• We have a rare opportunity to combine your hands on technical expertise with enterprise level impact operating with startup energy.
• Influence how AI is trusted and governed at enterprise scale.
• Be part of a growing AI Assurance capability.

Our people are customer obsessed. They prioritise the needs and satisfaction of the customer above all else.  Our mindset fosters innovation and creates strong, lasting customer relationships as we strive to be the most customer centric company in Australia and New Zealand 

In the role of AI Data Scientist, you will join the AI COE team that’s doubling down on customer obsession. 

In this AI Data Scientist role, you will:    

• Build pipelines & gates, integrate evals into CI/CD; define release criteria; add canaries, shadow tests, and rollback triggers.
• Engineer runtime guardrails: collaborate to implement LLM judges, schema/constraint checks, deterministic tool wrappers, safe function calling, and policy enforcement.
• Scale assurance: optimise from heavyweight LLM judges to efficient SLMs or rule engines; introduce caching, early-exit checks, and progressive gating.
• Observability & drift: partner on telemetry, behavioural drift detection, anomaly alerts, and incident taxonomies.
• Hands-on delivery - contribute code, notebooks, and tests; use AI-powered tools to accelerate development.
• Partner closely with Product & Engineering: convert DS concepts into tangible platform features with clear acceptance criteria and measurable outcomes.

We’re looking for the best and brightest to deliver the best for our customers. You’ll need:    

• Proven experience in applied data science/ML with production exposure (LLM/agentic systems preferred).
• Hands-on building eval pipelines, automated tests, and runtime controls for AI systems.
• Experience working with cloud-native environments (e.g., AWS) and collaborating in cross-functional squads (product, engineering, risk).
• Practical knowledge of reinforcement learning, bandits, or feedback-driven optimisation.
• Familiarity with microservices, LLM/MCP gateways, and observability/telemetry for agent behaviour

A diverse and inclusive workplace works better for everyone 

We know that our people make us who we are. That’s why we have built a culture of equity and respect - where everyone feels valued and appreciated for being their authentic selves. In partnership with our multiple Employee Resource Groups (ERGs), we continue to foster an inclusive environment, where all NAB colleagues’ unique backgrounds and identities are understood, respected and celebrated. We are committed to providing an environment where you can work your way. 

For details on the recruitment process, and accessibility, or alternate methods to apply for this role, please visit https://www.nab.com.au/about-us/careers/apply-for-job. To discuss adjustment requirements, please contact the NAB Careers team via nab.careers@nab.com.au (please reference job number) or visit our Careers page through the link above for other contact options. 

Join NAB 

If you think this role is the right fit for you, we would love to hear from you. Please note candidate screening and interviews may be conducted prior to the closing date of the job advert. Unsolicited CVs from agencies will not be accepted.