• We have a rare opportunity to combine your hands on technical expertise with enterprise level impact operating with startup energy.
• You will work at the frontier of applied AI globally, building the agentic systems at the core of NAB’s AI products, hands-on, in code, every day.
• You will work alongside HO Data Science (in agile multi-disciplinary teams) who are defining the architecture and evaluation methodology

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

In this Senior AI Data Scientist -role, you will:    

• Develop the core components of NAB’s agentic AI products: implementing agent reasoning loops, tool use interfaces, memory systems, context management, and orchestration logic.
• Translate architectural designs into robust, tested, production-grade implementations, working across the boundary of data science and software engineering.
• Design and implement prompting strategies, retrieval pipelines, and context assembly that determine the quality and reliability of agent behaviour.
• Conduct rapid experimentation to test hypotheses about agent design: what works, what fails, and why; building the empirical evidence base that informs architectural decisions.
• Iterate continuously on agent performance: diagnosing failure modes, identifying root causes, and implementing targeted improvements

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

• Strong hands-on experience in machine learning, with demonstrable depth in at least one of: LLM-based systems, agentic AI, NLP, optimisation, or reinforcement learning
• Proficiency in Python and the modern ML stack: experience with foundation model APIs, agentic orchestration frameworks, vector databases, and evaluation tooling
• Experience taking AI systems from prototype to production
• Strong foundations in statistics, probability, and experimental design: you can design rigorous experiments, interpret results critically, and quantify uncertainty
• Familiarity with prompt and context engineering, retrieval augmented generation, tool use patterns, and agent orchestration. Direct hands-on experience is strongly preferred.

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.