Data Science Engineer

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 role involves aggregating data from multiple sources to create unified datasets and implementing LLM models to drive actionable 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 relevant professional experience.
• Proven experience with implementing LLM models.
• Strong background in statistical modeling and machine learning.
• Ability to work in person at specified locations.

Skills

• Python
• Machine Learning
• LLM
• SQL
• Statistics