Chief Data Scientist

COMMONWEALTH BANK OF AUSTRALIA

Australia
Hybrid
Hands-on agentic ai and gen ai delivery experience
Expertise in rag, prompt engineering, and guardrail design
Proficiency with aws bedrock, sagemaker, and langgraph
The Commonwealth Bank of Australia is seeking a Chief Data Scientist to lead the strategic AI roadmap for their operations, focusing on developing innovative AI solutions and fostering a high-performance culture. The ideal candidate will possess extensive experience in Generative and Agentic AI, machine learning, and team leadership. This role emphasizes collaboration, technical excellence, and the ability to drive impactful AI initiatives within the organization

Job Summary

  • This role involves providing hands-on technical and thought leadership to shape the strategic AI roadmap for the Chief Operations Office at Commonwealth Bank.
  • The successful candidate will lead the development of innovative Agentic AI and Generative AI solutions while ensuring responsible deployment and risk management.
  • The position offers the opportunity to work across cross-functional squads to design high-impact AI solutions that reimagine workflows and enhance customer experiences.

Matching Summary

Match Score: 85

The Commonwealth Bank of Australia is seeking a Chief Data Scientist to lead the strategic AI roadmap for their operations, focusing on developing innovative AI solutions and fostering a high-performance culture. The ideal candidate will possess extensive experience in Generative and Agentic AI, machine learning, and team leadership. This role emphasizes collaboration, technical excellence, and the ability to drive impactful AI initiatives within the organization.

Skills & Requirements

Must-have

  • Hands-on Agentic AI and Gen AI delivery experience
  • Expertise in RAG, prompt engineering, and guardrail design
  • Proficiency with AWS Bedrock, SageMaker, and LangGraph
  • Leadership of multidisciplinary AI and Data Science teams
  • Experience deploying ML models on enterprise infrastructure

Nice-to-have

  • Fostering a culture of curiosity and inclusion
  • Ability to translate complex ideas into high-impact outcomes
  • Cross-functional partnership with internal and external ecosystems
  • Upskilling practitioners in advanced AI techniques

Key Requirements

  • Proven experience leading high-performing multidisciplinary teams
  • Demonstrated hands-on Applied Scientist background in ML engineering
  • Expertise in building enterprise-level AI agents using Python and LLMs

Work Rights

Not specified

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