Data Scientist - Financial Crime AI

Commonwealth Bank of Australia; Bengaluru; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Commonwealth Bank of Australia in Bengaluru, India, is seeking an experienced Data Scientist to lead AI initiatives in financial crime, AML, and risk intelligence. You will collaborate with data scientists, ML engineers, software engineers and domain experts to build scalable AI solutions.

The role focuses on developing, deploying and monitoring ML models in production, handling large-scale data, and advancing responsible AI and ML Ops practices within the team.

Qualifications

• 5+ years of experience in data science, machine learning or applied AI.
• 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.
• Strong analytical, problem-solving and stakeholder communication skills.
• Exposure to financial crime, fraud, AML, risk or banking domains is highly regarded.
• Experience building and shipping generative and agentic AI-based systems.

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 data using Python, SQL and PySpark 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.

Skills

Python

PySpark

SQL

AWS

Large-scale data processing

Model deployment

Analytical thinking

Stakeholder communication

Education

Bachelor’s/Master’s/PhD in statistics/data science/computer science

Tools

PySpark

AWS

Distributed data processing frameworks

Job description

Overview

Data Scientist – Bengaluru, India – Financial Crime AI Team, Chief Operations Office

At CommBank we drive the ambition to detect, deter and eliminate financial crime with transformative AI. This role leads and collaborates with data scientists, ML engineers, software engineers and domain experts to build scalable, high‑impact AI solutions across AML, fraud, scams and risk intelligence.

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 data using Python, SQL and PySpark 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 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.
• Strong analytical, problem‑solving and stakeholder communication skills.
• Exposure to financial crime, fraud, AML, risk or banking domains is highly regarded.
• Experience building and shipping generative and agentic AI‑based systems.

Education & Qualifications

• Bachelor’s, Master’s or PhD in statistics, mathematics, data science, computer science or related disciplines.