Senior Data Scientist - Financial Crime

NTT DATA is seeking a Senior Data Scientist with expertise in Python, PySpark, and advanced analytics to work on large-scale data for fraud detection and financial crime prevention.

Requirements

• 5+ years of experience in Data Science, Analytics, or a related role
• Strong proficiency in Python (NumPy, Pandas, Scikit-learn, etc.)
• Hands-on experience with PySpark / Spark for large-scale data processing
• Solid understanding of Financial Crime domains including: Fraud Monitoring, Transaction Monitoring, AML / CTF concepts, Customer risk and suspicious activity patterns
• Experience building and validating machine learning models (supervised & unsupervised)
• Strong knowledge of data preprocessing, feature engineering, and model evaluation
• Ability to communicate complex analytical findings to non-technical stakeholders

Benefits

• Flexible work arrangements
• Equal opportunity employer
• Pay transparency
• EEO Policy Statement