Senior Insurance Data Scientist - Pricing & Strategy

Earnix; United States; Remote; USD 119,000 - 172,000; Full time

Job summary

Earnix is seeking a Senior Insurance Data Science Consultant to join our analytics team. This role influences pricing strategies and delivers actionable insights across multiple insurance lines, translating complex analytics to senior client executives.

You will build and evolve predictive models, integrate machine learning into pricing and risk assessment, and lead onboarding for new users to ensure rapid value realization from day one.

Qualifications

• 5+ years of experience in the insurance industry, with deep expertise in analytics, actuarial modeling, and predictive techniques.
• Strong hands-on experience with machine learning and statistical modeling to improve the accuracy, performance, and business impact of risk and pricing models.
• Advanced proficiency in Python and R, applied to building, validating, and deploying scalable analytical solutions.
• Experience working with intelligent decisioning platforms (such as Earnix or similar), integrating models into real-time pricing and personalization workflows.
• Strong executive presence with the ability to engage, influence, and advise senior stakeholders in client organizations.
• Willingness and flexibility to travel up to 25% domestically and internationally.

Responsibilities

• Lead pricing strategy discussions using advanced analytics and actuarial insight, ensuring decisions are grounded in data and aligned to business outcomes.
• Engage directly with senior executives, translating complex technical results into clear, compelling narratives that drive alignment and action.
• Build and evolve predictive models that assess risk and forecast demand—directly shaping pricing and business decisions across insurance products.
• Influence decision-making at the highest levels by connecting analytics to business value and strategic priorities.
• Demonstrate Earnix capabilities in executive and client settings, showing not just how the platform works—but what it enables.
• Lead onboarding and training for new users, ensuring fast adoption and rapid time-to-value from day one.
• Act as a trusted advisor to clients, bridging business, analytics, and technology to deliver measurable impact.

Skills

Predictive modeling

Machine learning

Actuarial modeling

Python

R

Data analytics

Earnix platform

Tools

Earnix platform

Job description

Earnix is seeking a Senior Insurance Data Science Consultant to join our analytics team. This role influences pricing strategies and delivers actionable insights across multiple insurance lines, translating complex analytics to senior client executives.

You will build and evolve predictive models, integrate machine learning into pricing and risk assessment, and lead onboarding for new users to ensure rapid value realization from day one.