Partner with operational leaders to identify high-friction, high-volume manual workflows and opportunities to automate and improve processes using AI and data science across claims, plan administration, client services, and clinical/UM functions
Design and build AI-assisted tools and prototype solutions using Anthropic’s Claude platform – from prompt-based assistants to lightweight internal apps; focus is on initial concepts and working prototypes, not full-scale production builds
Prototype quickly; target concept-to-working-demo timelines of days, not weeks; partner with engineers and technical team members to hand off and build out solutions beyond the prototype stage
Collaborate with the AI & Automation Engineering team on solutions requiring API integrations or multi-system workflows
Document use cases, build logic, and outcomes so solutions are repeatable beyond the internship; write clear documentation capturing the idea, logic, and intended approach for each solution to enable handoff and continuity
Present findings and ROI framing to operational and executive leadership
Help build and deliver an AI Efficiency Playbook at the close of the internship – capturing what was built, what it replaced, recommended next steps, and a framework for how Point C can continue identifying and implementing AI-driven improvements

Currently a Senior or Graduate student enrolled in a degree program in Business, Computer Science, Health Informatics, Operations, or a related field
Hands-on experience with AI tools such as Claude, ChatGPT, or similar LLMs
Strong written and verbal communication skills; able to translate technical ideas for non-technical audiences
Ability to work independently, manage ambiguity, and prioritize across multiple projects
Experience with prompt engineering, APIs, or workflow automation tools (Make, Zapier, Power Automate) is a strong plus
Familiarity with Python, JavaScript, or C#/.NET is a plus
Prior exposure to healthcare, TPAs, or regulated operational environments is a plus

Data Science AI Intern

Key skills