Data Science Engineer (Experience: 4-6 years)

Role Overview

We are looking for a Data Science Engineer to aggregate and integrate data from multiple sources to create unified datasets for risk analysis. You will be responsible for designing, developing, and maintaining statistical and machine learning models to drive risk assessment and prediction.

Responsibilities

• 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.

Requirements

• Previous experience with implementing LLM models.
• Proven track record in statistical modeling and machine learning.
• Strong ability to perform feature engineering and data exploration.

Skills

• Python
• Machine Learning
• LLM
• Statistics
• SQL

Benefits

• Provident Fund