Intern, AI Research and Development

Location: Singapore - Marina View

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.