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Paid Intern, Data Science

Corporation for Supportive Housing
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TITLE: Paid Intern, Data Science

DEPARTMENT:  Data & Analytics/Strategy & External Affairs

LOCATION: Remote

Who We Are:

CSH is a national nonprofit that is dedicated to advance housing solutions by improving the lives of people with complex barriers to housing, maximizing public resources, and building strong, healthy communities. 
For more than 30 years, CSH has changed lives by: 

  • Helping communities create more than 467,000 homes for individuals and families;
  • Bringing hope to thousands who thought they would live on the streets or reside in institutions and
  • Ensuring not only a home but access to the services and supports that people and communities need to thrive.

CSH has proven that supportive housing can change the lives of individuals, families, and communities. It also has created a team of nationally recognized experts who are deeply dedicated to our organization and its goals. We are looking for candidates committed to making a difference and who aspire to advance our mission. 

Why We Need You: 

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.

Who You Are:

  • 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.


Additional Preferred Skills: 

  • 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).

What You Will Do:

  • 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.

How We Work:

CSH interns are adaptable, entrepreneurial, creative, and flexible problem-solvers. CSH staff are strategic thinkers who are committed to treating each other and the communities we serve with respect. You share a passion for the CSH mission and possess the skills to meet the expectations of this role.

Compensation & Hours:

  • Compensation: $30 per hour
  • Schedule: 20 hours per week
  • Duration: 12‑week internship

To be eligible for this internship, candidates must be enrolled in an accredited academic program through Spring 2026.

To Apply:

Candidates submit their Resume and Cover Letter as one Microsoft Word or PDF document. In the cover letter, candidates should explain why they want to work at CSH and how their studies and experience will contribute to the role.