Data / ML Intern

Responsibilities

• Build Python pipelines to extract and clean unstructured text from insurance, medical, and academic documents
• Convert raw text into standardized schemas (JSON) that feed our downstream analytics
• Develop models to surface trends in claims, renewals, and preventative care outcomes

Requirements

• Pursuing or completed a degree in Data Science, CS, Math, Biomedical Engineering, or Bioinformatics
• Solid Python and a real grasp of evaluation metrics (Accuracy, AUC, F1, etc.)
• Hands-on experience parsing text from PDFs, spreadsheets, and other unstructured sources
• Bonus: you've wrangled genuinely ugly documents before and lived to tell the tale
• You'll work directly with the founding team, ship things that go into the actual product, and see how an experienced team builds a company from zero.

Additional Information

Data / ML Intern, BenefitBee BenefitBee is a stealth-stage startup based in the US and Singapore, building AI-native infrastructure for the employee benefits world. The founding team has built and scaled venture-backed companies and brings operating experience from places like Wish, Meta, Blackrock and Mercer. If you join, you'll be learning directly from founders and operators who have done this at a serious scale. Our vision Employee benefits is a massive, deeply manual industry that still runs on PDFs, spreadsheets, and email. We think the entire workflow can be rebuilt around AI, turning messy, unstructured documents into structured intelligence that helps people make faster, better decisions. We're early and moving fast, and the people who join now will help shape both the product and the company.

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Company Intel

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