AI & Analytics Intern (Summer 2025)

Washington, District of Columbia, United States

Weber Shandwick

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AI & Analytics Intern (Summer 2025)

 

Join our team as an AI & Analytics Intern to drive the integration and formalization of AI best practices across our PR analytics, advisory, and product development teams. You'll work directly with our analytics and innovation teams, experimenting with the latest AI agents and tools, developing systematic approaches to prompt engineering, and building scalable processes for both core deliverables and novel applications. This unique opportunity places you at the forefront of formalizing AI best practices for analyzing client documents, media conversations, audience personas, and outcome measurement, bridging the gap between cutting-edge AI, academic training in AI, and real-world PR application.

 

The ideal candidate will have a background in computer science, machine learning, or AI-related fields, have hands-on experience testing prompts and workflows across AI platforms, and is curious about ways that AI can be embedded within PR, communications, and analytics work. Interest and experience across at least one PR discipline (multichannel media analyses, crisis, influencer, corporate reputation, brand marketing, creative, strategy, analytics, etc.) is preferred.

 

Responsibilities:

  • Collaborate with analytics and innovation teams to document how AI is incorporated within existing workflows, formalize methodologies, iterate prompts to incorporate feedback from human reviewers, and create step-by-step guides
  • Test robustness of AI-powered findings across prompts, platforms, and presets through prompt-based and API interfaces
  • Translate the implications and impact of technical nuances and 'under-the-hood' model calibrations for non-technical teams
  • Generate use case summaries, efficacy benchmarks, and case studies
  • Monitor and share information on emerging trends, frontier AI tools, solutions, and agents, particularly those with applications in PR

 

Qualifications:

  • Academic training in computer science, large language models (LLMs), or AI-related technical fields
  • Demonstrated knowledge and experience with natural language processing (NLP) concepts, APIs, code libraries, model evaluation, and automation tools
  • Interest in, and ideally academic classes or experience in at least one PR discipline (multichannel media analyses, crisis, influencer, corporate reputation, brand marketing, creative, strategy, analytics, etc.)
  • Strong interest in collaborating with multi-disciplinary teams focused on AI application and deployment within PR and communication domains
  • Basic understanding of data analysis concepts and methodologies
  • Exceptional attention to detail in documenting, annotating, and markdowns of scripts, prompts, and technical instructions
  • Excellent written and verbal communication skills

 

Requirements:

  • Education: The ideal candidate must be a recent college graduate or have demonstrated transferable skills
  • Availability: 40 hours a week throughout the duration of your internship. This role will start soon and then run through September

 

Washington DC Salary range: $20.0 - $20.0

Where an employee or prospective employee is paid within this range will depend on, among other factors, actual ranges for current/former employees in the subject position; market considerations; budgetary considerations; tenure and standing with the company (applicable to current employees); as well as the employee’s/applicant’s background, pertinent experience, and qualifications.

 

Weber Shandwick is proud to be an Equal Opportunity/Affirmative Action employer. Weber Shandwick recruits qualified applicants without regard to race, color, religion, gender, age, ethnic or national origin, protected veteran status, physical or mental disability, sexual orientation, gender identity, marital status or citizenship status.

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Tags: APIs Computer Science Data analysis Engineering LLMs Machine Learning NLP Prompt engineering Testing

Region: North America
Country: United States

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