Student Opportunities - Statistical Modeling Internship (PhD level) - Summer 2027 (Hybrid)

Cincinnati Insurance Company; Fairfield (OH); On-site; USD 39,000 - 52,000; Full time

Job summary

The Cincinnati Insurance Companies’ Pricing & Predictive Analytics and Corporate Actuarial departments are seeking doctoral-level Predictive/Statistical Modeling Interns. This role is for students who have earned a bachelor’s degree and are currently enrolled in a PhD program, with Summer 2027 experience at our Fairfield, OH headquarters.

You will work with experienced professionals to learn about property/casualty actuarial work, build models, and contribute to the modeling and analytics team.

Qualifications

• Enrolled in a doctoral (PhD) program in a quantitative field
• Bachelor’s degree (or above) in mathematics, statistics, economics, physics, engineering, actuarial science, or related quantitative field
• Collegiate transcripts required (unofficial acceptable)
• Cumulative GPA 3.0+ preferred
• Must be able to work up to 40 hours per week
• Experience with Excel, Python, R, and/or SAS
• Familiarity with regression and machine learning models
• Strong work ethic and willingness to learn
• Strong communication and teamwork skills
• Proficient in Microsoft Office tools

Responsibilities

• Assist with development and maintenance of multivariate pricing and underwriting models for personal and business insurance
• Assist with development and maintenance of claims analytic models
• Conduct research and development for predictive models
• Assist with model deployment and delivery of results
• Interact with actuaries and management
• Collaborate across Commercial Lines, Personal Lines, Claims, and IT

Skills

Excel

Python

R

SAS

Regression models

Machine learning models

Communication

Interpersonal skills

Organizational skills

Education

Bachelor’s degree

Doctoral (PhD) program

Tools

None

Job description

MAKE A DIFFERENCE Share your talents and develop your skills as you build a career in a professional environment with a personal feel.

Description

Build your future with us

The Cincinnati Insurance Companies’ Pricing & Predictive Analytics and Corporate Actuarial departments are currently seekingdoctoral-level Predictive/Statistical Modeling Intern(s).This role is intended for students who have earned a bachelor’s degree and are currently enrolled in a doctoral (PhD) program.Our successful candidates will want to gain a meaningful work experience with us for Summer 2027 at our corporate headquarters located in Fairfield, OH.

We are looking for a highly talented graduate students who are interested in learning new things and can contribute to a dynamic and broadly skilled modeling/actuarial department.This is an opportunity to work with experienced professionals, to learn about the property/casualty actuarial profession, and to build connections that may lead to future job prospects.

Make a difference with a career in insurance

At The Cincinnati Insurance Companies, we put people first and apply the Golden Rule to our daily operations. To put this into action, we’re looking for extraordinary people to join our talented team. Our service-oriented, ethical, knowledgeable, caring associates are the heart of our vision to be the best company serving independent agents. We help protect families and businesses as they work to prevent or recover from a loss. Share your talents to help us reach for continued success as we bring value to the communities we serve and demonstrate that Actions Speak Louder in Person®.

If you’re ready to build productive relationships, collaborate within a diverse team, embrace challenges, and develop your skills, then Cincinnati may be the place for you. We offer career opportunities where you can contribute and grow.

Starting Pay

Begins at $33 per hour and is based on the applicant’s education, experience, completed tests (if applicable), knowledge, skills, andabilities. Interns for this role may be eligible for housing assistance, based on approved criteria.

Be equipped with/to:

• assist with the development and maintenance of multivariate pricing and underwriting models for personal and business insurance
• assist with the development and maintenance of claims analytic models
• conduct research and development leading to potentially useful predictive models in the future
• assist with model deployment and delivery of results
• interact with actuaries and company management
• interact with several departments within the company, including Commercial Lines, Personal Lines, Claims, and IT
  

Requirements:

• enrolled in a doctoral (PhD) program in a quantitative field of studyat an accredited college/university
• earned a bachelor’s degree (or above) in mathematics, statistics, economics, physics, engineering, actuarial science, or related quantitative field
• collegiate transcripts required with submission of candidate profile (unofficial are acceptable)
• in good academic standing (cumulative GPA: 3.0 or higher preferred)
• must be able to work up to 40 hours per week
• experience with Excel
• experience with Python, R, and/or SAS
• knowledge of regression models
• knowledge of machine learning models
• strong work ethic and commitment to learning new things
• strong communication, interpersonal, and organizational skills
• proficient in Microsoft® Office tools and related software

Enhance your talents

Providing outstanding service and developing strong relationships with our independent agents are hallmarks of our company. Whether you have experience from another carrier or you’re new to the insurance industry, we promote a lifelong learning approach. Cincinnati provides you with the tools and training to be successful and to become a trusted, respected insurance professional - all while enjoying a meaningful career.

Embrace a diverse team

As a relationship-based organization, we welcome and value a diverse workforce. We grant equal employment opportunity to all qualified persons without regard to race; creed; color; sex, including sexual orientation, gender identity and transgender status; religion; national origin; age; disability;military service; veteran status; pregnancy; AIDS/HIV or genetic information;or any other basis prohibited by law.All job applicants have rights under Federal Employment Laws. Please review this information to learn more about those rights.