Data Scientist - Senior

Established in 2021,
Independence Pet Holdings is a corporate holding company that manages a diverse and broad portfolio of modern pet health brands and services, including insurance, pet education, lost recovery services, and more throughout North America.

We believe pet insurance is more than a financial product and build solutions to simplify the pet parenting journey and help improve the well‑being of pets. As a leading authority in the pet category, we operate with a full stack of resources, capital, and services to support pet parents. Our multi‑brand and omni‑channel approach includes our own insurance carrier, insurance brands and partner brands.

IAIC (Independence American Insurance Company) is IPH’s carrier organization, responsible for actuarial pricing, indications, and insurance‑driven insights into portfolio performance. The Data Science team within it ensures IAIC and IPH remain at the forefront of actuarial and pricing sophistication by evaluating new data sources, developing advanced analytical techniques, and delivering predictive insights that drive better‑informed business decisioning.

We are seeking a Senior Data Scientist with hands‑on experience in P&C or Pet Insurance pricing to join our growing R&D team. This is a senior individual contributor role responsible for leading complex data science initiatives, developing and maintaining advanced predictive models, and maintaining partnerships with actuarial, underwriting, product, and data teams.

You will balance a portfolio of multiple concurrent research initiatives in pricing, customer behavior, and other business analytics. This role requires someone who can independently run a project to ground, ask the right questions when roadblocks arise, and communicate complex modeling work to both technical and non‑technical audiences.

• Remote or Hybrid (United States)
• Hubs in:
  Chicago, IL | New York, NY | Scottsdale, AZ | Cleveland, OH

• Develop, enhance, and maintain predictive models (e.g., GLMs, machine learning, ensemble approaches) to support pricing, segmentation, and performance forecasting while balancing regulator considerations.
• Apply advanced statistical techniques to identify key drivers of sales, retention, and profitability, and forecast expected outcomes.
• Serve as a technical lead on larger, cross‑functional initiatives.

• Lead scoped projects and drive them independently to completion, escalating questions or blockers appropriately.
• Manage a rotating portfolio of multiple active projects, including pricing model builds, research initiatives, and support for regulatory filings.

• Lead exploratory data analysis to evaluate relationships between data elements and insurance processes, including pricing, conversion, retention, and risk segmentation.
• Perform advanced root cause analysis to investigate data inconsistencies and system issues; collaborate with Data Engineering and Business Units to resolve findings.
• Translate complex technical findings into clear, actionable insights for leadership with varying technical backgrounds.

• Design, implement, and maintain scalable data pipelines to collect, process, and integrate structured and unstructured data from internal systems and external data sources.
• Create and maintain dashboards and reporting solutions (e.g., Power BI) to monitor key metrics such as rate level, risk segmentation, retention, and portfolio performance.
• Mentor and develop analytics talent within the team and across the organization.
• Stay current on industry trends, emerging technologies, and advancements in data science, analytics, and actuarial science.

• Graduate degree in Statistics, Mathematics, Actuarial Science, Data Science, or related quantitative field and 2+ years of experience in a data science or analytical role or 5+ years of progressive experience in a data science or analytical role.
• At least 1 year of experience in P&C or Pet Insurance Pricing (pricing modeling, GLMs, segmentation, and/or related actuarial/data science work).
• Strong…