Principal Data Scientist

Responsibilities

• Develop and implement Machine Learning Models: Prototype, design, build, deploy and monitor a variety of machine learning models
• Expand Data/AI Science Usage : Identify potential AI opportunities across Fin Crime for future focus
• Drive Continuous Improvement and Business Outcomes: Work closely with financial crime stakeholders to understand risk and operational pain points, driving adoption of AI and GenAI to enhance detection, improve investigative outcomes, and shape the future operating model
• We're interested in hearing from people with the following skills.
• Technical Leadership and Coordination:
• Ability to coordinate effectively across the Fin Crime and COO Data Science community to unify efforts and drive collaborative outcomes.
• Demonstrated capability in driving outcomes that are reusable and can be leveraged across the group.
• Intellectual curiosity and ability and willingness to learn, experiment and lead new to the world concepts
• Technical Skills and Tools:
• Generative AI: Experience designing and deploying various aspects of Generative AI, including prompt engineering, Retrieval-Augmented Generation (RAG), guardrail design, orchestration design, skills, evals frameworks, and tools such as LangChain and LangGraph.
• Cutting-Edge AI : Work on projects leveraging traditional AI, Generative AI, and agentic AI to pave the path for how banking and broader industry functions in the future.
• Version Control and CI/CD: Experience with version control and CI/CD pipelines such as GitHub.
• Tooling : Hands-on experience with data science tools such as Spark, Python, R, TensorFlow, PyTorch, and SQL.
• Data Engineering: Knowledge of ETL processes and data pipeline construction, ensuring efficient data flow and integration.
• Deployment : Familiar with Docker for containerization and deployment of applications.
• Cloud Architecture: Grounded understanding in AWS or Azure Cloud architecture and integration, demonstrating experience in deploying and managing cloud-based solutions.
• Working with us:
• 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.
• We're aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696.
• Advertising End Date: 18/06/2026

Benefits

Additional Information

Business & Team: Financial Crime AI Team, COO See yourself in our team: At the heart of the Chief Operations Office, we're driving CBA's ambition to detect, deter and ultimately eliminate financial crime through the power of transformative AI solutions. As a Principal Data Scientist in Financial Crime domain, you'll be a hands-on technical leader working in cross-functional squads with engineers and other experts to design and deliver innovative, responsible and high impact AI solutions. You'll stay at the forefront of emerging technologies, fostering a culture of curiosity, inclusion, and continuous learning in the team, and translating complex ideas into high-impact outcomes for our customers and colleagues. You ' ll contribute strongly to guide the team on technically demanding problems across Fin Crime domain as AI continues to evolve. If you're passionate about shaping the future of AI while helping others thrive, we'd love you to lead with us.

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