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Senior Data Scientist - Gen AI

Commonwealth Bank

Sydney, New South Wales, AustraliaOn Site

Original Job Summary

About the Role

As a Senior Data Scientist - Gen AI at Commonwealth Bank, you will help design and deploy multi-agent AI systems that automate lending workflows and enhance customer experiences. You will use agent-oriented design patterns to drive intelligent automation and deliver measurable business impact.

Team and Culture

You will work closely with key business stakeholders across Business Banking, including frontline colleagues and risk/control functions. Collaborate with product teams within a supportive, flexible, and inclusive work environment.

Responsibilities and Impact

  • Design and deploy production-ready generative AI solutions.
  • Apply cutting-edge AI and machine learning techniques.
  • Engage with stakeholders from product to risk functions.
  • Mentor team members in modern AI practices.
  • Address real-world business challenges using AI.

Technical Skills

Experience with generative AI, agents, LLMs, traditional machine learning, and big data tools (Python, R, SQL, Spark, HDFS, Hive, and cloud platforms such as AWS Bedrock, SageMaker, Microsoft Azure OpenAI) is essential.

Key skills/competency

  • Generative AI
  • Machine Learning
  • Data Science
  • Cloud Platforms
  • LLM
  • Big Data
  • Agent-oriented Design
  • Automation
  • Python
  • SQL

How to Get Hired at Commonwealth Bank

🎯 Tips for Getting Hired

  • Customize your resume: Highlight relevant AI and machine learning projects.
  • Research Commonwealth Bank's culture: Study their mission and values through LinkedIn and Glassdoor.
  • Prepare for technical interviews: Practice generative AI and cloud platform questions.
  • Showcase stakeholder management: Provide examples from prior roles.

📝 Interview Preparation Advice

Technical Preparation

Review generative AI model deployment.
Practice agent-oriented design patterns.
Refresh cloud platform techniques.
Analyze big data with SQL and Python.

Behavioral Questions

Describe leadership in cross-functional teams.
Explain mentoring in technical projects.
Detail stakeholder management experiences.
Discuss handling challenging business problems.