Paid ESG Data & Operations Intern – Copenhagen

Responsibly; København; On-site; Confidential; Full time

Benefits offered by this job

Office on Islands Brygge

Flexible work schedule

Company events

Job summary

Responsibly is recruiting an ESG operations intern to dive into sustainability data and AI automation. The role covers analyzing supplier data, ensuring accurate ESG profiles, and supporting automation of due diligence journeys.

You’ll join a fast-moving startup with a strong impact focus in Copenhagen, 40 hours per week, six-month commitment, starting October 2026. Ideal candidates have internship experience in analytics, strong English, and a passion for sustainability and AI.

Qualifications

• Practical internship experience in analytical environments and navigating complex problems.
• Desire to build a career in sustainability and AI.
• Strong data analysis skills and structured thinking.
• Ability to take ownership and solve unfamiliar problems with initiative.
• Bonus: familiarity with sustainability frameworks and basic understanding of databases.

Responsibilities

• Analyze supplier sustainability data collected through automation engines.
• Contribute to AI and automation agenda for automated due diligence journeys.
• Quality assure data in Responsibly platform to reflect supplier sustainability profiles.
• Support Data Operations team with day-to-day tasks and long-term milestones.
• Interpret sustainability certificates and assess scores per proprietary methods.

Skills

Analytical skills

SQL basics

Problem solving

Ownership

English language

Education

Business/Analytics program

Tools

SQL

Job description

Responsibly is recruiting an ESG operations intern to dive into sustainability data and AI automation. The role covers analyzing supplier data, ensuring accurate ESG profiles, and supporting automation of due diligence journeys.

You’ll join a fast-moving startup with a strong impact focus in Copenhagen, 40 hours per week, six-month commitment, starting October 2026. Ideal candidates have internship experience in analytics, strong English, and a passion for sustainability and AI.