Data Scientist, Gen AI, Business Banking

As a Data Scientist in the Business Bank’s AI Centre of Excellence (AiCE), you’ll contribute to building Gen AI solutions that streamline lending processes and improve customer interactions. You’ll apply Machine Learning techniques to develop models that are scalable, reliable, and aligned to business goals.

See yourself in the team

You will work closely with key business stakeholders in the Business Bank, from our front line segment colleagues, through to our top of house risk and controls functions, while navigating the full breadth of Business Bank product and financial services design and delivery functions.

We are interested in hearing from people who are:

• Passionate about building market-leading commercial applications that utilize state-of-the-art generative AI techniques to improve work productivity and provide the best customer service!
• Excited about tackling new, challenging business problems in AI.
• Adept at using a combination of commercial and technical AI models to find unique solutions that add strategic value to the business.
• Collaborative in nature, working with product teams, curious enough to solve real-world problems, and courageous in positively influencing senior stakeholders using cutting-edge AI solutions.
  
  

Tech skills:

We use a broad range of tools, languages, and frameworks. While we don’t expect you to know them all, experience or exposure to Generative AI, agents, AI, and machine learning will set you up for success in this role.

• Generative AI Hands-on Delivery Experience: Demonstrated hands-on experience as a Data Scientist, with successful applications of generative AI in production settings.
• Expertise in AI: Including prompt engineering, retrieval-augmented generation (RAG), design, safety guardrails, and frameworks such as LangChain, LangGraph, and LlamaIndex.
• Cloud Platforms: Experience using AWS Bedrock, SageMaker, or Microsoft Azure OpenAI platforms or similar.
• GenAI and AI Models: Demonstrated experience in developing, deploying, and monitoring generative AI and AI models on AWS infrastructure
• LLM Models: Proficiency in using large language models (LLMs) for various business applications.
• Machine Learning Experience: Expertise in designing and constructing machine learning models
• Statistical Machine Learning and Big Data: Proficiency in statistical machine learning using Python and SQL for big data analysis.
  
  

We support our people with the flexibility to balance where work is done with at least half your time each month connecting in office. We also have many other flexible working options available including changing start and finish times, part-time arrangements and job share to name a few. Talk to us about how these arrangements might work for you.

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: 27/10/2025