Job highlights
Prior working experience in building credit risk models or experience in small business lending are added advantage
Develop Machine learning models to solve different business problems or for different use cases such as Credit Risk, Fraud Risk etc., and conduct thorough testing and validation of models
Conduct data analysis and turn insights into actionable changes for predictive models or policies
Partner with IT to deploy the Machine learning Models in the production
Undertake collection, preprocessing and analysis of structured and unstructured data
Analyze large amounts of information to discover trends and patterns
Bachelors, Master or Ph.D. Degree, preferably in a quantitative area such as statistics or Data science or Business analytics




5+ years of experience in building Predictive models and data processing with solid analytical, conceptual, and quantitative problem-solving skills.
Proven track record of building recent models and improving existing models
Deep understanding of various statistical/ML modeling techniques and algorithms such as XGBoost, Logistics Regression, Random Forest etc.,
Proficiency in SQL. Highly skilled in at least one of the following languages: Python or R
Prior working experience in building credit risk models or experience in small business lending are added advantage

📌 Sr Data Scientist Mumbai
🏢 Enlink
📍 Mumbai