Applied AI Intern — Automation & Data Systems | Fall 2026 (Academic Credit Only)

KVLR Capital is a New York–based private equity fund focused on healthcare M&A. We're building out an AI-driven data function across our portfolio, from deal screening to clinical operations analytics. An intern will work directly on that build, not on simulated projects.

This is a hands-on role inside a small, senior team. You'll see how a real investment process runs, participating in deal diligence, financial modeling, and regulatory tracking. You'll also build the automation and data tools that support it.

What you'll work on:

• Build automated deal-screening tools: revenue quality checks, customer concentration flags, and comp analysis used in live acquisition diligence.
• Maintain and extend data models for specialty pharmaceutical margin analysis and healthcare referral pipeline tracking.
• Design workflow automations using n8n, Make, Zapier, and APIs that connect data pipelines to LLM-powered analysis.
• Apply prompt engineering to produce structured, decision-ready AI output.
• Contribute to dashboards used by leadership to track portfolio company performance.

Qualifications:

• Completed or near-completing a four-year degree in computer science, data analytics, information systems, finance, or operations.
• Hands-on exposure to data analysis, scripting, or automation; class projects count.
• Comfortable with ambiguity and working in a small team building real infrastructure.
• Curious about AI, finance, and healthcare; able to explain your reasoning clearly in writing and conversation.
• Nice to have: Python, SQL, APIs/databases, or no-code automation experience.
• Computer science experience: 1 year required.

Program: 3 months, weekly team roundtables plus applied project work. Portfolio-ready deliverable, subject to confidentiality requirements.

Compensation: UNPAID — academic credit only, subject to your institution's and KVLR's approval. Location: Remote. Flexible schedule. Start date: October 2026.

To apply, follow KVLR Capital on LinkedIn and send a message with your interest and a short note about an academic or personal project where you used data or automation to solve a real problem.