Social Sector Data & AI Intern: Dashboards & Automation

Inter-American Development Bank; Washington (District of Columbia); On-site; USD 28,000 - 41,000; Full time

Job summary

The Inter-American Development Bank (IDB) is seeking an active graduate student for the Social Sector Data Automation and AI Intern position in Washington, DC. This paid internship offers on-the-job learning, exposure to AI tools, and hands-on work with data dashboards and datasets in a development context.

You will contribute to building AI-enabled review tools, supporting portfolio analysis, and collaborating with diverse teams to improve decision making.

Qualifications

• Active graduate student in a quantitative program (data science, CS, engineering, economics, or public policy) with graduation after internship period.
• Fluency in English; working knowledge of another Bank language (Spanish/French/Portuguese) is a plus.
• Strong ability to learn, collaborate, and communicate with clients; willingness to innovate.

Responsibilities

• Support dashboards to monitor the Sector's portfolio, deadlines, eligibility, and disbursement indicators.
• Create structured datasets to support AI tools and guidance for operational teams.
• Assist design, testing, and evaluation of AI agents for project documents.
• Analyze portfolio and quality data to identify trends and document tools and methods.

Skills

Learn continuously

Collaborate and share knowledge

Client focus

Communicate and influence

Innovate and try new things

Education

Active graduate student in Data Science/CS/Engineering/Economics/Public Policy

Tools

Power BI

Python

R

Microsoft Copilot

Job description

The Inter-American Development Bank (IDB) is seeking an active graduate student for the Social Sector Data Automation and AI Intern position in Washington, DC. This paid internship offers on-the-job learning, exposure to AI tools, and hands-on work with data dashboards and datasets in a development context.

You will contribute to building AI-enabled review tools, supporting portfolio analysis, and collaborating with diverse teams to improve decision making.