- Develop predictive models using logistic regression, statistical modeling, and machine learning algorithms to drive business decisions.
- Collaborate with cross-functional teams to design and implement data-driven solutions for credit risk management.
- Analyze large datasets to identify trends, patterns, and correlations that inform strategic decision-making.
- Design and maintain complex databases using SQL to support reporting needs.
Job Requirements :
- 4-12 years of experience in a similar role within the financial services industry.
- Strong background in credit risk modeling, logistic regression, or related fields such as statistics or computer science.
- Proficiency in programming languages like Python or R; experience with PySpark is an asset.
- Experience working with relational databases (SQL) and ability to design effective queries.
📌 Data Scientist (Bengaluru)
🏢 Tavant
📍 Bengaluru
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