Consultant Data Scientist Marketing

NAB; Sydney; On-site; AUD 140,000 - 190,000; Full time

Job summary

NAB is seeking a Consultant Data Science - Marketing in Sydney to turn insights into real outcomes. You will work with the Data and Digital Customer Decisioning Team to shape marketing strategies for NAB customers and apply advanced analytics and AI to customer challenges.

This builder role expects turning ambiguous opportunities into measurable experiments, collaborating with senior stakeholders, and delivering production-ready AI solutions across large datasets.

Qualifications

• Strong Python programming with production systems experience.
• Proficient in ML fundamentals and model evaluation.
• Experience designing LLM applications or agentic workflows.
• Ability to test and review generated code critically.

Responsibilities

• Designing and deploying AI solutions for marketing decisioning and personalization.
• Collaborating with data engineering and platform teams from discovery to production.
• Developing evaluation methods to improve AI system quality and safety.
• Delivering scalable tooling to accelerate AI development across the organization.
• Working with large datasets to understand customer behaviour and engineer features.
• Participating in design discussions and code reviews to improve outcomes.

Skills

Python

Machine learning

LLM applications

Agentic workflows

Data analysis

Tools

AI tooling

LLM frameworks

Python tooling

Job description

• Use data to shape marketing strategies for millions of NAB customers.
• Apply advanced analytics and AI to solve meaningful customer and business challenges.
• Work with talented teams and senior stakeholders to turn insights into real outcomes.

• Use data to shape marketing strategies for millions of NAB customers.
• Apply advanced analytics and AI to solve meaningful customer and business challenges.
• Work with talented teams and senior stakeholders to turn insights into real outcomes.

Our people are customer obsessed. They work in close partnership to prioritise customer needs and deliver exceptional outcomes. This collaborative mindset enables innovation and builds enduring customer relationships supporting our ambition to be the most customer‑centric company in Australia and New Zealand.

In the role of Consultant Data Science - Marketing, you will work closely with the Data and Digital Customer Decisioning Team, contributing to key business priorities and continuously improving how we serve our customers.

This is a builder role. Many of the opportunities you will work on will begin without a predefined solution. You will help turn ambiguous opportunities into clear hypotheses, working systems and measurable outcomes through experimentation, engineering and evidence‑based decision making.

You’ll Make An Impact Each Day By

• Designing and deploying AI solutions that improve customer decisioning and personalisation, including LLM, agentic, and machine learning systems.
• Developing rigorous evaluation methods that improve the quality, reliability and safety of AI systems.
• Collaborating with Data Engineering and Platform teams to take solutions from early discovery through to production.
• Contributing reusable tooling and capabilities that help scale AI development across the organisation.
• Working with large and complex datasets to understand customer behaviour, assess data quality, engineer features and prepare reliable inputs for machine learning and AI systems.
• Participating in design discussions and code reviews, collaborating to improve outcomes and team practices.

You’ll Bring To This Role

• Strong Python software engineering skills, with experience building modular, tested and maintainable production systems, not only exploratory notebooks.
• Strong machine learning fundamentals, including feature engineering, model selection, validation, evaluation, and the ability to identify leakage, bias and overfitting.
• Hands‑on experience designing and building LLM applications or agentic workflows, with the ability and interest to develop across these areas.
• Practical experience using AI coding agents, or a demonstrated ability to adopt new development tools quickly while critically reviewing and testing generated code.
• Strong empirical judgement, including defining baselines, testing assumptions, analysing failures and balancing quality, reliability, safety, latency and cost.
• A collaborative, low-ego approach: you seek and respond constructively to feedback, challenge ideas respectfully and update your position when the evidence changes.

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 [e-mail] (please reference job number) or visit our Careers page through the link above for other contact options.

Join NAB

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.