Data Scientist

Build and deploy machine learning models for financial use cases, perform exploratory data analysis, statistical modeling for financial planning and risk, and translate business needs into analytical solutions. Work with large‑scale data using PySpark/Spark, manage ML lifecycle with MLflow, and develop reusable pipelines with Feature Store frameworks.

• Build and deploy ML models to support business and financial use cases
• Perform exploratory data analysis and statistical modeling for financial planning and risk assessment
• Translate business needs into analytical solutions
• Process large‑scale data using PySpark/Spark
• Manage ML lifecycle with MLflow
• Develop reusable pipelines using Feature Store frameworks

• Experience building and deploying ML models (predictive, classification, clustering, forecasting)
• Strong skills in exploratory data analysis and statistical modeling for financial planning and risk
• Proficiency with PySpark/Spark for large‑scale data processing
• Hands‑on experience with MLflow for end‑to‑end ML lifecycle management
• Knowledge of Feature Store frameworks for reusable pipelines
• Domain experience in Payments, Cards, Banking, or Financial services