About the role :
We are looking for a data scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be on applying data mining techniques, doing statistical analysis, and building high-quality prediction systems integrated with our products.
Responsibilities :
- Data Science is successfully adding value to the business models by using statistics and deep learning to make better decisions and attain growth. It is also being used to crunch the previous data and predict possible situations and risk so that we can work on avoiding them
- Leverage advanced Machine Learning and Big Data Analytics to create credit risk score and assess millions of users using more than 5,000 data points over a long period of time wrt various dimensions
- Build ML-based credit underwriting models that can serve the under-banked or thin file borrowers by using alternate data from social platforms and mobile phones. Experience in the usage of nonstandard data in decision making will be an added advantage
- Create End-to-end credit assessment Data Science solution that can suggest the best possible loan offer to customers
- Develop suitable data mining models on product domain like PL, consumer products, SME products
- Help functional teams manage their P&L by providing data-backed strategy insights and help teams set the right price and right line for the right customers
Required Skills :
- Knowledge of Statistics
- Experience with Python and SQL is must
- Experience in machine learning modeling techniques
- Exceptional problem solving and analytical skills
- Current expertise in NBFC/Fintech in creating scorecards is good to have
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