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Melbourne
1 day ago
Senior Data Scientist - ML & GenAI logo

Senior Data Scientist - ML & GenAI

Commonwealth Bank

Melbourne
1 day ago
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Senior Data Scientist - ML & GenAI

CommBank is seeking a Senior Data Scientist to shape customer service outcomes with advanced machine learning, GenAI, and agentic AI. The role involves hands-on model delivery, influencing data strategy and governance, and building AI solutions at scale. Requires deep experience in ML, GenAI, and productionising models, with strong Python and SQL skills.

AI-enabledOn-siteFull-timeSeniorMachine LearningGenAI

Senior Data Scientist - ML & GenAI

CommBank is seeking a Senior Data Scientist to shape customer service outcomes with advanced machine learning, GenAI, and agentic AI. The role involves hands-on model delivery, influencing data strategy and governance, and building AI solutions at scale. Requires deep experience in ML, GenAI, and productionising models, with strong Python and SQL skills.

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AI-enabledOn-siteFull-timeSeniorMachine Learning

Salary

Not specified

Work Location

Melbourne, Victoria, Australia, AU

Work Model

On-site

Employment Type

Full-time

Experience Level

Senior

Core Qualifications

Technical (Must-have)
Machine LearningGenAIAgentic AIPythonSQLMLOpsVersion ControlCI/CDModel MonitoringObservability ToolsData GovernanceData QualityData RiskAI ToolingCoding Agents
Soft Skills
CommunicationCuriosityCustomer-FocusedResponsible AITechnical JudgementDelivery Discipline

Preferred Qualifications

Technical (Nice-to-have)
Retail BankingBranch NetworkCustomer-FacingFinancial Services

Key Responsibilities

  • •Designing, building and productionising machine learning, GenAI and Agentic AI solutions that solve practical business problems.
  • •Translating branch and customer service challenges into clearly defined predictive, optimisation or Agentic solution approaches.
  • •Shaping GenAI and Agentic AI opportunities across customer service and branch-related journeys.
  • •Translating complex business questions into well-defined machine learning or Agentic solution approaches.
  • •Supporting the data science lifecycle, from ideation and discovery through model build, validation, deployment, monitoring and ongoing governance.
  • •Influencing the data landscape, data governance, data quality and data risk considerations.
  • •Helping define the data science strategy and technical capability required to support Customer Service Network priorities.
  • •Partnering with product, engineering, risk and business teams to assess opportunities, constraints, trade-offs and expected value.
Senior Data ScientistMachine LearningGenAIAgentic AIFinancial ServicesPythonSQLMLOpsOn-siteFull-time
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