Description
Job description / Role
Job Type
Full Time
Job Location
Dubai, UAE
Nationality
Any Nationality
Salary
Not Specified
Gender
Not Specified
Arabic Fluency
Not Specified
Job Function
Finance, Business Analysis & Consulting
Company Industry
Insurance
Company description
Marsh is the world's leading insurance broker and risk advisor. We protect and promote possibility—helping clients dream bigger, reach further, and plan for the opportunities ahead. We bring solutions that help our clients manage risk, grow, and succeed.
The opportunity
Marsh is seeking a summer intern (AI, data science) to join a fast-paced, innovation-focused team working on real business challenges across a global organization. This internship offers hands-on exposure to AI products and practical data science initiatives, with opportunities to build prototypes, support pilots, and help enable colleagues through training and materials.
What you can expect
Hands-on involvement in enhancing and transforming processes and business operations within the largest insurance broker in the world.
An open work culture with a strong emphasis on innovation, collaboration, and solving business problems.
Exposure to international businesses and collaboration with colleagues across geographies.
An energetic, entrepreneurial team environment with experience across data science, visualization, and descriptive analytics.
Key responsibilities (what we will count on you for)
Demonstrate strong problem-solving capability by understanding business requirements and exploring multiple solution approaches to deliver the desired outcome.
Gain expertise in Marsh AI products and support adoption by:
Delivering trainings to colleagues
Customizing tools and workflows using LLM-based solutions where applicable
Develop prototypes, proof-of-concepts, and pilot programs for high-priority opportunities.
Develop and deliver engaging short training sessions on AI fundamentals tailored to different audiences.
Create accessible training materials, including presentations, videos, guides, and reference documents.
Provide regular reporting on project status, deliverables, and stakeholder communications.
Support pilot implementations of selected AI solutions, monitoring progress and gathering feedback.
Participate in problem-solving sessions to help remove obstacles and address challenges as they arise.
Maintain a high level of attention to detail in deliverables and documentation.
What you need to have (required)
Familiarity with AI / machine learning concepts and applications.
Basic data analysis experience and comfort working with Excel (or similar analytical tools).
Experience with business intelligence and/or data visualization tools.
Intermediate capability in building tools in Python, leveraging available AI models where appropriate.
Proficiency in MS Office (Excel, PowerPoint, Word).
Strong communication skills; an outgoing, collaborative personality with a willingness to learn and contribute.
Preferred qualifications
Currently enrolled in or recently completed an undergraduate or graduate/master's degree in:
Computer science, business, engineering, data science, information systems, business analytics, or a related field.
Why Marsh
You'll gain practical experience applying AI and data science to real business challenges, work alongside knowledgeable colleagues across regions, and build skills in solution development, stakeholder collaboration, and enablement through training—while contributing to meaningful innovation initiatives.
About Marsh
Marsh Risk is a business of Marsh, 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.
Diversity and inclusion
Marsh is committed to embracing 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, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, skin color, or any other characteristic protected by applicable law.
Work environment
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.
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