Data Scientist

Data Scientist

Experience: 5–10 Years Data Science & Machine Learning
Role Overview:
 Design, develop, and deploy machine learning models for business and financial
use cases.
 Build predictive, classification, clustering, recommendation, and forecasting
solutions. Perform exploratory data analysis (EDA) to uncover trends, anomalies,
and business opportunities.
 Develop statistical models to support financial planning, forecasting, risk
assessment, and performance optimization.
 Translate business requirements into analytical solutions and measurable
outcomes. Process and analyze large-scale structured and semi-structured
datasets using PySpark/Spark.
 Develop efficient feature engineering pipelines for machine learning applications.
 Work with distributed computing frameworks to support scalable model training
and inference.
 Implement end-to-end ML lifecycle management using MLflow.
 Build and maintain reusable feature pipelines leveraging Feature Store
frameworks. Experience in the Payments, Cards, Banking, or Financial Services
domain will be an added advantage.