As a Data Scientist, you will pioneer Gen AI and multi-agentic systems at scale within CommBank, driving innovation and organizational strategy for advanced AI deployment
Job Summary
As a Data Scientist, you will pioneer Gen AI and multi-agentic systems at scale within CommBank, driving innovation and organizational strategy for advanced AI deployment.
You will lead end-to-end development of state-of-the-art LLMs and multi-modal generative models tailored for financial domains, while ensuring robust safety and compliance.
You will collaborate with product, engineering, and business teams to define high-impact use cases and mentor junior team members, representing CommBank in the broader AI community.
Matching Summary
As a Data Scientist, you will pioneer Gen AI and multi-agentic systems at scale within CommBank, driving innovation and organizational strategy for advanced AI deployment.
Skills & Requirements
Must-have
Generative AI solution development
Multi-agent system engineering
LLM-backed application design
Guardrails and responsible AI deployment
Enterprise-grade cloud deployment
Python software engineering
Prompt engineering and agent orchestration
Nice-to-have
Mentorship and thought leadership
Open-source contribution
Cross-functional stakeholder collaboration
Experience with regulated industries
Experimentation and innovation mindset
Key Requirements
6+ years experience in ML, Deep Learning, or Generative AI
Bachelor’s or master’s degree in computer science or related field
Experience with financial services or regulated industries
Proven track record of Gen AI innovation and adoption
Experience with transformer architectures and model optimization