Sustainability Science Intern (Summer 2026)

WorldlyConcord, CA
1dRemote

About The Position

Worldly is seeking a Sustainability Science Intern to support the documentation, analysis, and improvement of Worldly’s social assessment data and related insights during a 10-week summer internship. This role will focus on building a clearer internal understanding of how Worldly’s hosted social assessment results are structured and interpreted, validating differences across assessment versions, and identifying opportunities to improve how this information is communicated to users. The ideal candidate is detail-oriented, comfortable working with complex data, and enjoys translating technical findings into clear documentation and practical recommendations. This internship provides hands-on experience for someone who can work independently, navigate ambiguity, and collaborate across teams to improve the quality and usability of sustainability content.

Requirements

  • Current student or recent graduate in Sustainability, Environmental Studies, Data Science, Public Policy, or a related field
  • Strong attention to detail and interest in understanding how data is structured and interpreted end-to-end
  • Comfort working with complex or messy information and translating it into clear documentation
  • Analytical mindset and willingness to investigate the “why” behind results
  • Strong written communication skills (this internship has a major documentation component)
  • Ability to work independently and manage deliverables over a 10-week internship

Nice To Haves

  • Familiarity with SQL, spreadsheets, or data analysis tools
  • Exposure to social compliance programs, audits, or assessment-based sustainability work
  • Experience summarizing technical findings for non-technical audiences

Responsibilities

  • Documenting how Worldly’s social assessment data is structured, including how versions, fields, and outputs are organized and interpreted
  • Creating internal documentation that explains how to read and interpret assessment results for both technical and non-technical stakeholders
  • Comparing assessment results across versions to identify meaningful structural or methodology-related differences
  • Supporting data validation and quality review by tracing outputs back to underlying source structures and logic
  • Reviewing existing user-facing assessment insights and evaluating usefulness, clarity, and gaps based on internal feedback
  • Delivering recommendations to improve how assessment insights are communicated (e.g., clearer explanations, better framing, more actionable interpretation guidance)
  • Collaborating with the Product team to ensure documentation and recommendations align with real user needs
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