Description:

We are seeking a curious and hands-on Data Analyst Intern to help transform raw, unstructured data into clear, actionable insights. This role involves designing pipelines to extract information from documents (PDFs, images, etc.), analyzing internal product and user data, and surfacing key findings to guide decision-making. The ideal candidate is comfortable working with data across formats and has a strong interest in leveraging modern tools, including large language models (LLMs), for innovative extraction and analysis tasks.

Required Skills & Traits:

Proficiency in Python and data manipulation libraries (e.g., Pandas, NumPy)
Familiarity with working on semi-structured/unstructured data (PDFs, scanned documents, images)
Experience or strong interest in using LLMs or AI-based tools for document understanding
Comfortable working with backend or product data stored in modern data systems (e.g., cloud databases, analytics platforms)
Strong analytical thinking and the ability to independently generate insights
Clear communication skills and a structured approach to presenting findings

Expected Outcomes:

Design and implement a data pipeline for extracting structured data from PDFs, scanned documents, and other media
Leverage LLMs and/or OCR techniques to automate the extraction and transformation process
Analyze internal product or user data to identify trends, patterns, and actionable insights
Deliver regular insight reports or dashboards for cross-functional stakeholders
Document processes and contribute to building a scalable analytics foundation for the team

Specific Courses Required for Project Execution:

Data Science / Applied Analytics
Natural Language Processing / Machine Learning (basic exposure to LLMs is a plus)
Computer Vision / Image Processing
Programming for Data Science (Python)
Databases and Data Warehousing

RISA Labs, Inc - Healthcare- Data Science

Station Overview

Project 1

Title: Data Science Intern