Senior Insurance Data Scientist

Independence Pet Group

Lead Data Scientist developing and maintaining pricing models for pet insurance at Independence American Insurance Company. Collaborating across teams to drive analytical best practices and project initiatives.

Posted 8/2/2026full-timeRemote • Arizona, Illinois, New York • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Expertise in developing and maintaining GLM-based pricing models, applying machine learning techniques for predictive accuracy, and conducting advanced data analysis using SQL. Proven ability to communicate complex concepts effectively and manage multiple projects in a fast-paced environment.

Highest-signal resume keywords

GLM-Based Pricing ModelsMachine Learning TechniquesPython ProficiencySQL ProficiencyP&C or Pet Insurance Pricing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

GLMsRegression ModelingStatistical InferenceData AnalysisRoot-Cause Analysis

Soft Skills

Problem-SolvingCritical ThinkingAttention to DetailCommunication SkillsProject Management

Industry Keywords

Data ScienceActuarial SciencePricing InitiativesSegmentationRegulatory Awareness

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

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.
Present modeling results, assumptions, and recommendations to senior leadership in a way that is accessible and compelling.
Mentor junior team members and contribute to elevating data science best practices across the organization.

Requirements

What you’ll need

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.

Benefits

Comp & perks

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)