Consultant Data Scientist Marketing

National Australia Bank; Sydney; Hybrid; AUD 150,000 - 190,000; Full time

Job summary

National Australia Bank seeks a Consultant Data Science - Marketing to shape marketing strategies for NAB customers, applying analytics and AI to deliver meaningful outcomes.

You will partner with data teams and senior stakeholders to turn insights into production-ready solutions through experimentation, engineering and evidence-based decision making.

Qualifications

• Strong Python software engineering skills for production systems.
• Solid ML fundamentals including feature engineering and model evaluation.
• Experience designing and building LLM applications or agentic workflows.

Responsibilities

• Designing and deploying AI solutions to improve customer decisioning and personalization.
• Developing evaluation methods to ensure reliability and safety of AI systems.
• Collaborating with Data Engineering and Platform teams to take ideas to production.

Skills

Python programming

Machine learning

LLM applications

Feature engineering

Data collaboration

Tools

Python

LLM tooling

Data pipelines

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.

Our people are customer obsessed. They work in close partnership to prioritise customer needs anddeliver exceptional outcomes.Thiscollaborativemindsetenablesinnovation and buildsenduringcustomer relationshipssupporting our ambition to be the most customer centric company in Australia and New Zealand.

In the role of ConsultantData Science - Marketing,you will workcloselywith the Data and Digital Customer Decisioning T

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’llmake 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’llbringto 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.

Join NAB

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