Job Description
We are seeking an experienced Data Scientist to join our Life Insurance Underwriting team. This role will support large-scale underwriting initiatives focused on mortality risk modeling and premium determination. The ideal candidate brings strong traditional data science experience, a solid foundation in statistical and machine learning techniques, and the ability to work independently in a production, business-facing environment.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
Technical Skills
Strong experience in traditional data science and machine learning
Proficiency in Python and SQL
Hands-on experience with:
Regression models
Random Forest
Gradient boosting methods (e.g., XGBoost)
Experience working in a Git/GitHub-based development environment
Familiarity with standard data science workflows and best practices
Education & Experience
Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field (preferred)
PhD is a plus but not required
Equivalent professional experience in lieu of advanced degree may be considered
3+ years of applied industry experience in data science or analytics roles
Core Competencies
Self-motivated, proactive, and able to work with minimal supervision
Strong analytical and problem-solving skills
Comfortable working in a regulated, data-sensitive environment
Effective communicator with both technical and non-technical stakeholders
Nice to Have Skills & Experience
Experience in insurance, life insurance underwriting, healthcare, or health data analytics
Exposure to actuarial concepts or risk modeling
Limited exposure to AI / GenAI tools (expected usage ~10–15%, not a core requirement)
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.