Actuarial Data Scientist (Insurtech)

TL;DR

Actuarial Data Scientist (Insurtech): Owning and evolving end-to-end reserving and predictive modeling capabilities with an accent on Python-based reserving models and telematics-driven risk analysis. Focus on building predictive models for pricing, cancellation strategy, and large loss detection to drive underwriting performance and profitable growth.

Location: Must be authorized to work in the U.S. (Remote)

Salary: $128,000 - $185,000

Company

hirify.global is the nation’s leading commercial trucking insurtech, combining insurance products with telematics-based driver coaching to improve road safety.

What you will do

• Improve end-to-end reserving processes by maintaining and enhancing Python-based models.
• Develop predictive models using telematics, claims, and policy data to optimize risk selection.
• Build large loss models to improve early identification of high-risk claims.
• Design and implement dynamic pricing frameworks leveraging live market and portfolio data.
• Translate complex data insights into actionable business recommendations for leadership.
• Automate recurring analytical workflows to increase speed and reliability.

Requirements

• Must be authorized to work for any employer in the U.S.
• Experience with insurance analytics, actuarial modeling, or predictive risk modeling.
• Strong proficiency in Python for statistical modeling and data analysis.
• Experience working with large-scale datasets and building production-grade models.
• Strong SQL and data manipulation skills.
• Experience applying machine learning techniques such as regression, gradient boosting, or anomaly detection.

Nice to have

• Actuarial certification or background.
• Mathematics degree.
• Big Four consulting experience.

Culture & Benefits

• Comprehensive health care plan (Medical, Dental & Vision).
• 401(k) retirement plan with company match.
• Wellness benefits including EAP and gym reimbursement.
• Paid time off and paid family leave.
• Tuition assistance and professional development opportunities.

Hiring process

• Interview process may include a brief work exercise related to predictive modeling and risk analysis, for which compensation is provided.