Job Description

• Sydney, Brisbane, or Melbourne Location
• Hybrid Working Model
• Seeking highly engaging Data Scientists with strong corporate domain experience

About your role?

As a Data Scientist in Westpac’s Data, Digital & AI (DDAI) environment, you will turn ambiguous questions into practical analytical and machine learning solutions. You will work across discovery, experimentation, validation and deployment, with enough autonomy to own defined use cases and enough support to keep growing.

The role is designed for practitioners who enjoy building. You might create a predictive model, forecasting capability, optimisation approach, NLP workflow, GenAI application or decision-support tool. Whatever the use case, the goal is the same: a useful, explainable and maintainable solution that people trust and adopt.

You will collaborate with engineering and platform specialists across Westpac’s hybrid cloud environment, using a predominantly Microsoft-aligned stack while selecting fit-for-purpose methods rather than chasing novelty.

The impact you can make …

• Deliver models and insights that improve customer, risk, productivity or operational outcomes.
• Help business partners move from broad ambition to testable hypotheses and measurable success criteria.
• Increase adoption by making model behaviour, trade-offs and limitations understandable.
• Contribute reusable code, evaluation patterns and delivery assets that make the next use case faster and safer.

What you’ll be doing …

• Proven ability applying real-time Data Science solutions to real-world commercial and business problems, with evidence of solutions that moved beyond analysis into use.
• Advanced Python and SQL skills, including data manipulation, modelling, testing and reproducible workflows.
• Sound knowledge of statistics, experiment design, machine learning evaluation and common failure modes.
• Experience with libraries such as scikit-learn, XGBoost, TensorFlow, PyTorch or equivalent, selected according to the problem.
• Exposure to Azure Machine Learning, Azure AI services, Azure OpenAI, Databricks, Dataiku or comparable cloud platforms is valuable.
• Practical understanding of version control, APIs, data pipelines, CI/CD, model monitoring and MLOps concepts.
• Ability to explain what you built, why you chose the approach, how it performed and what business outcome it enabled.
• Commitment to responsible, secure and explainable use of data and AI in a regulated environment.

What do I need?

• You own defined data science use cases from problem framing and data exploration through modelling, validation and implementation support.
• Able to build robust features, experiments and evaluation frameworks using Python and SQL.
• Can apply classical machine learning, statistical modelling, forecasting, optimisation, NLP, GenAI or other methods when they genuinely fit the problem.
• Work easily with engineers to package models, expose services, integrate pipelines and establish monitoring.
• Able to use cloud services and approved platform patterns across Azure and connected hybrid environments.
• You can write clean, testable and reviewable code using Git and modern team delivery practices.
• Assess bias, explainability, privacy, security, data quality and model risk throughout the lifecycle.
• Communicate recommendations and uncertainty clearly to technical and non-technical audiences.
• Measure performance after release and iterate based on evidence, user feedback and changing conditions.

What success looks like

• Your solutions are technically sound, adopted and connected to a measurable outcome.
• You can own a scoped problem while collaborating effectively across product, engineering, platform and risk teams.
• Your code, documentation and evaluation are strong enough for others to review, operate and extend.
• You make pragmatic choices and know when a simpler model is the better model.

Why Westpac?

We're creating better futures for our customers, communities and people. You'll join a collaborative and inclusive environment where diverse perspectives are valued, people are encouraged to challenge thinking, and everyone has the opportunity to thrive.

We welcome applications from Aboriginal and Torres Strait Islander peoples, people with disability, people from culturally diverse backgrounds, LGBTQIA+ communities and candidates of all ages and life experiences.

Additionally, we’re obsessed with becoming our customers' #1 banking partner for life and we’re looking for people who are passionate about helping us achieve that goal. In return, we’re committed to making Westpac the best place to work in the country.

Here are just a few of the ways we’re already doing that:

• Special offers on banking products and discounts from top brands, including generous employee-only mortgage rates!
• Flexible work arrangements to help you achieve a greater work/life balance, and a variety of leave options including Culture, Lifestyle and Wellbeing leave.
• Tailored learning and development opportunities to help grow your career within the bank.
• Lots of opportunities to ‘give back’ to the Community by getting involved in our many volunteering initiatives.

Like to learn more and join the Westpac AI Mission?

To get started, simply click on the APPLY or APPLYNOW button.

We’re all about creating a supportive and inclusive community. We welcome everyone – no matter your age, gender, background, or abilities. We also provide additional support to welcome our veterans, Indigenous Australians, and neurodiverse community.

If you need any adjustments during the recruitment process, you can find out more information and additional contact details by visiting the "People with Disability and/or needing Accessibility Requirements" page on our website.