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 strong 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