Data Scientist Senior Staff

Clarendonhillsbank

Not specified; not specified; flexible working opt...
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Generative ai system design
Multi-agent ai ecosystems
Rag pipeline development
** Clarendonhillsbank is seeking a Senior Staff Data Scientist to lead the development and implementation of AI solutions within its Business Bank's Customer, Channels, and Data AI Centre of Excellence. The ideal candidate will have extensive experience in Generative AI, machine learning, and will play a crucial role in transforming Business Banking's operations in Australia while fostering a collaborative culture. **

Job Summary

  • This role focuses on building state-of-the-art Data Science models to transform Business Banking across Australia using cutting-edge Generative AI.
  • The team is dedicated to delivering customer-obsessed AI solutions that provide critical productivity yields for bankers and exceptional value for customers.
  • Candidates are expected to lead cross-functional squads, mentor senior talent, and shape technical roadmaps while adhering to responsible AI governance.

Matching Summary

Match Score: 75

** Clarendonhillsbank is seeking a Senior Staff Data Scientist to lead the development and implementation of AI solutions within its Business Bank's Customer, Channels, and Data AI Centre of Excellence. The ideal candidate will have extensive experience in Generative AI, machine learning, and will play a crucial role in transforming Business Banking's operations in Australia while fostering a collaborative culture. **

Salary

Not specified; Not specified; Flexible working options available

Skills & Requirements

Must-have

  • Generative AI system design
  • Multi-agent AI ecosystems
  • RAG pipeline development
  • Vector database architecture
  • MLOps and DevSecOps expertise
  • Cloud-native GenAI services

Nice-to-have

  • Thought leadership in emerging tech
  • Coaching and mentoring junior staff
  • Strong growth mindset
  • Published research or patents
  • Open-source contributions
  • Inclusive culture fostering

Key Requirements

  • Experience with large complex datasets
  • Proven delivery of RAG pipelines
  • Expertise in architecting multi-agent ecosystems
  • Strong MLOps and container orchestration skills
  • Domain depth in banking use-cases
  • Track record of leading cross-functional teams

Work Rights

Not specified

Tailored Resume

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