Sustainability Research Intern @ MSCI Inc.
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Sustainability Research Intern at MSCI Inc.
MSCI Sustainability Research provides global standards for sustainability-related signals, data, and insights. The team offers in-depth research, ratings, and analysis of environmental, social, and governance practices across thousands of companies worldwide.
Team Responsibilities
The role leverages data science to support ESG Ratings for companies by providing actionable insights using AI and innovative analytical models. The team collaborates with analysts across multiple locations to integrate AI-driven tools into sustainability research.
Your Key Responsibilities
- Collaborate with diverse teams to integrate AI in ESG Ratings.
- Utilize Python, NLP, and LLM for deep-dive analyses.
- Develop and enhance analytical models for actionable insights.
- Contribute to publications on industry trends and sustainability themes.
- Work within a global team to continuously improve research frameworks.
Your Skills And Experience
Applicants should have experience in data mining, modeling, coding, and a strong interest in sustainability research. Proficiency in Python and experience with AI solutions and natural language processing techniques are essential. Being self-motivated and resourceful in a fast-paced global team will help you excel in this role.
What We Offer
- Transparent compensation and comprehensive employee benefits.
- Flexible working arrangements and advanced technology access.
- A culture of performance, innovation, and accountability.
- Access to global networks and continuous professional development.
- A supportive environment that emphasizes inclusion and connection.
Key skills/competency
- ESG
- Data Science
- Python
- AI
- NLP
- LLM
- Research
- Analytics
- Collaboration
- Sustainability
How to Get Hired at MSCI Inc.
🎯 Tips for Getting Hired
- Research MSCI Inc.'s culture: Study their mission, values, and recent news.
- Customize your resume: Emphasize AI, Python, and data science projects.
- Highlight sustainability skills: Showcase ESG and research experience.
- Prepare for interviews: Review data modeling and analytical problem-solving.
- Network with current employees: Connect on LinkedIn for insights.