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Westpac

Banking and financial services for customers

Data Scientist - Group Audit

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeSydney NSW, AustraliaNo salary listedHybrid

About the Job

Requirements

  • Around 3–5 years of practical data science experience, ideally within financial services, audit, assurance, or risk environments.
  • Strong hands-on experience applying machine learning, artificial intelligence, Generative AI, automation, or predictive analytics to solve business problems.
  • Strong Python and SQL capability, including experience working with complex structured and unstructured data.
  • Experience designing, building, or productionising AI and Generative AI solutions, including model pipelines, Large Language Model integration, monitoring, or lifecycle management.
  • Strong analytical and problem-solving skills, with the ability to independently investigate problems and translate technical outputs into clear business insights.
  • Strong communication and stakeholder engagement skills, with a collaborative and practical approach to delivering solutions.

Responsibilities

  • Design and deliver advanced analytics and production-grade artificial intelligence solutions.
  • Identify opportunities to automate audit activities.
  • Use data to uncover emerging risks, control weaknesses, and meaningful business insights.
  • Work closely with audit teams and specialists across Technology, Risk, and Compliance, applying tools such as Python, SQL, Alteryx, and Microsoft Copilot to solve business problems.
  • Contribute to Westpac’s advanced analytics and artificial intelligence roadmap, helping build capability and share knowledge across Group Audit.

Desired Qualifications

  • Experience with Azure, Snowflake, Microsoft Copilot Studio, AI agents, or Machine Learning Operations is highly regarded.

About the Company

Westpac

Banking and financial services for customers

Westpac is an Australian bank offering a wide range of financial services for individuals and businesses, including everyday banking, loans, payments, and digital banking.

Company size
10,001+
Company stage
IPO
Headquarters
Sydney NSW, Australia
Founded
1817

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