Roles & 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 Py Spark to build scalable data and ML pipelines
Build and optimise 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 and deliver impactful AI solutions
Support model deployment, monitoring, and continuous improvement of production ML systems
Contribute to best practices across responsible AI, model governance, and ML Ops.
Essential Skills




:5+ years of experience in Data Science, Machine Learning, or Applied A
IStrong hands-on experience with Python, Py Spark, SQL, and AW
SExperience working with large-scale datasets and distributed data processing framework
s Experience building, evaluating and deploying machine learning models in production workplace
s Strong analytical, problem-solving, and stakeholder communication skill
s Exposure to Financial Crime, Fraud, AML, Risk, or Banking domains is highly regarded
. Experience in building and shipping Generative and Agentic AI based systems
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📌 Data scientist (Bengaluru)
🏢 Commonwealth Bank
📍 Bengaluru