Data Scientist Senior Staff

Commonwealth Bank Group

Australia
Hybrid (at least half the time in-office)
Generative ai application development
Multi-agent system design and deployment
Retrieval-augmented-generation (rag) pipelines
The Commonwealth Bank Group is seeking a Senior Staff Data Scientist to contribute to its advanced Data Science practice, focusing on Generative AI and innovative solutions in Business Banking. The ideal candidate will possess strong technical skills in AI, machine learning, and data management, along with leadership qualities to mentor junior staff

Job Summary

  • This role involves leading the development of state-of-the-art Data Science models and Generative AI applications to power seamless experiences for millions of customers.
  • The successful candidate will architect multi-agent ecosystems and implement robust evaluation frameworks to drive critical productivity yields for bankers.
  • The team fosters a collaborative culture focused on innovation, inclusion, and mentoring while delivering strategic value through cutting-edge AI solutions.

Matching Summary

Match Score: 85

The Commonwealth Bank Group is seeking a Senior Staff Data Scientist to contribute to its advanced Data Science practice, focusing on Generative AI and innovative solutions in Business Banking. The ideal candidate will possess strong technical skills in AI, machine learning, and data management, along with leadership qualities to mentor junior staff.

Skills & Requirements

Must-have

  • Generative AI application development
  • Multi-agent system design and deployment
  • Retrieval-augmented-generation (RAG) pipelines
  • Vector database design (FAISS, Pinecone)
  • MLOps and DevSecOps expertise
  • Cloud-native GenAI services (AWS SageMaker, Azure OpenAI)
  • Responsible and compliant AI practices

Nice-to-have

  • Passion for coaching junior team members
  • Strong growth mindset and curiosity
  • Published research or open-source contributions
  • Experience with semantic kernel and LangGraph
  • Ability to influence senior stakeholders

Key Requirements

  • Proven delivery of RAG pipelines
  • Expert in architecting multi-agent GenAI ecosystems
  • Strong MLOps & DevSecOps expertise
  • Demonstrated commitment to Responsible AI
  • Hands-on with cloud-native GenAI services
  • Domain depth in banking use-cases
  • Track record of leading cross-functional squads

Work Rights

Not specified

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