Base Career helps you apply smarter for this job.
Key skills for this role
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.
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.
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career
More from this employer
Sydney, AUS
Sydney, AUS
Create your best future and join Westpac as a Senior Manager, Specialised Industries What’s the role? Imagine building customer propositions that genuinely make a difference for Australian businesses. As Senior Manager,
Sydney, AUS
Create your best future and join Westpac as an Executive Manager, Growth and Acquisition What’s the role? If you're energised by growth, strategy and creating meaningful impact at scale, this could be your next opportuni
Sydney, AUS
Create your best future and join Westpac as a Manager Specialised Industries What’s the role? Ready to help shape how we support some of Australia's most important industries? As Manager Specialised Industries, you'll pl
Southport, AUS
Create your best future and join Westpac as a Branch Lending Manager Drive new business opportunities, rebuild and grow existing relationships. What’s the role? As a Branch Lending Manager, you will assist Westpac custom
Southport, AUS
Sydney, AUS
Sydney, AUS
Melbourne, AUS
Sydney, AUS
Sydney, AUS
Sydney, AUS
Southport, AUS
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.
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.
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.
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.
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.
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 .
Australia's first and oldest banking institution.
Visit company websiteJobs and hiring trendsFull-time
Senior
Hybrid
Apply faster on company sites with our extension.