Guy Carpenter

Reinsurance

AIIntegrationSpecialistFallCo-op-CollegeProgram2026

$0–0k New York, New York, United States; Philadelphia, Pennsylvania, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“AI Integration Specialist Fall Co-op - College Program 2026 at Guy Carpenter. Skills: AI integration, Data automation, Workflow streamlining. Develop AI-enabled tooling. Automate data processing tasks”

Industry & Context.

Reinsurance
Problems you'll solve

Problem-solving skills; Analytical skills

What They're Looking For.

Must Have

Practical experience applying AI techniques, Pursuing a Master’s or Bachelor’s degree in a technical field, Robust data management skills, Superior communication and presentation skills, Analytical, problem-solving skills, Attention to detail, Financial aptitude, Collaborative, team-oriented mindset, Effective interpersonal skills, Capacity to progress multiple projects, Legal work authorization in the U.S.

Nice to Have

Expected graduation date of May 2027 or May 2028, Academic record in major and work experience is more important than field of study, Experience in the insurance industry, Experience using Microsoft SQL, Experience using Alteryx, Experience using large-language models, Experience using Databricks, Prior experience with software best practices, Experience building data products

What You'll Do.

Develop AI-enabled tooling

Automate data processing tasks

Streamline data processing tasks

Create capabilities to compare data

Create capabilities to reconcile data

Produce standardized outputs

Produce summary controls

Integrate tools into workflows

Ensure usability of tools

Drive iterative prototyping

Improve user adoption

Produce user-facing documentation

Produce training materials

Provide operational support

Establish relationships with colleagues

Maintain relationships with stakeholders

Take part in initiatives

Offer ideas for improvement

Provide feedback for improvement

How You'll Work.

Team & Collaboration

Cross-functional stakeholders; Data analysts; Data scientists; Engineers; Product managers; Internal teams

Communication Scope

Presentation skills; Translate technical analysis; Translate concepts

Full Job Description

## Company: Guy Carpenter ## ## Description: We are seeking a talented individual to join our Catastrophe Advisory team at Guy Carpenter as an AI Integration Specialist. This role will be based in **New York or Philadelphia**. This is a hybrid role that has a requirement of working at least three days a week in the office. **Program Duration:** Our co-op program is full time (~40 hour commitment per week) and runs from August to December 2026. As a member of our team, you will join a group of Catastrophe Advisors and will collaborate closely with data analysts, scientists, engineers, product managers, and stakeholders from various internal teams. You will contribute to streamlining workflows that support impactful analyses on a wide range of quantitative and qualitative topics, helping to shape strategic decisions and innovative solutions. **We will count on you to:** * Help develop AI-enabled tooling to automate and streamline manual data processing tasks used by the Catastrophe Advisory team * Create capabilities to compare and reconcile different versions of data, producing standardized outputs and summary controls * Collaborate with cross-functional stakeholders to integrate the tools into existing workflows and ensure usability * Drive iterative prototyping, testing, and refinement to improve reliability, performance, and user adoption * Produce user-facing documentation, training materials, and ongoing operational support for deployed tools * Establish and maintain strong relationships with colleagues and stakeholders * Take part in internal initiatives, offering ideas and feedback to improve outcomes **What you need to have:** * Practical experience applying AI techniques (including machine learning and modern large-language models) to automate processes * Pursuing a Master’s or Bachelor’s degree in a technical field such as Computer Science, Data Science, Mathematics, or a related quantitative discipline, or demonstrated ability to quickly learn new software

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