Senior AI Data Scientist

NAB

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profile Job Location:

Sydney - Australia

profile Monthly Salary: Not Disclosed
Posted on: 2 days ago
Vacancies: 1 Vacancy

Job Summary

  • 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 NABs 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 thats doubling down on customer obsession.

In this Senior AI Data Scientist -role you will:

  • Develop the core components of NABs 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

Were looking for the best and brightest to deliver the best for our customers. Youll 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. Thats why we have built a culture of equity and respect - where everyone feels valued and appreciated for being their authentic 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 To discuss adjustment requirements please contact the NAB Careers team via (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.


Required Experience:

Senior IC

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 NABs AI products hands-on in code every day.You will work alongside HO D...
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Key Skills

  • Laboratory Experience
  • Mammalian Cell Culture
  • Biochemistry
  • Assays
  • Protein Purification
  • Research Experience
  • Next Generation Sequencing
  • Research & Development
  • cGMP
  • Cell Culture
  • Molecular Biology
  • Flow Cytometry

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