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- Tasks: Explore AI-powered research and automation in a leading investment intelligence firm.
- Company: Join MSCI Institute, a global leader in investment intelligence.
- Benefits: Earn $25 – $35 per hour with a culture of innovation and high performance.
- Other info: Enjoy significant autonomy in a dynamic, research-oriented environment.
- Why this job: Make an impact by developing AI solutions that enhance research workflows.
- Qualifications: Pursuing a degree in Computer Science or related field; Python experience required.
The predicted salary is between 20 - 28 £ per hour.
The MSCI Institute is seeking a technically ambitious summer intern to explore the frontier of AI-powered research and automation within a leading global investment intelligence firm. This role sits at the intersection of applied AI, capital markets research, and enterprise tool development. You will work directly with the Institute's Research Director to identify, prototype, and evaluate opportunities where AI agents can augment and accelerate high-impact research workflows, spanning capital markets, geoeconomics, and sustainability and climate analytics.
AI Agent Development — Design, build, and test AI agents using MSCI's suite of AI tools and APIs, translating research and analytical workflows into automated, scalable solutions.
Agentification Scoping — Map existing Institute research functions and processes to identify high-value candidates for automation or AI augmentation, producing a structured inventory of opportunities with implementation recommendations.
Applied AI Research — Conduct original research on emerging AI methodologies — including multi-agent systems, retrieval-augmented generation (RAG), and LLM fine-tuning — and assess their applicability to investment and ESG research contexts.
Deliverables & presentation — Report findings and prototypes directly to the Research Director, contributing to internal publications, presentations, and strategic recommendations on AI adoption within the Institute.
Core (Required)
- Currently pursuing a degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related field
- Hands-on experience with Python and relevant ML/AI libraries
- Understanding of API integration
- Experience working with large data-sets (quantitative, qualitative and abstract)
Strong Plus
- Exposure to agentic workflows, multi-agent orchestration, or RAG architectures
- Experience with data analysis, quantitative methods, or statistical modeling
- Familiarity with financial markets, capital markets research
- Prior internship, research project, or coursework at the intersection of AI and a domain application (finance, policy, climate, etc.)
Personal Attributes
- Intellectually curious with a bias toward building and experimentation
- Ability to communicate technical findings clearly to non-technical stakeholders
- Comfortable working in an ambiguous, research-oriented environment with significant autonomy
What we offer you
- Salary range: $25 – $35 per hour
- A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results
MSCI Institute - Summer Intern employer: MSCI Inc
Contact Detail:
MSCI Inc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land MSCI Institute - Summer Intern
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at MSCI. A friendly chat can open doors that applications alone can't. Use LinkedIn to connect and don't be shy about asking for informational interviews.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to AI and data science. This is your chance to demonstrate what you can do beyond your CV. Make sure to include any relevant work with Python or ML libraries.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your understanding of AI methodologies and how they apply to capital markets. Practice explaining complex concepts in simple terms!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Tailor your application to highlight your passion for AI and research, and don’t forget to follow up after submitting to show your enthusiasm.
We think you need these skills to ace MSCI Institute - Summer Intern
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the role. Highlight any relevant projects or coursework in AI, machine learning, or data science that you've done. We want to see how you can bring your unique background to the table!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about this internship and how your interests align with MSCI's mission. Be genuine and let your passion for AI and research come through – we love to see enthusiasm!
Showcase Your Technical Skills: Since this role is all about AI and automation, make sure to mention your hands-on experience with Python and any ML/AI libraries. If you've worked with APIs or large datasets, don't forget to include those details. We’re looking for candidates who can hit the ground running!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us that you’re proactive and serious about joining our team at MSCI!
How to prepare for a job interview at MSCI Inc
✨Know Your Tech
Make sure you brush up on your Python skills and get familiar with the ML/AI libraries mentioned in the job description. Be ready to discuss any projects you've worked on that involved these technologies, as they’ll want to see your hands-on experience.
✨Understand the Role
Dive deep into what the MSCI Institute does, especially around AI-powered research and capital markets. Familiarise yourself with concepts like agentic workflows and RAG architectures so you can speak confidently about how your skills align with their needs.
✨Prepare for Problem-Solving
Expect to tackle some real-world problems during the interview. Think of examples where you've identified opportunities for automation or improved processes in your past work or studies. This will show your ability to think critically and apply your knowledge practically.
✨Communicate Clearly
Since you'll be reporting findings to the Research Director, practice explaining complex technical concepts in simple terms. Prepare to demonstrate how you can bridge the gap between technical and non-technical stakeholders, as this is crucial for the role.