Senior Actuarial Data Consultant

About the role

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.

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.

Requirements

• 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.

QualificationsMaster's degree in Statistics, Mathematics, Computer Science, Engineering, or a related field.

Skills

• Advanced proficiency in Python and R.

• Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-Learn.

• Knowledge of statistical software packages such as SAS, SPSS, or Tableau.

• Experience with data warehousing and ETL processes.

• Understanding of insurance pricing and underwriting principles.

Benefits

Competitive salary range of $180,000 - $204,000 per year, comprehensive benefits package, professional development opportunities, and a dynamic work environment.

Pay

$180,000 - $204,000 per year

Schedule

Full-time position, with occasional travel required.