# Underwriting Systems & Analytics Intern at FM Global

- Company: [FM Global](https://fm.com)
- Location: Johnston, RI
- Type: Internship · Internship
- Posted: 2026-10-01
- Apply: https://careers.fm.com/jobs/2143?icims=1&lang=en-us
- Page: https://newgrad.ai/jobs/underwriting-systems-analytics-intern-f481319f

## Summary by newgrad.ai

What you'll do:

- Analyze operational data to support underwriting processes and reporting.
- Use AI-enabled tools to modernize and improve data workflows.
- Collaborate with cross-functional teams to solve complex business problems.

What they're looking for:

- Students pursuing degrees in math, computer science, engineering, or related fields.
- Ability to work full-time in Johnston, RI during Spring 2027.
- Proficiency in SQL, Power BI, and Microsoft Excel.
- Interest in machine learning, automation, and agentic AI technologies.

## Posting

Established nearly two centuries ago, FM is a leading mutual insurance company whose capital, scientific research capability and engineering expertise are solely dedicated to property risk management and the resilience of its policyholder-owners. These owners, who share the belief that the majority of property loss is preventable, represent many of the world’s largest organizations, including one of every four Fortune 500 companies. They work with FM to better understand the hazards that can impact their business continuity to make cost-effective risk management decisions, combining property loss prevention with insurance protection.

### Overview:

Are you interested in a dynamic career where you can leverage data, technology, and artificial intelligence to make a meaningful business impact? The Underwriting Systems & Analytics team has an exciting Co-op opportunity for you for Spring 2027!

When you join FM as an Underwriting Systems & Analytics Co-op, you will have the opportunity to work at the intersection of business, data, and technology. You will gain exposure to underwriting operations, analytics, reporting, and emerging technologies while working alongside experienced professionals across multiple business functions.

Our team supports underwriting through data analytics, reporting, and process optimization. This co-op position will provide the successful candidate with hands-on experience working with operational and analytical data, identifying process improvements, and exploring innovative applications of artificial intelligence. A key focus of this role will be helping modernize and enhance data processes through the use of AI-enabled tools and emerging technologies.

Through this co-op experience, you will gain practical experience with business intelligence, data analysis, workflow improvement, and technology-driven problem solving while collaborating with stakeholders across Underwriting, Operations, and Information Technology. If you enjoy solving complex problems, analyzing data, and exploring new technologies, we will put your analytical, organizational, and communication skills to use.

### Qualifications

- Currently pursuing a bachelor's degree in Mathematics, Computer Science, Engineering, Insurance/Risk Management, or a related field; however, candidates from other academic backgrounds with relevant skills or experience are encouraged to apply.

- Ability to work full time during the Spring internship and commute to the assigned office location throughout the internship.

- Strong verbal and written communication skills; good analytical, organizational, problem-solving, and interpersonal skills.

- Demonstrated curiosity and interest in leveraging technology and artificial intelligence to solve business problems.

- Ability to analyze information, identify opportunities for improvement, and present recommendations in a clear and meaningful way.

- Familiarity with Microsoft Excel, Power BI, and SQL.

- Exposure to artificial intelligence tools, including agentic AI, machine learning concepts, or automation technologies is preferred.

From FM Global's public posting, laid out for reading by newgrad.ai with the wording unchanged. Check the original before you apply.

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