Data Scientist

For specific focus areas it is listed below (Your skillset should be aligned with atleast one focus area).

Key responsibilities of the data scientist would be:

Collection Insights & Analytics:

• Build real-time business performance dashboards for risk monitoring

• Minimum 3 years of hands-on experience with Power BI and SQL as a data analyst or similar role. • Strong analytical mindset with attention to data accuracy and problem solving, and an ability to work independently.

• Strong background in writing advanced SQL queries (joins, filters, window functions, etc.).

• Experienced at building Power BI data models and manage relationships between multiple tables. • Comfortable using DAX for building complex measures, calculated columns, Parameters etc.

• Ability to troubleshoot and debug issues when reports or data pipelines break.

• Effective communication skills to translate business needs into analytical solutions.

• Experienced in working with large datasets from different sources.

• Basic knowledge of Python for data wrangling (numpy, pandas)

Model Development & Scorecard Creation:

• Design risk assessment scorecards for all lending stages (pre-acquisition to recoveries) using explainable ML techniques

• Implement supervised/unsupervised learning models combining structured and unstructured data

• Convert raw data (bureau, transactional, social media) into actionable features via techniques like dimensionality reduction, interaction terms, and temporal aggregation

Data Infrastructure & Analytics:

• Build real-time business performance dashboards for risk monitoring

• Maintain a continuously-updating Business Rule Engine that codifies lending policies using Python

• Optimize Python-based feature pipelines for GPU acceleration (CUDA/Numba) and Spark/Dask distributed processing

• Establish data handling protocols for extraction, cleaning, and pipeline maintenance