Principal Data Scientist — Responsible & Agentic AI Leader

Narooma

Sydney

Hybrid

AUD 190,000 - 230,000

Full time

3 days ago
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Job summary

CommBank is seeking a Principal Data Scientist, Responsible AI, to lead the development of governance, evaluation and monitoring capabilities for Generative and Agentic AI. You will guide architecture, design decisions and delivery practices across data science and engineering teams.

You will partner with risk, policy and engineering groups to implement scalable, responsible AI solutions, ensure proper risk reporting to senior leadership, and mentor other scientists in robust, pragmatic AI

Qualifications

  • Proven experience leading production AI systems and scalable Responsible AI implementations.
  • Strong grasp of evaluation, risk, governance and documentation in regulated environments.
  • Excellent communication and stakeholder influence across technical and non-technical audiences.

Responsibilities

  • Provide technical leadership in design, development and implementation of world-class evaluation and assurance capabilities for Generative and Agentic AI that support data scientists across the Group
  • Partner with engineering, data science, risk and policy teams in designing and delivering Responsible AI capabilities
  • Lead the establishment of formal risk reporting to senior leadership on Responsible AI outcomes
  • Move ideas from ambiguity through to build, testing and delivery to empower AI developers at scale
  • Ensure Responsible AI is built-in and operating seamlessly and at scale across the organisation

Skills

Generative AI
Agentic AI
Leadership
Statistics
Python
SQL
Cloud platforms
Risk management

Education

MSc in Data Science
PhD in related field

Tools

AWS
Azure
Docker
Kubernetes
CI/CD
Git

Job description

CommBank is seeking a Principal Data Scientist, Responsible AI, to lead the development of governance, evaluation and monitoring capabilities for Generative and Agentic AI. You will guide architecture, design decisions and delivery practices across data science and engineering teams.

You will partner with risk, policy and engineering groups to implement scalable, responsible AI solutions, ensure proper risk reporting to senior leadership, and mentor other scientists in robust, pragmatic AI

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