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 lead end-to-end delivery of GenAI and Agentic AI solutions, alongside machine learning and NLP models. The role shapes customer and adviser experiences in the Mass Affluent segment, moving AI initiatives from experimentation to production.

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 across 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, 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.