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CommBank

Full-spectrum financial services and banking

Senior Data Scientist - Responsible AI, Agentic AI

Applied Machine LearningPosted on Nov 10
Full-timeSydney NSW, AustraliaNo salary listed

About the Job

Requirements

  • Strong hands-on experience designing, developing, and evaluating production artificial intelligence or machine learning solutions, including Generative or Agentic AI.
  • Detailed practical experience evaluating and managing the risk of Generative and Agentic AI systems.
  • A strong foundation in statistics, probability, and machine learning, with the ability to interpret, evaluate, and explain model behaviour.
  • Advanced Python capability and experience using SQL and relevant machine learning or deep learning frameworks.
  • Practical knowledge of cloud environments such as AWS or Azure, version control, continuous integration and delivery, containerization, monitoring, and observability.
  • Experience applying responsible AI, model governance, risk management, and documentation requirements in a regulated or similarly complex environment.
  • Strong written and verbal communication skills, including the ability to influence senior stakeholders and explain technical decisions to varied audiences.

Responsibilities

  • Develop key Responsible AI capabilities across evaluations, runtime assurance, and ongoing monitoring for use across the Group.
  • Solve complex challenges to influence high-priority initiatives that drive Responsible AI across the Group.
  • Work with other data scientists and engineering technology teams to build, deploy, and manage Responsible AI capability.
  • Deliver evaluation and assurance capabilities for Generative and Agentic AI that support data scientists across the Group.
  • Partner with engineering, data science, risk, and policy teams in designing and delivering Responsible AI capabilities.
  • Partner with risk and policy teams in building and operating formal risk controls that formalise and standardise responsible AI practices.
  • Establish executive risk reporting that gives appropriate visibility of responsible AI outcomes to senior leadership.
  • Apply statistical methods and structured problem solving to complex and ambiguous challenges in Responsible AI.
  • Work closely with data scientists and developers across the Group to understand requirements for Responsible AI capabilities and identify enhancement opportunities.
  • Keep up to date with industry developments and best practices in Generative and Agentic AI and responsible AI.
  • Contribute to best practice frameworks and coding standards across the team.
  • Coach and mentor team members while helping build AI and data science capability across the team.

Desired Qualifications

  • A tertiary qualification in Data Science, Statistics, Computer Science, Engineering, Mathematics, or a related discipline.
  • Experience in software engineering.

About the Company

CommBank

Full-spectrum financial services and banking

Commonwealth Bank of Australia (CommBank) provides a full range of financial services in Australia, including retail, premium, business and institutional banking, funds management, superannuation, insurance, investments and sharebroking. Customers use accounts, loans, investments and insurance through multiple channels with digital tools and advisory services to manage money, borrow, invest and plan for the future. It differentiates itself by its size, scale and breadth, offering a broad suite of services under one umbrella to serve the Australian market. Its goal is to help all Australians build and manage their finances and to engage with customers and communities.

Company size
10,001+
Company stage
IPO
Headquarters
Sydney NSW, Australia
Founded
1911

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