Data Science Engineer ( Experience - 4-6 yrs)

Role Overview

We are seeking a Data Science Engineer with 4-6 years of experience to design, develop, and maintain statistical and machine learning models for risk assessment and prediction. The successful candidate will aggregate data from multiple sources, perform feature engineering, and implement LLM models to drive actionable business insights.

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

• 4-6 years of professional experience in data science or machine learning roles.
• Proven experience with implementing LLM models.
• Strong expertise in statistical modeling and machine learning.
• Ability to perform complex data exploration and feature engineering.

Skills

• Python
• Machine Learning
• LLM
• SQL
• Statistics