Do Work That Matters
Join a Growth squad focused on using data, machine learning and emerging AI capabilities to improve customer experiences within home lending.
As a Data Scientist, you’ll develop machine learning and agentic AI solutions that help the business better understand customer needs and support more relevant, informed customer conversations. You’ll work with complex datasets to uncover meaningful patterns, develop predictive models and create intelligent applications that turn data into practical insights.
You’ll take ownership across the data science lifecycle, from framing the business problem and evaluating possible approaches through to experimentation, model or agent development, validation, deployment and monitoring. You’ll balance technical performance with responsible data use, operational feasibility and commercial value, selecting the most appropriate solution rather than defaulting to the most complex approach.
See yourself in our team
Join a team where you’ll have a positive impact on customers’ lives, strengthen local communities, and build a rewarding career.
In this role, you will:
- Identify and optimise customer cohorts for home lending opportunities, leveraging a mix of advanced analytics, data science and predictive modelling to drive targeted customer engagement.
- Design, execute and measure experiments to evaluate the effectiveness of customer propositions, using statistical analysis and experimentation frameworks to generate actionable insights and improve outcomes.
- Develop and apply AI-powered solutions, including GenAI and agentic capabilities, to enhance customer communications, improve personalisation and create seamless customer experiences across the lending journey.
- Determine whether a problem is best addressed through machine learning, statistical techniques, rules, an agentic application or a combination of approaches.
- Develop robust experimentation and evaluation frameworks that assess technical performance, reliability, customer relevance and commercial impact.
We’re interested in hearing from people who:
Bring strong foundations in statistics, mathematics and machine learning, together with demonstrated experience applying data science to complex, commercially meaningful problems. You’ll combine technical depth with sound judgement, clearly connecting model and agent design decisions to customer outcomes, operational use and measurable business value.
Ideally, you will have:
- Strong practical experience developing, evaluating and implementing machine learning or statistical models using large and complex datasets.
- Experience with supervised learning, predictive modelling, classification, forecasting or related machine learning techniques.
- Experience developing agentic AI, generative AI or large language model applications, including workflow design, evaluation methods and appropriate human oversight.
- The ability to compare machine learning, rules-based and agentic approaches, then select an effective solution based on the problem, available data, risk and expected value.
- Strong Python and SQL capability, with the ability to produce readable, testable and maintainable analytical or application code.
- Experience defining evaluation measures that extend beyond model accuracy to include reliability, customer relevance, adoption and commercial outcomes.
- An understanding of model validation, responsible AI, data governance, fairness and the safe use of customer data.
- Strong communication and influencing skills, including the ability to explain complex technical concepts, challenge assumptions and recommend a clear course of action.
Working with us:
At CommBank, we're committed to creating an accessible, inclusive and respectful workplace. If you require support or adjustments, please let us know. We welcome applications from people of all backgrounds and we're particularly committed to making a positive difference for Aboriginal and/or Torres Strait Islander Peoples. For support please contact 1800 989 696.
If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through Sidekick to submit a valid application. We’re keen to support you with the next step in your career.
We're aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696.
Skills Required
- Strong foundations in statistics, mathematics, and machine learning
- Practical experience developing, evaluating, and implementing machine learning or statistical models using large, complex datasets
- Experience with supervised learning, predictive modeling, classification, forecasting, or related machine learning techniques
- Experience developing agentic AI, generative AI, or large language model applications
- Ability to compare machine learning, rules-based, and agentic approaches and select appropriate solutions
- Strong Python and SQL capability, with readable, testable, and maintainable code
- Experience defining evaluation measures covering reliability, customer relevance, adoption, and commercial outcomes
- Understanding of model validation, responsible AI, data governance, fairness, and safe customer-data use
- Strong communication and influencing skills, including explaining technical concepts and recommending actions
Commonwealth Bank Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Commonwealth Bank and has not been reviewed or approved by Commonwealth Bank.
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Leave & Time Off Breadth — The bank offers additional Life Leave, the option to purchase up to four extra weeks, pet leave, and paid volunteering leave alongside flexible-working options. Public materials indicate these leave features compare well within Australian banking.
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Parental & Family Support — Permanent employees can access up to 18 weeks of paid parental leave, and superannuation is paid for up to 34 weeks of unpaid parental leave. These provisions extend support for new parents beyond standard settings.
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Wellbeing & Lifestyle Benefits — Access includes CBHS Health Fund, Fitness Passport, a 24/7 wellbeing platform with telehealth, an Employee Assistance Program, and employer‑paid income protection for up to two years, alongside staff banking perks and share plans. This combination provides day‑to‑day value across health, protection, and financial perks.
Commonwealth Bank Insights
What We Do
Australia’s leading provider of financial services including retail, premium, business and institutional banking, funds management, superannuation, insurance, investment and sharebroking products and services. We are a business with more than 800,000 shareholders and over 52,000 employees. We offer a full range of financial services to help all Australians build and manage their finances.
