Senior Data Scientist

We are looking for an experienced Data Scientist with expertise in Fraud Analytics, Machine Learning, Federated Learning, Privacy-Preserving AI, and Anomaly Detection to design and develop next-generation fraud detection solutions for financial services. Experience: 10+ Years Location: Remote Key Skills: Fraud Detection & Risk Analytics Federated Learning (Flower, PySyft) Machine Learning & Deep Learning Anomaly Detection & Behavioural Analytics Python, SQL, PyTorch, TensorFlow Feature Engineering & Model Optimization MLOps & Model Deployment Responsibilities: Design and develop fraud detection and anomaly detection models. Build Federated Learning solutions without sharing sensitive data. Implement privacy-preserving AI techniques and secure model training. Develop feature engineering and risk-scoring frameworks. Evaluate model performance, drift, and explainability. Collaborate with Data Engineers and Solution Architects on end-to-end AI platforms. Support deployment, monitoring, and optimization of production models. Preferred Experience: Background in Banking, FinTech, Payments, Insurance, or Risk Analytics. Hands-on experience with Flower, PySyft, Differential Privacy, Secure Aggregation, or Privacy-Preserving ML.