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Quantis

Sustainability Consulting Intern

Quantis

. Support consultants in delivering technical projects through accurate, high-quality analyses .

Posted 10/28/2026internshipParis • FranceEntry LevelWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates strong analytical capabilities and a science-based mindset, with expertise in Life Cycle Assessment (LCA) and data management. Proficient in preparing reports and presentations that effectively communicate insights and recommendations for sustainability challenges.

Highest-signal resume keywords
Life Cycle Assessment (LCA)Data ManagementAnalytical SkillsMS ExcelMS PowerPoint

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Quantitative AnalysisQualitative AnalysisClimate Impact Reduction ModellingCorporate FootprintingProduct Footprinting
Soft Skills
Communication SkillsCuriosityCollaboration
Tools & Technologies
Generative AI Tools
Industry Keywords
SustainabilityEnvironmental EngineeringAgricultural SciencesData Interpretation

About the role

Key responsibilities & impact
  • Support consultants in delivering technical projects through accurate, high-quality analyses
  • Conduct quantitative and qualitative analyses, including life cycle assessments (LCA), corporate and product footprinting, and climate impact reduction scenario modelling
  • Collaborate with project teams to explore solutions and develop recommendations for clients’ sustainability challenges
  • Contribute to the development and maintenance of databases
  • Help prepare clear and engaging reports and presentations communicating analyses, results, and insights to clients
  • Learn from experienced colleagues and develop technical, analytical, and consulting skills

Requirements

What you’ll need
  • Currently completing or recently completed a Master’s degree in sustainability, environmental engineering, chemistry, agricultural sciences, or another relevant field
  • Science-based mindset and strong analytical skills
  • Interest in technical analysis, data management, and Life Cycle Assessment (LCA)
  • Comfortable working with data, interpreting results, and communicating findings clearly
  • Very good knowledge of MS Excel and PowerPoint
  • Curious about generative AI tools and interested in using them thoughtfully and critically
  • Fluent in French and English

Benefits

Comp & perks
  • Collaborative, international team environment
  • Opportunities to learn from experienced colleagues
  • Technical expertise and consulting skills development
  • Diversity and inclusion culture
  • Mental wellbeing support
  • Opportunities open to all