About The Position

Are you curious about how technology, data, and customer experience come together in real‑world products? The LexisNexis Customer Operations AI team is offering a Summer 2026 internship for students seeking hands‑on experience improving digital customer support through data and insights. About our Team LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today’s top model creators for each individual legal use case. About the Role The Customer Operations AI team at LexisNexis is exploring how artificial intelligence can improve digital customer support experiences. For Summer 2026, we are offering a paid, flexible internship (6–8 weeks, about 20 hours per week, Monday–Friday) for a student interested in customer experience, data, and problem‑solving. In this role, you will help identify where customers experience confusion or friction when using digital support tools. You will review customer interactions, feedback, and performance data, then turn what you learn into practical recommendations that help teams improve how customers get help at scale. Proposed Start Date: June 15, 2026, but Flexible Duration: 6-8 Weeks Hours: ~20 hours/week (flexible), Monday–Friday. Work arrangement: Remote home-based.

Requirements

  • Be currently enrolled in an undergraduate or graduate program in any related field (for example: analytics, psychology, business, information science, UX/CX, or similar areas of study).
  • Demonstrate proficiency in Microsoft Office, specifically Excel, or have other spreadsheet proficiency or familiarity with structured data.
  • Possess an interest in understanding customer experiences and improving how people interact with digital tools.
  • Display experience in analyzing both written information and basic data to identify patterns and insights.
  • Possess effective written and verbal communication skills to document findings and share ideas clearly.
  • Display a customer-focused mindset with a structured approach to problem-solving, demonstrating responsibility and respect when handling customer-related information.
  • Display curiosity and eagerness to learn new tools and technologies.
  • Be self-driven and open to receiving and applying constructive feedback.

Responsibilities

  • Review customer support interactions (such as chat or voice transcripts) to identify common questions, pain points, and moments where customers disengage.
  • Analyze customer feedback, including surveys and written comments, to understand and identify patterns and improvement opportunities.
  • Use basic performance metrics to help explain where digital support experiences can be more effective.
  • Summarize findings into clear themes and explain the underlying causes of customer challenges.
  • Develop practical, prioritized recommendations to improve digital support experiences.
  • Suggest simple ways to measure whether proposed improvements are effective.
  • Collaborate with team members across quality, design, and technology to refine insights.
  • Share progress and final findings with project stakeholders in a clear and thoughtful way.
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