Summer 2026 Internship Program - Payment Integrity

About Carisk Partners, Inc.

Carisk Partners, a Best Places to Work award winning organization, is a specialty risk transfer, care-coordination company servicing insurers, government entities, self-insured plan sponsors and other managed care organizations. Through its Pathways 2 Recovery care model, Carisk Partners aims to improve outcomes and reduce overall cost of quality care by applying best practices in a patient – centered approach to manage complex challenges for the group health, casualty and auto markets.

Department/Program Overview

We are seeking motivated, college-level interns to join our Summer Internship Program. Interns will support a strategic data integrity project focused on validating and updating historical sales and operational data as Carisk transitions from legacy systems to new proprietary platforms. 

Interns will work closely with Sales Operations, IT, and Business Intelligence teams to review, cleanse, and reconcile data to ensure accuracy, consistency, and usability across the organization. 

Available Data Integrity Internship Track / Requirements

1. Data Integrity & Systems Migration Intern

This role focuses on validating, cleaning, and updating historical data from legacy systems and ensuring accurate migration into new proprietary platforms. 

Responsibilities include:

• Reviewing historical sales and operational records from multiple legacy systems
• Comparing legacy data to records in new proprietary platforms to identify gaps and discrepancies
• Validating key data fields such as:
• • Account and contact information
  • Sales activity details and status
  • Operational and case-related metrics
• Executing defined data cleansing activities (standardizing formats, correcting obvious errors, de-duplicating records)
• Updating and maintaining data in Carisk’s new platforms according to established rules and workflows
• Documenting findings, data issues, and recurring patterns for review by Sales Operations and IT
• Assisting with test scenarios and spot checks for data migration quality
• Supporting the creation and maintenance of data dictionaries, process guides, and integrity checklists
• Contributing to additional data integrity, reporting, and process improvement projects throughout the summer

Program Requirements

• Currently enrolled college students (data analytics, information systems, business, statistics, or related fields preferred)
• Strong attention to detail and commitment to data accuracy and consistency
• Comfort working with large data sets in spreadsheets and/or basic database tools
• Ability to follow detailed procedures and apply defined business rules to data
• Strong organizational and documentation skills
• Comfortable using Microsoft Excel and other collaborative tools; exposure to databases, CRM, or BI tools is a plus
• Prior experience with data, analytics, or operations (job, internship, or coursework) is a plus, but not required
• Hard-working, motivated, and driven individuals with an interest in data, operations, and process improvement

 What You’ll Gain

• Hands-on experience with data validation, cleansing, and migration projects
• Exposure to how sales and operational data support decision-making and performance management
• Practical experience working with new proprietary platforms and legacy-to-modern system transitions
• Mentorship from Sales Operations, IT, and Business Intelligence professionals
• A structured internship with clear project goals, milestones, and deliverables
• Exposure to the workers’ compensation and managed care industries, fields actively seeking to attract the next generation of professionals
• Experience working in a fast-paced, collaborative corporate environment, preparing you for your career after graduation

Application Instructions

When applying, please specify that you are applying for the:

• Data Integrity & Systems Migration Intern (Summer 2026)

Applicants may also note any relevant data, analytics, or systems-related experience (work, internship, or coursework) in