• Lead enterprise scale Decision Science in on of Australia’s largest customer experience transformation in programs.

• Collaborate with exceptional technology and data experts shaping the future of customer engagement.

• Influence strategic decisioning capability uplift across a major financial institution.

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 Decisioning Scientist you will join the Enterprise Data and Data Analytics team that’s doubling down on customer obsession. 

In this Senior Decisioning Scientist role, you will:    

• End-to-end design, implementation, testing & evaluation of Next Best Action (NBA) propositions using Pega CDH
• Data extraction, proposition deployment, performance analysis & refinements
• Development and configuration of strategies, when rules, engagement policies and contact policies, promoting standardisation across NAB’s taxonomy
• Use adaptive models to maximise portfolio performance including effective use of propensity thresholds and feedback optimisation recommendations to Business Stakeholders

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

• Demonstrated experience with designing on and/or implementing Decisioning software (IBM Unica, Pega CDH) or campaign management, including a strong understanding of how to troubleshoot/debug
• Knowledge of direct marketing principles and processes – such as campaign management propensity modelling, control groups, measurement, test and learn
• Good understanding of customer strategy, contact optimization and interpretation of analytics
• Experience with databases including tools/processes and an aptitude to adapt and use new technology
• Experience with statistical or rules-based development, with relevant experience in analysis, requirements gathering, design development of enterprise Decisioning based applications systems.

• Tertiary qualifications in technology, computer science, statistics or related field. 
• Banking Experience 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.  

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