Lead Data Scientist

Independence Pet Group•Scottsdale, NY

13h•Remote

About The Position

Independence Pet Holdings, established in 2021, is a corporate holding company managing a diverse portfolio of pet health brands and services, including insurance, pet education, and lost recovery services across North America. The company aims to simplify the pet parenting journey and improve pet well-being. Independence American Insurance Company (IAIC), a subsidiary of IPH, has over 50 years of underwriting experience and a history of innovation in the pet insurance industry, building a reputation as a trusted and dependable partner. The company operates as a pet-focused underwriter with deep insurance industry experience and a product with proven consumer appeal. This role is located remotely in the U.S. and is part of a growing R&D team.

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.

Nice To Haves

Experience with Snowflake, Databricks, or SQL Server.
Familiarity with data warehousing concepts.
Hands-on experience with WTW Radar, Emblem, or Earnix.
Experience building dashboards in Power BI or similar tools.

Responsibilities

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.
Demonstrate flexibility in leading or following depending on project needs, contributing to a collaborative and high-trust team environment.