Chapter Lead, Data Science (operations)

Bonneville Bank

Melbourne, Australia
Hybrid
Generative ai experience with rag
Hands-on machine learning and deep learning
Cloud platform deployment on aws or azure
This role involves leading a team of data scientists within the Chief Operations Office to drive AI innovation across the bank

Job Summary

  • This role involves leading a team of data scientists within the Chief Operations Office to drive AI innovation across the bank.
  • Candidates must have hands-on experience 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 in Melbourne or Perth hubs.

Matching Summary

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

Skills & Requirements

Must-have

  • Generative AI experience with RAG
  • Hands-on machine learning and deep learning
  • Cloud platform deployment on AWS or Azure
  • MLOps and production model lifecycle management
  • Natural language data expertise
  • Statistical evaluation and experimentation skills

Nice-to-have

  • Growth mindset and intellectual curiosity
  • Inclusive team culture leadership
  • Cross-functional collaboration skills
  • Continuous learning and adaptation
  • Strategic business value translation

Key Requirements

  • Demonstrated capability in driving reusable outcomes
  • Proven ability to lead and mentor teams
  • Experience with scalable AI architectures

Work Rights

Not specified

Tailored Resume

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