Data Science AI Intern
External
Pointc · RemotePrepare for this interview
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Requirements
- 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
- Pay Transparency
- $20 - $25 USD
Benefits
Additional Information
Point C is a National third-party administrator (TPA) with local market presence that delivers customized self-funded benefit programs. Our commitment and partnership means thinking beyond the typical solutions in the market - to do more for clients - and take them beyond the standard "Point A to Point B." We have researched the most effective cost containment strategies and are driving down the cost of plans with innovative solutions such as, network and payment integrity, pharmacy benefits and care management. There are many companies with a mission. We are a mission with a company. Point C is seeking an AI Data Science Intern to join our Operations team this summer/fall. You'll work directly with operational leaders across claims, plan administration, client services, and clinical functions to identify manual workflows and build AI-assisted tools that drive real efficiency. This is not a shadow-and-observe internship. You'll have real ownership, real problems, and direct exposure to leadership. The internship is set for 10-12 weeks but may be extended based on business needs. Primary Responsibilities: 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
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