Company

International SOS is looking to recruit a 6-month Data Analysis Intern to support in an upcoming project, an internal initiative aimed at conducting an in-depth analysis of high-cost medical conditions using proprietary health data sets from the past year. The project will support strategic decision-making by identifying cost drivers and patterns in medical claims.

The Role

• Work in close supervision by the project leadership manager.

• Build and evaluate an NLP/LLM-assisted pipeline to automatically map messy medical descriptions/claims text to ICD-10 (simplified), with measurable accuracy and human-in-the-loop validation.

• Data understanding and labeling applied to NLP/LLM approach in collaboration with Intl.SOS health  expert for review.  Review and code health and claims records using simplified ICD-10 coding system.

• Extract and organize relevant data to associate costs claimed with ICD-coded health files.

• Perform data analysis to identify trends and insights related to high-cost medical conditions.

• Ensure strict compliance with the organization’s confidentiality and privacy policies.

• Prepare reports and dashboards using tools such as Excel and Power BI.

• Communicate findings clearly in English (written and verbal).

Why Join Us?

• Gain hands-on experience in health data analytics within a global organization.

• Work on a meaningful project impacting healthcare cost management.

• Exposure to advanced tools and real-world data sets.

Requirements

• Undergraduates currently pursuing or recently completed a degree in Data Analytics, Health Information Management, Statistics, or related fields.

• Possess strong data analysis skills.

• Proficiency in Python (pandas) and ability to build a small reproducible NLP pipeline.

• Basic knowledge of NLP/LLMs (text classification, embeddings, prompt design).

• Familiarity with medical terminology (clinical training not required).

• Ability to apply ICD-10 (simplified version) coding to health records.

• Proficiency in Excel, Power BI, and email communication tools.

• Experience with RAG / vector search and/or tools like spaCy, transformers will be an added advantage.

• Familiarity with ICD-10 mapping or medical NLP preferred.