Data Scientist - AI & Analytics

Westpac; Sydney; Hybrid; AUD 120,000 - 180,000; Full time

Benefits offered by this job

Flexible work arrangements

Learning and development opportunities

Employee mortgage rates

Community volunteering

Job summary

Westpac is seeking a senior Data Scientist who works at the nexus of AI, data engineering, and macroeconomics. You will build production-grade data science solutions, deploy econometric and ML models, and translate complex economic hypotheses into scalable insights for institutional clients and internal research teams.

You’ll collaborate across DataX, Economics, and DDAI to leverage modern tooling and cloud ML platforms (Azure/SageMaker) while engaging with researchers and strategists to deliver

Qualifications

• Tertiary qualifications in Computer Science.
• Proven experience delivering production-grade data science / ML solutions.
• Strong background in statistical modelling and time-series analysis.
• Deep capability in Python (scikit-learn, statsmodels, PyTorch/TensorFlow).
• Deep track record building scalable models and data-driven products.
• Ability to operate in complex enterprise environments with stakeholder engagement.
• Economics, econometrics, or financial markets exposure.
• Experience building NLP / LLM-driven solutions with Cloud ML platforms (Azure ML, SageMaker).
• Experience working with researchers, strategists, or domain experts.
• Curious, commercial, and delivery-focused with clarity and influence.

Responsibilities

• Build and deploy econometric + ML models for forecasting, nowcasting, and scenario analysis.
• Develop AI-enabled tools (NLP, automation) to productionize research workflows.
• Translate economic hypotheses into quantitative frameworks.
• Work hands-on with macro, transaction, and alternative datasets to unlock insights at scale.
• Drive end-to-end model lifecycle from experimentation to production and governance.
• Present insights to technical and executive audiences.

Skills

Python

Time-series

Econometrics

NLP/LLM

Production-grade ML

Stakeholder engagement

Cloud ML (Azure/SageMaker)

Data modelling

Education

Computer Science degree

Economics/finance background

Tools

PyTorch

TensorFlow

scikit-learn

statsmodels

Job description

• Sydney Location /Hybrid Working
• Make an impact where data meets insight

Opportunity Knocks

At Westpac, we’re reimagining how economic insight is created, scaled, and delivered. This is not a traditional data science role. You’ll sit at the intersection of AI, data engineering, and macroeconomics—building the next generation of data-driven research that shapes one of Australia’s most trusted market voices.

The DataX and Economics teams sit within WIB DDAI (Data, Digital & AI) and deliver data-driven products and insights to external institutional clients, while Economics provides macroeconomic research and forecasts that shapes Westpac's market voice.

If you’re a highly experienced Data Science SME who is a hands-on builder and thrives on translating complex ideas into real-world, production-grade solutions—this is your platform to shine!

Working within the DataX + Economics partnership, you’ll leverage shared data assets, modern tooling, and scalable platforms to deliver high-impact outcomes for institutional clients and internal research.

Day to Day Focus

• Build and deploy econometric + machine learning (ML) models for forecasting, nowcasting, and scenario analysis
• Develop AI-enabled tools (NLP, automation, insight generation) to transform research workflows into production
• Translate economic hypotheses into robust quantitative frameworks
• Work hands-on with macro, transaction, and alternative datasets to unlock insights at scale
• Drive end-to-end model lifecycle—from experimentation to production, validation, and governance
• Present insights to both technical and executive audiences

Key Essentials …

• Tertiary qualifications in Computer Science
• Proven experience delivering production-grade data science / ML solutions (not just POCs or academic work)
• Strong background in statistical modelling and time-series analysis
• Deep capability in Python (scikit-learn, statsmodels, PyTorch/TensorFlow)
• Deep track record building scalable models and data-driven products
• Ability to operate in complex enterprise environments with strong stakeholder engagement
• Economics, econometrics, or financial markets exposure
• Experience building NLP / LLM-driven solutions, complemented by solid Cloud ML platforms (Azure ML, SageMaker or similar)
• Experience working alongside research, strategy, or domain experts
• You’re curious, commercial, and delivery-focused and you get energy from turning ambiguity into structured, scalable solutions
• You’re a hands-on problem solver who ships—not just experiments and you communicate complex ideas with clarity and influence

Why join us?

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.

Create your future today!

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.