I am currently interning at Marsh as a Data Science and Artificial Intelligence intern, and honestly, the journey from receiving the interview call to sitting at my desk on the first day already felt like an education in itself. The interview process pushed me to think critically, articulate my technical knowledge clearly, and present myself with confidence — skills I had been building at SP Jain Global but had never truly stress-tested until that moment. Walking into the Marsh office for the first time, I remember feeling both excited and grounded, knowing that the preparation I had put in over the past year had led me here.
Marsh, a subsidiary of Marsh McLennan, ranks 168th on the Fortune 500 list of the largest United States corporations by revenue — and the moment you step into that environment, you understand why. The scale of operations, the caliber of people you interact with daily, and the quality of conversations you are part of give you a perspective that no textbook can replicate. It is one thing to study enterprise systems and large-scale decision-making in a classroom; it is another to see it functioning in real time, with real stakes. Every interaction, whether with a senior colleague or someone newer to the team, has added something meaningful to how I think about business problems and technology.
My work at Marsh sits at the intersection of data science and practical AI deployment. I have been involved in building internal tools — specifically focused RAG (Retrieval-Augmented Generation) systems and agentic workflows designed to make internal processes smarter and more efficient. This is not just theoretical AI work. It involves understanding what the end-user actually needs, designing pipelines that are reliable and contextually aware, and iterating quickly based on feedback. The experience has sharpened my ability to translate complex technical concepts into solutions that genuinely serve the people using them, which I think is one of the most underrated skills in this field.
None of this would have been possible without the guidance I received while pursuing BDS at SP Jain Global. Prof Abhijit Dasgupta (Director – Bachelor of Data Science) in particular has been instrumental — not just in building my technical foundation, but in shaping how I approach problems and carry myself professionally. The mentorship I received from him and the faculty has given me a framework for thinking that I find myself applying every single day at work. Whether it is structuring an analysis, communicating findings to non-technical stakeholders, or simply staying composed under pressure, the lessons from Sydney campus have shown up in ways I did not expect.
What I appreciate most about this internship is that it is still ongoing. There is more to learn, more to build, and more to contribute. I am still in the middle of this experience, and that excites me. Every week brings a new challenge or a new conversation that shifts how I see something. I think that is the mark of a great internship — not one where you feel like you have figured everything out, but one where curiosity stays alive throughout.
To the BDS students at SP Jain Global who are navigating placement season or thinking about what kind of experience they want — pursue environments where the learning does not stop. The size of the organisation matters less than whether you are genuinely challenged and surrounded by people who push you to grow. For me, Marsh has been exactly that, and I am grateful for every part of this journey so far.
Aaryaveer Katoch is a Bachelor of Data Science student (intake of 2024), currently located in Sydney, Australia.
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