Data Scientist

Commonwealth Bank is looking for a Data Scientist to join the Financial Crime AI Team within the Chief Operations Office, driving CBA's ambition to detect, deter, and eliminate Financial Crime through transformative AI solutions. You will collaborate with engineers and domain experts to build scalable AI solutions across AML and fraud.

Key Responsibilities

• Develop and deploy AI/ML models for Financial Crime use cases including AML, fraud, scam detection, and risk intelligence.

• Work with large-scale structured and unstructured datasets using Python, SQL, and PySpark to build scalable data and ML pipelines.

• Build and optimize cloud-native AI solutions and workflows on AWS.

• Apply statistical analysis, feature engineering, experimentation, and model evaluation techniques to improve model performance.

• Collaborate with engineers, product owners, and domain experts to solve complex business problems.

• Support model deployment, monitoring, and continuous improvement of production ML systems.

• Contribute to best practices across responsible AI, model governance, and MLOps.

Requirements

• 5+ years of experience in Data Science, Machine Learning, or Applied AI.

• Strong hands-on experience with Python, PySpark, SQL, and AWS.

• Experience working with large-scale datasets and distributed data processing frameworks.

• Experience building, evaluating, and deploying machine learning models in production environments.

• Bachelor's, Master's, or PhD in Statistics, Mathematics, Data Science, Computer Science, or related disciplines.

Preferred Qualifications

• Exposure to Financial Crime, Fraud, AML, Risk, or Banking domains

• Experience in building and shipping Generative and Agentic AI based systems