Senior Insurance Data Science Consultant

Description

We are seeking a highly experienced and strategically-minded Senior Insurance Data Science Consultant to join our growing analytics team. This role is ideal for a seasoned professional with actuarial experience and deep expertise in predictive modeling, machine learning, and insurance analytics. You will play a pivotal role in influencing client decision-making, shaping pricing strategies and delivering actionable insights to clients across multiple lines of business.


This role is based in Texas, supporting our regional clients, and is part of our North America team headquartered in Boston, MA.

What you'll do

• 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.

Requirements

You'll do it using:

• 15+ 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 programming languages such as 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 40% domestically and internationally.

You'll excel by:

• Communicating with clarity and executive presence, making complex data and models actionable for senior leadership.
• Building trusted client relationships, understanding business needs, and delivering insights that drive measurable strategic outcomes.
• Collaborating across teams, sharing knowledge and mentoring others to elevate the organization's analytical capability.
• Adapting quickly to new challenges, staying curious and proactive in a fast-paced, innovation-driven environment.

Salary Range:

$ 180,000-204,000 per year

Position Intro

Earnix is the first AI company purpose-built for insurance decisioning, providing the industry with the intelligence, governance, and decisioning agility to drive profitable growth, improve resilience, and operate with speed and precision in a rapidly changing risk environment. A trusted provider of production-grade AI and decisioning technology, Earnix builds on more than 25 years of experience in artificial intelligence risk, pricing, rating, analytics, and decisioning. Earnix brings vertical AI into the workflows and decisions that shape insurance performance across insurers' pricing, underwriting, claims, customer engagement, retention, and other insurers high-value insurance moments. Earnix's AIOS enables insurers to orchestrate intelligence across the insurance decision lifecycle and drive governed, real-time decisions that deliver measurable business outcomes. Earnix is headquartered in Boston, MA and has been innovating for insurers and banks since 2001 with customers in over 35 countries across six continents and offices in the Americas, Europe, Asia Pacific, and Israel.