Data Scientist - Senior

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 maintains advanced predictive models, and maintaining partnerships with actuarial, underwriting, product, and data teams. 

You will balance a portfolio 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. 

Job Location 

• Remote or Hybrid (United States) 

• Hubs in: Chicago, IL | New York, NY | Scottsdale, AZ | Cleveland, OH 

What You’ll Do 

Pricing & Modeling Leadership 

• 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. 

End‑to‑End Project Ownership 

• 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. 

Data Exploration & Analytical Insight 

• 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. 

Communication & Influence 

• 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. 

Required Qualifications 

• 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 proficiency in Python, SQL, R, or other statistical programming languages for data manipulation, modeling, and analysis. 

• Demonstrated ability to communicate complex technical concepts to both technical and non-technical audiences. 

• Ability to manage multiple priorities and projects in a fast-paced environment, both independently and collaboratively. 

• Able to engage and influence others with empathy and fostering trust.  

• Strong problem-solving, critical thinking, and attention to detail. 

Preferred Qualifications: 

• Experience with SQL Server, Snowflake, and/or Databricks. 

• Familiarity with data warehousing concepts. 

• Hands-on experience with WTW Radar suite (Radar Base, Emblem) and/or Earnix. 

• Experience with data visualization tools such as Power BI 

Who Thrives Here 

This role is ideal for someone who: 

• Enjoys owning complex analytical work from start to finish. 

• Can balance multiple projects without losing quality or momentum. 

• Communicates with clarity, confidence, and humility. 

• Wants to grow into a pricing SME and influence decisions across the business. 

• Values both leading and following depending on what the project requires