Paid Intern, Data Science
About The Position
CSH is seeking a curious, analytical, and mission‑driven Data Science Intern to join our Strategy & External Affairs and Data & Analytics teams for Spring 2026. This is a great opportunity for a student who is passionate about using data to drive social impact, advance housing policy, and support equitable outcomes. You’ll help bring our mission to life by transforming complex information into meaningful insights that strengthen our research, advocacy, and policy efforts. Projects may include assisting with the analysis of state Qualified Allocation Plans (QAPs), developing qualitative coding structures in ATLAS.ti 25, identifying policy trends, and supporting data-driven reports and visualizations. Specific internship goals will be crafted collaboratively, based on student interests and CSH’s research needs.
Requirements
- Currently pursuing or recently completed a degree in Data Science, Statistics, Computer Science, Public Policy, or a related field.
- Familiarity with qualitative data analysis tools (e.g. ATLAS.ti) and AI/NLP techniques for text analysis.
- Strong interest in social issues, housing policy, and using data for advocacy and systemic change.
- Basic proficiency in Python or R for data manipulation and analysis.
- Excellent written and verbal communication skills; ability to translate technical findings into actionable insights.
- Detail-oriented, curious, and eager to learn in a mission-driven environment.
Nice To Haves
- Experience with natural language processing (NLP) or machine learning for text classification.
- Knowledge of affordable housing programs or policy analysis.
- Familiarity with data visualization tools (e.g., Tableau, Power BI).
Responsibilities
- Assist in analyzing Qualified Allocation Plans (QAPs) issued by state housing finance agencies.
- Use qualitative analysis tools and AI-driven document review techniques to extract insights from policy documents.
- Support the development of frameworks to evaluate how states address community housing needs through their housing development policy and priorities.
- Collaborate with the data and analytics team to design and implement workflows for coding guidelines, document, classification, text mining, and trend analysis.
- Create a replicable process to support future analyses, including developing code definitions and examples and decision rules.
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What This Job Offers
Career Level
Intern
Education Level
No Education Listed
