Senior Data Scientist - Credit Risk

• Opportunity to shape credit decisioning within Home Buying 

• Apply advanced Machine Learning to high-impact, real-world problems 

• Blend of established modelling and emerging AI innovation

See yourself in our team 

At CommBank, we have an ambitious goal of leading the way in changing the world through AI. With strong backing from senior leadership, we’re delivering industry-first initiatives that create better outcomes for our customers. 

Within Retail Banking Services (RBS), the largest and most customer-facing part of the bank, we bring this vision to life shaping experiences that impact millions of Australians every day. 

The opportunity 

This role sits within our Home Buying Credit Risk team and focuses on delivering high-priority initiatives that directly influence lending decisions and business performance. 

As a Senior Data Scientist, you will combine strong statistical foundations with advanced machine learning techniques to enhance credit risk models and decisioning. While there is exposure to emerging AI capabilities, the core of this role is grounded in traditional machine learning and predictive modelling. 

Success in this role comes from balancing deep technical expertise with strong commercial understanding translating model improvements into meaningful business outcomes such as improved approval rates, profitability, and risk management. 

Key responsibilities:

• Design, build, and deploy machine learning models to enhance credit risk decisioning 

• Lead end-to-end model development, from feature engineering through to production deployment 

• Improve model performance to drive better customer and business outcomes 

• Translate complex business problems into scalable data science solutions 

• Partner closely with stakeholders across product, risk, and technology 

We’re interested in hearing from people who have:

• Strong foundation in Statistics, Probability, and Machine Learning. 

• Extensive experience in  building and deploying Machine Learning Models end-to-end. 

• Experience in credit risk (highly regarded), or adjacent domains such as pricing or financial services. 

• Strong commercial acumen and understanding of how data science drives business outcomes. 

• Excellent communication skills, with the ability to engage both technical and non-technical stakeholders. 

• Curiosity and willingness to explore new techniques while applying practical, explainable solutions. 

Technical skills:

• Proficiency in Python and SQL. 

• Experience with Machine Learning frameworks and Model Deployment. 

• Exposure to cloud platforms such as AWS or Azure. 

• Familiarity with modern AI approaches: Generative AI, LLMs. 

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.