About the job

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.

• 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.
• Lead build and deployment of machine learning models and GenAI solutions to achieve business outcomes.

• SQL
• Python
• PySpark
• Spark ML language
• AWS, Azure or GCP
• Github
• Data science skills
• ML & GenAI techniques
• Customer data understanding
• Digital data understanding
• Unstructured data sources understanding

• 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.