Data Scientist
Tasks
- Analyze customer behavior across credit lifecycle
- Build statistical and machine learning models
- Coordinate with data engineering for operational implementation
- Deploy models into live decision making
- Improve data quality and analytical capability
- Monitor model performance in business processes
- Optimize collections and customer treatment strategies
- Translate analysis into actionable recommendations
- Value non performing asset portfolios using projections
Perks/Benefits
Skills/Tech-stack
Azure | Data Governance | Databricks | Excel | GDPR | Gradient boosting | Language Models | Large Language Models | Linear Regression | Logistic Regression | Machine Learning | Prompt engineering | Python | Random Forest | SQL | XGBoost
Education
Roles
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