Data Scientist

Overview

Build and deploy scalable AI and machine learning solutions for financial crime use cases, including AML, fraud, scam detection, and risk intelligence.

What you'll do

• Develop and deploy AI/ML models for financial crime use cases.
• Build scalable data and machine learning pipelines with large datasets.
• Optimise cloud-native AI solutions and workflows on AWS.
• Apply statistical analysis, feature engineering, experimentation, and model evaluation.
• Collaborate with engineers, product owners, and domain experts.
• Support deployment, monitoring, and continuous improvement of production ML systems.
• Contribute to responsible AI, model governance, and MLOps practices.

What you'll need

• 5+ years of experience in data science, machine learning, or applied AI.
• Hands-on experience with Python.
• Hands-on experience with PySpark and SQL.
• Hands-on experience with AWS.
• Experience working with large-scale datasets and distributed data processing frameworks.
• Experience building, evaluating, and deploying production machine learning models.
• Bachelor's, master's, or PhD in a related quantitative or computing discipline.

Nice to have

• Exposure to financial crime, fraud, AML, risk, or banking domains.
• Experience building and shipping generative and agentic AI systems.

Details

• Location: Bengaluru, India.