Chapter Lead, Data Science (operations)

756

Melbourne, Australia
Not specified; not specified; not specified
Hybrid
Generative ai solution design and deployment
Natural language data expertise
Mlops and production model lifecycle management
This role involves leading a chapter of data scientists within the Chief Operations Office to drive AI innovation across the bank

Job Summary

  • This role involves leading a chapter of data scientists within the Chief Operations Office to drive AI innovation across the bank.
  • Candidates must demonstrate hands-on capability in designing and deploying Generative AI solutions including RAG and agentic systems.
  • The position offers a hybrid work arrangement requiring at least half-time office presence with flexible working options available.

Matching Summary

This role involves leading a chapter of data scientists within the Chief Operations Office to drive AI innovation across the bank.

Salary

Not specified; Not specified; Not specified

Skills & Requirements

Must-have

  • Generative AI solution design and deployment
  • Natural language data expertise
  • MLOps and production model lifecycle management
  • Cloud platform experience (AWS or Azure)
  • Hands-on technical leadership of data scientists

Nice-to-have

  • Fostering inclusive team culture
  • Intellectual curiosity for emerging tech
  • Cross-functional collaboration skills
  • Strategic business value translation

Key Requirements

  • Demonstrated capability in driving reusable outcomes
  • Strong grounding in classical and deep learning
  • Experience defining fit-for-purpose evaluation metrics

Work Rights

Not specified

Tailored Resume

Cover Letter