Role Overview & Context

The Commonwealth Bank of Australia (CommBank) is currently seeking applications for the role of Data Scientist. As Australia’s leading provider of integrated financial services, CommBank serves more than 17 million customers across retail, business, institutional, and international markets.

Core Responsibilities & Role Scope

In this role at CommBank, key deliverables and operational objectives include:

• 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.
• Strong practical experience developing, evaluating and implementing machine learning or statistical models using large and complex datasets.

Selection Criteria & Candidate Profile

CommBank evaluates candidates against demonstrated capabilities aligned with the requisition scope:

• 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.

Key Competencies & Technical Proficiencies

Remuneration, Benefits & Flexibility

• Workplace Flexibility: Hybrid (CommBank guideline: at least 50% in-office connection each month).
• Remuneration Benchmark: AU$100,000 – AU$135,000 package + 11.5% Superannuation. (CommBank professional benchmark.)
• Employee Privileges: Access to employee banking discounts, competitive superannuation, and comprehensive health and wellbeing initiatives.

Important Applicant Information & Support

• Internal Group Candidates: If you are currently employed within the Commonwealth Bank Group (including Bankwest, x15ventures), please apply through Sidekick to submit a valid internal application.
• Accessibility & Adjustments: CommBank provides support for applicants requiring adjustments. Please contact HR Direct on 1800 989 696 if you require assistance.
• Advertising End Date: October 04, 2026 (04/10/2026).

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