Intern, AI Research and Development

Marsh McLennan is hiring an Intern, AI Research and Development in Singapore, Singapore. Level rates it ; you can apply on Marsh McLennan.

Level's read on this job

Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
The posting mentions RAG, computer vision and NLP among its tools and skills.
Level classes it as an internship.
Marsh McLennan has 659 other open roles on Level.
Posted in the last few days.

AI in this role

ragcomputer-visionnlpai-research

Company:

Description:

We are seeking a talented individual to join our Asia Digital team, part of our risk business at Marsh. This role will be based in Singapore. This is a hybrid role that has a requirement of working at least three days a week in the office.

The Intern, AI Research and Development will conduct deep research analysis and develop AI solutions to integrate within the Marsh risk landscape. You will partner with business and technology teams to understand complex problems, identify prerequisites, and develop customized prototype solutions. This role offers hands-on experience in designing and implementing technical solutions for emerging AI use cases.

We will count on you to:

Conduct research and analysis on emerging AI technologies, such as generative AI, virtual assistants, data extraction, and predictive analytics, for automation, analytics, and intelligent assistant use cases.
Partner with business and tech teams to understand the problem, identify prerequisites, and develop customized prototype solutions tailored to the use case.
Design and implement technical solutions (proof of concept/minimum viable product) for specific AI use cases, utilizing provided infrastructure and resources.
Document the technical approach and considerations for scaling the implemented solutions.

What you need to have:

Currently pursuing or completing graduation/post-graduation in Computer Science, Information Technology, Software Engineering, AI, Data Science, or related fields.
Knowledge of AI concepts, algorithms, and tools in data extraction technologies (RPA, OCR, NLP, computer vision), generative AI (Large Language Models, Agentic), virtual assistants, or data science and ML algorithms (Python, R, other data science tools).
Strong attitude, analytical skills, problem-solving ability, curiosity, and eagerness to learn.
Able to commit at least 3 to 6 months; part-time interns are welcome.

What makes you stand out?

Experience in full-stack development (Python, RAG, React, Node.js, Java, Spring Boot, MongoDB, FastAPI, etc.).
Exposure to academic and/or research projects demonstrating full-stack AI development.
Familiarity with UX design principles and prototyping tools (e.g., Figma, Canva).

Why join our team:

We help you be your best through professional development opportunities, interesting work and supportive leaders.
We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities.
Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.
Our scale enables us to provide a range of career opportunities, access to mentorship, and formal training to develop your skills and facilitate your career growth.

Marsh (NYSE: MRSH) is a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow us on LinkedIn and X.

Marsh is committed to providing an inclusive work environment. We aim to attract and retain the best, most qualified people and value colleagues of all backgrounds, without regard to age, background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.

Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.

How we rate this

Intern, AI Research and Development at Marsh McLennan rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Intern, AI Research and Development is an open job at Marsh McLennan.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in Singapore - Marina View.
The job was posted on November 12, 2026.
Seniority: intern.
Applications are handled by Marsh McLennan. Apply on Marsh McLennan

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGComputer visionNLPAI Research

Questions you could be asked

How would you design a retrieval step so the model answers from real data instead of guessing?
Walk me through a computer vision problem you solved, from raw data to a deployed model.
What NLP problem have you worked on, and how did you measure whether it actually worked?
Tell me about a research question you investigated. What did you find?
Describe a typical day in a role like this one: which parts run through AI directly?

Adapt your resume

List these exact terms on your resume: RAG, Computer vision, NLP, and AI Research. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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