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 Senior Data Scientist in Financial Crime domain, you’ll be a hands-on technical leader working in multiple cross-functional squads with engineers and other experts to design and deliver innovative, responsible and high impact AI solutions for multiple projects at once . 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.
CommBank is leading the world of banking by venturing into new-to-the-world innovations. We're on the cutting edge , embracing AI technologies to reshape how we operate and serve our customers. When you join CommBank, you’re joining a team that values expertise and innovation, and you’ll be empowered to lead projects that push the boundaries of what's possible.
Contribute to the delivery of data science projects from inception to completion, including scoping, planning, execution and delivery of results.
We are interested in hearing from people who have :
We’re looking for a candidate who brings a strong blend of technical expertise , strategic thinking, and hands-on experience in delivering impactful data science solutions. The ideal candidate will have:
Extensive experience in data science and machine learning, with a proven track record of delivering end-to-end projects from problem scoping and data preparation to model development, deployment, and monitoring.
Hands-on experience with MLOps practices, including model deployment, monitoring, versioning, and lifecycle management in cloud environments (e.g., AWS, Azure, GCP).
Strong working knowledge of generative AI tools and techniques, including prompt engineering, integrating AI-generated outputs into workflows, and enhancing productivity through AI-assisted development.
Proficiency in software engineering principles, including version control, testing, and scalable solution design, to ensure robust and maintainable ML systems.
Our people bring their diverse backgrounds and unique perspectives to build a respectful, inclusive, and flexible workplace with an ultimate flexibility to work from any of our engineering hubs within Australia. One where we’re driven by our values, and supported to share ideas, initiatives, and energy. One where making a positive impact for customers, communities and each other is part of our every day
