Senior Data Scientist - A11

Key Responsibilities

• Own the design, implementation, and continuous improvement of the Smart Risk engine, ensuring high accuracy and scalability.
• Develop and deploy machine learning models for credit scoring, fraud detection, and risk assessment using Python and SQL.
• Collaborate with cross‑functional teams to translate business requirements into data‑driven solutions.
• Leverage AWS services (SageMaker, Redshift, Lambda) for model training, deployment, and monitoring.
• Perform statistical analysis, feature engineering, and model validation to support decision‑making.

Requirements

• 5+ years of experience in data science, preferably in credit or risk management.
• Strong programming skills in Python and proficiency with SQL.
• Hands‑on experience with AWS cloud services and MLOps pipelines.
• Deep understanding of statistical modeling, machine learning algorithms, and model interpretability.
• Excellent communication skills and ability to work in a fast‑paced, collaborative environment.