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Job Post Details

Consultant, Data Scientist (Marketing) - job post

NAB
3.6 out of 5 stars
Australia
Permanent, Full-time
You must create an Indeed account before continuing to the company website to apply

Job details

Job type

  • Permanent
  • Full-time

Location

Australia

Full job description

Consultant, Data Scientist (Marketing)

  • 807624
  • Australia-wide
  • NSW- Sydney CBD
  • VIC- Melbourne CBD
  • Banking & Financial Services
  • Data & Analytics
  • Digital & Innovation
  • Information, Communication & Technology

Show More Show Less

  • External
  • Permanent Full time
  • Opening at: May 19 2026 - 06:00 AEST
  • Closing at: Jun 26 2026 - 23:55 AEST


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 Data Scientist role, you will join the Data & Analytics Customer Decisioning team that’s doubling down on customer obsession.

Each day, you’ll go above and beyond to:

  • Lead the use of Advanced ML & GenAI across Customer Brain use cases
  • Support experimentation with Gen AI and Agentic AI automation capabilities
  • Contribute to personalisation, recommendation and customer decisioning models and Gen AI solutions
  • Collaborate with Data Engineering and Platform teams to operationalise scalable analytics solutions using Advanced Machine Learning and Gen AI technologies
  • Identify opportunities to improve efficiency and customer outcomes through AI-enabled automation
  • Contribute to reusable analytical and Gen AI assets, feature engineering and modelling standards.

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

  • Lead build and deployment of machine learning models and GenAI solutions to achieve business outcomes.
  • Proficient users in SQL, Python, PySpark, Spark ML language.
  • Good understanding of cloud platforms such as AWS, Azure or GCP.
  • Proficient in source code controls using Github.
  • Highly developed data science skills, working with structured or unstructured datasets and ML & GenAI techniques.
  • Good understanding of customer data, digital data, different unstructured data sources across analytics landscape and ability to provide data driven insights to support decision making.

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, 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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