Intern - AI Research and Development

Company:

Marsh Risk

Description:

We are seeking a talented individual to join our Asia Digital team at Marsh Risk as an Intern, AI Research and Development. 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.

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).

• Familiarity with UX design principles and prototyping tools (e.g., Figma, Canva).

• Strong attitude, analytical skills, problem-solving ability, curiosity, and eagerness to learn.

• Collaborative mindset with the ability to work independently. High adaptability, detail-oriented, compliant, and process-driven.

• 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.

Why join our team:

• We help you be your best through professional development opportunities, interesting work with practical experience in AI research and development 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.

• The chance to work with multicultural colleagues across the region, enhancing your global perspective and collaboration skills.

• 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 Risk is a business of Marsh (NYSE: MRSH), 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 about Marsh Risk, visit marsh.com, or follow us on LinkedIn and X.

Marsh is committed to creating a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of 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.