Marsh is seeking a candidate for following position based out our office in Pune/Gurugram/Noida :

Senior Principal Engineer - Data Science

What can you expect?
This position is for an individual contributor in Data Science, who will develop and implement leading-edge techniques in artificial intelligence, machine learning, predictive modeling, and natural language processing as applied in commercial insurance and risk management. This position consults with senior colleagues on complex financial and statistical analyses, and develops approaches for current, market-leading tools.

Core Responsibilities:
Develops modeling approaches for implementing new, market-leading analytics-based tools to understand and address risk
Understands business problems to create an approach that starts with determining structured and unstructured data needs and availability, builds Machine Learning models, and finalizes with results that unlock insight for clients and colleagues
Demonstrates skill in advanced statistical analysis, data mining, and/or research techniques,



combined with broader awareness of the business and ongoing research, while functioning in a collaborative role with the Data Science team and across the wider organization
Stays current with ongoing research in the field and brings new approaches to the team
Serves as an internal expert resource and champion for data science within Marsh and MMC

We will count on you to:
Hands on expertise in Python and Data related packages such as pandas, numpy, matplotlib, streamlit etc.
Mine and analyze data to drive optimization and implement business strategies
Build machine learning algorithms based on the business ask
Deploy API on the platform by understanding the technical ask
Develop statistical custom data models and algorithms from scratch to enhance current value proposition and new product development
Utilize risk models related to Time Series Forecasting, Clustering, GLM/Regression, Boosting, Trees, etc.
Use advanced anal

📌 Senior Principal Engineer (India)
🏢 Marsh
📍 India