Senior Insurance Data Scientist

Role Overview

• Develop, refine, and maintain GLM-based pricing models and related regression approaches used for rate setting, segmentation, and performance forecasting.
• Apply machine learning techniques where appropriate to enhance predictive accuracy and customer behavior insights.
• Serve as a technical lead on pricing initiatives, ensuring methodological rigor and regulatory awareness.
• Take a scoped project and drive it independently to completion, escalating questions or blockers appropriately.
• Manage a rotating portfolio of 2–4 active projects, including pricing model builds, research initiatives, and support for regulatory filings.
• Conduct exploratory data analysis to understand relationships across pricing, conversion, retention, and risk segmentation.
• Perform advanced root-cause analysis using SQL and statistical techniques to investigate data issues and collaborate with engineering to resolve them.
• Translate complex analytical findings into clear, actionable insights for leadership across varying technical backgrounds.
• Present modeling results, assumptions, and recommendations to senior leadership in a way that is accessible and compelling.
• Become an SME in a key area of insurance pricing, providing guidance to peers, leaders, and cross-functional partners.
• Mentor junior team members and contribute to elevating data science best practices across the organization.

Requirements

• Graduate degree in Statistics, Mathematics, Data Science, Actuarial Science, or related quantitative field and 2+ years of experience in a data science or analytical role OR 4+ years of progressive experience in data science or analytics.
• At least 1 year of experience in P&C or Pet Insurance pricing (rate modeling, GLMs, segmentation, or related actuarial/data science work).
• Strong proficiency in Python and SQL for data manipulation, modeling, and analysis.
• Deep understanding of GLMs, regression modeling, and statistical inference.
• Demonstrated ability to communicate complex technical concepts to both technical and non-technical audiences.
• Ability to manage multiple priorities in a fast-paced environment with a small, high-impact team.
• Strong problem-solving skills, critical thinking, and attention to detail.

Tech Stack

• Python
• SQL

Benefits

• Comprehensive full medical, dental and vision Insurance
• Basic Life Insurance at no cost to the employee
• Company paid short-term and long-term disability
• 12 weeks of 100% paid Parental Leave
• Health Savings Account (HSA)
• Flexible Spending Accounts (FSA)
• Retirement savings plan
• Personal Paid Time Off
• Paid holidays and company-wide Wellness Day off
• Paid time off to volunteer at nonprofit organizations
• Pet friendly office environment
• Commuter Benefits
• Group Pet Insurance
• On the job training and skills development
• Employee Assistance Program (EAP)