Policy Data & AI Intern at National Journal in Washington DC

Summary: National Journal is a premier research and insights company helping organizations navigate Washington’s political landscape. The Policy Data & AI Intern will build custom AI applications, design workflows, and synthesize policy research into actionable insights for senior decision-makers. Responsibilities: - Builds custom AI applications and workflows to support research, summarize reporting, and surface key insights - Bridges editorial and analytical workflows, refining AI-assisted outputs into newsletter-ready insights - Applies AI-driven approaches to synthesize datasets and reporting, contextualizing findings within broader policy and political trends - Leverages AI and automation to create high-quality presentations and executive-ready visual summaries from diverse news and information sources - Develops and deploys daily newsletters that spotlight the team’s content using AI tools - Evaluates AI outputs for accuracy, handles administrative duties, and supports broader team research as needed Required Qualifications: - Current graduate or undergraduate student with an interest in politics or public policy (economics, statistics, data science, or a related quantitative field is a plus) - Experience working with datasets and AI platforms (e.g., ChatGPT, Claude) to support research, data analysis, and policy insight generation - Strong analytical and communication skills, able to synthesize complex quantitative and qualitative research into clear, accurate, and concise insights - Proficient with Microsoft Excel and PowerPoint; highly skilled in creating graphical and visual representations of data for executive audiences - Highly organized, detail-oriented, and proactive about testing and implementing new tools - Entrepreneurial, creative, and resourceful problem-solver, with a prodigious work ethic and spirit of generosity for independent and collaborative work - Ability to work independently and as part of a team Required Skills: AI platforms, Data analysis, Policy research, Microsoft Excel, Microsoft PowerPoint, Data visualization, Quantitative research, Qualitative research