Skills

Communication Python SQL Data Engineering GitHub Monitoring Problem-solving Effective Communication Machine Learning Regression git Organization Analytical Skills Git/GitHub Analytics Data Science

Job Specifications

A leading financial services organization is seeking an experienced Data Scientist to support large-scale life insurance underwriting initiatives. This role is highly focused on mortality risk modeling, traditional machine learning, and statistical modeling—not data engineering or GenAI-heavy work.

You’ll work within a production, business-facing environment and collaborate closely with underwriting teams to develop models that guide premium decisions and risk assessments.

Key Responsibilities

Build, validate, and maintain machine learning/statistical models to support underwriting decisions.
Analyze structured health, demographic, and insurance data to model mortality risk and premium outcomes.
Translate underwriting and business requirements into technical analytical approaches.
Collaborate with underwriters, analysts, and cross-functional partners to explain model outputs.
Perform EDA, feature engineering, and ongoing model performance evaluations.
Document assumptions, methodologies, and results in a structured manner.
Support model lifecycle activities, including monitoring and refinement.
Work independently while contributing within a broader analytics team.

Required Skills

Technical Skills

Strong experience with traditional data science and machine learning.
Proficient in Python and SQL.
Hands-on experience with:
Regression modeling
Random Forest
Gradient boosting (XGBoost preferred)
Experience working with Git/GitHub.
Familiarity with standard data science workflows and best practices.
Master’s or PhD in Data Science or related field.

Core Competencies

Self-directed, proactive, and able to operate with minimal oversight.
Strong problem-solving and analytical skills.
Able to work within regulated, data-sensitive environments.
Effective communication with technical and non-technical stakeholders.

Plusses

Background in life insurance, underwriting, healthcare analytics, or health data.
Exposure to actuarial concepts or risk modeling.
Light experience with AI/GenAI tools (~10–15% usage).

About the Company

Insight Global is an international professional services and staffing company specializing in delivering talent and technical solutions to Fortune 1000 companies across the IT, Non-IT, Healthcare, and Engineering industries. Fueled by staffing and talent experts, Evergreen, our professional services brand, brings technical advisors and culture consultants to help customers tackle their biggest challenges. With over 70 locations across North America, Europe, and Asia, and global staffing capabilities in 50+ countries, our tea... Know more