Drive AI innovation at scale across Business Banking
Apply Generative AI and advanced modelling to solve complex business challenges
Influence strategy through leadership, stakeholder engagement and production-ready AI solutions
Do work that matters:
As a Senior Data Scientist in Business Banking you'll help shape the future of intelligent banking experiences. Working within the Payments domain, you'll design and deploy advanced AI and machine learning solutions that automate processes, enhance customer experiences and support critical business decision-making.
You'll combine deep technical expertise with commercial thinking to solve complex problems, working across high-impact initiatives that leverage Generative AI. This is an opportunity to influence how AI is applied at scale while mentoring others and contributing to the ongoing evolution of the Bank's AI capability.
See yourself in our team:
Within Business Banking, you'll work alongside data scientists, AI specialists, product teams and business leaders to deliver innovative solutions that create real customer and business value.
You'll collaborate closely with stakeholders across frontline teams, product, risk, controls and technology functions, bringing together diverse perspectives to solve complex problems and deliver meaningful outcomes.
In this role, you will:
Lead the design, development and deployment of advanced AI and machine learning solutions
Apply Generative AI, Agentic AI and retrieval-augmented generation (RAG) techniques to solve complex business challenges
Develop and enhance high-risk analytical models that support business and customer outcomes
Partner with senior stakeholders across business, risk and technology to identify opportunities and drive adoption of AI solutions
Build scalable, production-ready AI applications and ensure ongoing monitoring and performance optimisation
Mentor and develop data scientists while contributing to a strong and inclusive team culture
Translate complex technical concepts into clear business outcomes for executive audiences
We're interested in hearing from people who:
Have significant experience delivering Data Science, Machine Learning or AI solutions within financial services, fintech or other complex environments
Have hands-on experience deploying Generative AI applications into production
Demonstrate expertise across prompt engineering, RAG architectures, safety guardrails and Agentic AI frameworks
Are highly proficient in Python, SQL and statistical modelling techniques for large-scale data environments
Possess strong stakeholder management skills and can influence senior leaders through data-driven insights
Have experience developing, validating or overseeing high-risk models and model governance practices
Enjoy leading, coaching and mentoring others while fostering a collaborative team culture
Working with us
At CommBank, we're committed to creating an accessible, inclusive and respectful workplace. If you require support or adjustments, please let us know. We welcome applications from people of all backgrounds and we're particularly committed to making a positive difference for Aboriginal and/or Torres Strait Islander Peoples.
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.
Skills Required
- Significant experience delivering Data Science, Machine Learning or AI solutions within financial services, fintech or other complex environments
- Hands-on experience deploying Generative AI applications into production
- Expertise in prompt engineering, RAG architectures, safety guardrails and Agentic AI frameworks
- High proficiency in Python, SQL and statistical modelling techniques for large-scale data environments
- Strong stakeholder management skills and ability to influence senior leaders through data-driven insights
- Experience developing, validating or overseeing high-risk models and model governance practices
- Experience leading, coaching and mentoring data scientists and contributing to team culture
What We Do
Australia’s leading provider of financial services including retail, premium, business and institutional banking, funds management, superannuation, insurance, investment and sharebroking products and services. We are a business with more than 800,000 shareholders and over 52,000 employees. We offer a full range of financial services to help all Australians build and manage their finances.
