass Affluent segment. You will lead end-to-end delivery of GenAI and Agentic AI solutions alongside machine learning and NLP models, moving them from prototype to a monitored production service.

Key responsibilities

• Design, build and productionise GenAI and Agentic AI solutions, applying LLMs, RAG and agentic workflows to 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.
• Drive best practice in model governance, monitoring, explainability and responsible AI.
• Set technical direction and mentor the squad through design and code review.
• Partner with senior stakeholders and communicate technical recommendations and trade-offs.
• Influence strategic discussions on data quality, governance, data risk and AI adoption.

Required profile

• Strong experience designing, developing and deploying machine learning solutions in production.
• Deep expertise in NLP, LLMs and GenAI, and experience with Agentic AI, AI assistants or coding agents.
• Experience evaluating and hardening LLM or agentic systems (eval frameworks, LLM-as-judge, guardrails, hallucination and safety testing).
• Hands-on programming with Python and SQL.
• Ability to influence stakeholders and explain complex technical ideas to non-technical audiences.
• Experience in financial services, wealth management or superannuation is advantageous but not essential.

Required skills

• MLOps, CI/CD, model deployment, monitoring and observability frameworks.
• Data governance, data quality, data risk and responsible AI principles.