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 Pune
🏢 ZecData Technology
📍 Pune