Location: Gurugram, Pune, Bengaluru, or Noida.

Must Have:

- Aggregate and integrate data from multiple sources to create a unified dataset for risk analysis.
- Design, develop, and maintain statistical and machine learning models for risk assessment and prediction.
- Perform data exploration, feature engineering, and model validation to improve model accuracy.
- Analyze risk trends and generate actionable insights to support business decision-making.
- Previous experience with implementing LLM models

JD:

- Aggregate and integrate data from multiple sources to create a unified dataset for risk analysis.
- Design, develop, and maintain statistical and machine learning models for risk assessment and prediction.
- Perform data exploration, feature engineering,



and model validation to improve model accuracy.
- Analyze risk trends and generate actionable insights to support business decision-making.
- Collaborate with business and technical stakeholders to understand risk management requirements.
- Monitor model performance, refine methodologies, and ensure data quality and reliability.
- Document model assumptions, methodologies, and results to support governance and compliance.

Pay: ₹100,000.00 - ₹150,000.00 per month

Perks:

- Provident Fund

Work Location: In person

📌 Data Science Engineer Experience: 4-6 years (India)
🏢 ZecData Technology
📍 India