Senior Predictive Analytics Analyst - Personal Auto Insurance

Are You Driven?® We Are.

We are a company of driven, enthusiastic and determined people. We celebrate achievement and success. We foster innovation, determination and recognition. Because of that, our employees feel recognized and rewarded for the contributions they make on a daily basis. At GAINSCO, It is our people that set us apart.

If you are looking for a place where you can make a difference, perceive how your work impacts the company, and be recognized for your efforts and passion, then GAINSCO is the company for you.

Why Join GAINSCO?

GAINSCO’s work environment rewards engaged individuals who have a desire to contribute and succeed. That’s because our culture encourages individuals to grow their skills as they build their careers. Come join us and become a champion with GAINSCO.

Are you passionate about using data to drive smarter decisions? GAINSCO is seeking a Senior Predictive Analytics Analyst to lead the development of advanced models that inform pricing, underwriting, and strategic growth. This role blends technical expertise with business acumen, supporting cross-functional teams and regulatory compliance in a dynamic insurance environment.

What does a Senior Predictive Analytics Analyst do?

• Build predictive models for loss cost, retention, lifetime value, and more using internal and external data.
• Apply advanced statistical and machine learning techniques (GLMs, GBMs, decision trees, clustering, random forests).
• Present insights and recommendations to senior leadership and business stakeholders in a clear, actionable format.
• Monitor model performance and implement iterative improvements.
• Create documentation for regulatory filings and respond to Insurance Department inquiries.
• Collaborate with Product, Actuarial, and Claims teams to align analytics with business goals.

What is required?

Education:

• Bachelor’s degree required, preferably in Mathematics, Actuarial Science, Risk Management, Economics, Computer Science, Information Management, or Statistics.

Experience:

• 8 or more years of experience in insurance product development, actuarial, or product management within the personal auto insurance industry required.
• 5 or more years’ progressive data science experience in designing, developing, evaluating, and deploying predictive modeling, machine learning and advanced analytics required.
• Experience with structured and unstructured data analysis is required.
• Proficiency with Python and SQL required.

Other skills and abilities:

• Understanding of statistical and predictive modeling techniques such as GLMs, machine learning, decision trees, clustering, forests, and neural networks and their application to business decisions.
• Proven skills as a business consultant who uses modeling skills to answer business questions and drive profitable growth.
• Ability to convey complex topics and results to non-technical audiences.
• Ability to adapt quickly to changing timelines.

What else do you need to know?

• Remote
• Excellent benefits package medical & dental, vision insurance, life insurance, short-term and long-term disability insurance.
• Parental Leave Policy
• 401K + Company Match
• PTO Plan + Paid Company determined Holidays.

**Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g. H-1B visa) for this opportunity**

All offers are contingent upon a successful background investigation (including employment, education, criminal and DMV verification- when applicable) and a pre-employment drug test with results satisfactory to GAINSCO.

GAINSCO is an Equal Employment Opportunity Employer