Senior Data Scientist

Role Overview

• Develop, enhance, and maintain predictive models (e.g., GLMs, machine learning, ensemble approaches) to support pricing, segmentation, and performance forecasting while balancing regulator considerations.
• Lead exploratory data analysis to evaluate relationships between data elements and insurance processes, including pricing, conversion, retention, and risk segmentation.
• Apply advanced statistical techniques to identify key drivers of sales, retention, and profitability, and forecast expected outcomes.
• Translate complex technical findings into clear, actionable insights for both technical and non-technical audiences through presentations, reports, and visualizations.
• Perform advanced root cause analysis using complex SQL and analytical techniques to investigate data inconsistencies and system issues; collaborate with Data Engineering and Business Units to resolve findings.
• Design, implement, and maintain scalable data pipelines to collect, process, and integrate structured and unstructured data from internal systems and external data sources.
• Lead data science projects end-to-end, owning analytical scope, methodology, timelines, and deliverables.
• Serve as a technical lead on larger, cross-functional initiatives.
• 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.

Requirements

• 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.
• Strong proficiency in Python, SQL, R, or other statistical programming languages for data manipulation, modeling, and analysis.
• Strong foundation in statistical modeling and machine learning, with the ability to interpret and clearly communicate model results.
• 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.
• Excellent written and verbal communication skills, with the ability to influence across both technical and non-technical audiences.

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)