Senior Data Scientist –Gen AI Chatbot

Job details
Job type
Full-time
 
Location
Sydney NSW
 
Full job description
Sydney, NSW | Full-Time | Data Science | New Squad Opportunity

About the Role:

Join a newly formed, forward-thinking squad focused on building Gen AI-powered chatbot solutions to transform dispute processing and fraud detection.

This is a greenfield opportunity to design intelligent agent workflows using GPT-4 and LLMs, with a direct impact on customer experience and operational efficiency.

Key Responsibilities:

Develop Gen AI chatbots for dispute types using agentic workflows.

Integrate a first-party fraud detection model to introduce intelligent friction in claims lodgement.

Collaborate with cross-functional teams including fraud, product, and engineering.

Apply LLM technologies (e.g., GPT-4, LangChain) for prompt engineering, RAG, and guardrail design.

Produce clear documentation and communicate effectively with stakeholders.

What You’ll Bring:

Proven experience in Gen AI, chatbot development, and LLMs.

Strong foundation in statistics and probability; able to interpret models.

Proficiency in Python and experience with AI/ML model development.

Excellent communication skills for documentation and stakeholder engagement.

Tertiary qualification in Data Science, Statistics, Computer Science, or a related field.

Nice to Have:

Experience in fraud modelling or financial services.

Familiarity with agentic workflows and multi-agent LLM systems.

Exposure to dispute resolution or claims processing systems.

Why Join Us?

Be part of a brand-new initiative — no legacy systems, full creative freedom.

Work with cutting-edge Gen AI technologies in a high-impact domain.

Collaborate with a passionate team driving innovation in customer experience and fraud prevention.

If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through Sidekick to submit a valid application. We’re keen to support you with the next step in your career.

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Advertising End Date: 0+/07/2025
 
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