Public Policy Data Fellow: AI/ML for Social Impact

and officially incorporated; United States; Hybrid; USD 60,000 - 90,000; Full time

Benefits offered by this job

Health insurance

Job summary

The Applied Data Fellowship (ADF) at the University of Chicago Harris School of Public Policy is a year-long, full-time program that embeds data professionals into mission-driven organizations, spanning government agencies, nonprofits, and foundations.

Analysts may serve as Analysts, Builders, or Data Shamans, moving projects from scoping to full-scale implementation with weekly upskilling workshops and dedicated mentorship from the UChicago ecosystem.

Qualifications

• Elite analytical skills and a deep commitment to social impact.
• Ability to coordinate stakeholders and drive projects forward.
• Experience building dashboards and implementing AI/ML solutions.

Responsibilities

• Move critical projects from scoping to implementation in partner organizations.
• Coordinate stakeholders across multiple projects and teams.
• Develop data products and dashboards to inform policy decisions.

Skills

Analytical skills

Stakeholder coordination

Dashboard building

AI/ML implementation

Education

Graduate degree in public policy

Data science degree

Tools

Data visualization tools

Statistical software

Job description

USA Computer Science Machine Learning Others

About this opportunity

The Applied Data Fellowship (ADF) at the University of Chicago Harris School of Public Policy is a high-impact program that embeds data professionals into mission-driven organizations. Fellows serve as “Analysts,” “Builders,” or “Data Shamans,” working for one year to move critical projects from initial scoping to full-scale implementation within government agencies, nonprofits, and foundations.The fellowship is designed for individuals who possess elite analytical skills and a deep commitment to social impact. Fellows are not just “crunching numbers”; they are coordinating stakeholders, building dashboards, and implementing AI/ML solutions that drive systemic change. The program provides a “Safety Net” of technical mentorship from the UChicago ecosystem, ensuring that every fellow has the support needed to overcome complex implementation hurdles.The selection process is highly competitive, with a focus on matching specific technical profiles with active partner projects. Beyond the work placement, the ADF offers a year of continuous learning through weekly upskilling workshops, fireside chats with industry leaders, and regular demos of cutting-edge data tools. This combination of hands-on experience and structured learning makes the ADF a premier launchpad for careers at the intersection of data science and public policy.Target Audience: Graduate-level analysts, builders, and problem solvers from programs in public policy, data science, economics, computer science, and related fields.Geographic Eligibility: United States (various locations based on partner placements).Tangible Benefits: Competitive stipend, comprehensive health insurance, one-on-one mentorship, weekly upskilling workshops, and access to the UChicago technical ecosystem.Application Deadline: Rolling (Applications are reviewed year-round).Program Duration: 1 year (Full-time commitment).

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