Principal Data Scientist - ML & GenAI Model Validation

Commonwealth Bank

City of Melbourne

On-site

AUD 180,000 - 240,000

Full time

37 hours ago
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Job summary

Commonwealth Bank is seeking a Principal Data Scientist to lead independent validation of ML, statistical and GenAI models at scale. You will assess fit-for-purpose, validity and risk controls across the organization, collaborating with Data Science, Engineering and Governance to uphold standards.

Strong expertise in GenAI, agentic systems and practical tooling is essential. You will guide projects, mentor data scientists, and communicate complex topics clearly to governance forums and senior

Qualifications

  • Strong ML/AI and statistics foundation, with experience evaluating models.
  • Degree in Statistics, Data Science, CS or Actuarial Science, or equivalent.
  • GenAI and agentic systems expertise with practical tooling.
  • Proficient in Python, R, TypeScript and AI coding tools.
  • Independent judgement with leadership to guide data scientists.
  • Excellent communication to present to governance forums.

Responsibilities

  • Lead independent review, challenge and validation of ML, statistical and AI models across the Group, including GenAI and agentic systems.
  • Assess fit-for-purpose and risk controls of models and orchestrators, sub-agents and pipelines.
  • Shape validation standards, tooling, and best practices across data science teams.

Skills

ML/AI expertise
Independent judgement
Communication skills
Coding in Python/R/TS

Education

Degree in Statistics/Data Science/CS/Actuarial

Tools

LangChain
LangGraph
OpenAI Agents SDK
Pydantic
Langfuse/HoneyHive
PyTorch
AWS SageMaker

Job description

Commonwealth Bank is seeking a Principal Data Scientist to lead independent validation of ML, statistical and GenAI models at scale. You will assess fit-for-purpose, validity and risk controls across the organization, collaborating with Data Science, Engineering and Governance to uphold standards.

Strong expertise in GenAI, agentic systems and practical tooling is essential. You will guide projects, mentor data scientists, and communicate complex topics clearly to governance forums and senior

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