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IJP - Senior Manager - Data Science (Gurugram)

Marsh Mclennan · Gurugram

📅 19/08/2026
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COMPANY: Marsh DESCRIPTION: We are seeking a talented individual to join our Data Science team at Marsh. This role will be based in Mumbai. This is a hybrid role that has a requirement of working at least three days a week in the office. Role: Senior Manager - Data Science Location : Mumbai Number of Roles : 1 Last Date to Apply : 16th June 26 We will count on you to: * Identify opportunities which add value to the business and make the process more productive. * Have the ability to work with colleagues and stakeholders across levels, understand business objectives and make sure all analysis and findings are aligned to those business objectives. * Invest in understand the core business including products, process, documents, and data points with the objective of identifying efficiency and value addition opportunities. * Gather, analyze, and model data using analytical tools and techniques to develop business insights to drive decisions * Design, develop, and maintain robust data pipelines for extracting, transforming, and loading (ETL) data from diverse sources. * Automate data extraction, transformation, and loading (ETL) from various sources, including PDFs and APIs. * As the operational scales up design and implement scalable data storage solutions and integrate them with existing systems. * Develop scripts and applications to extract and process data from PDF documents using Python. * Collaborate with data scientists and analysts to optimize data workflows and improve data accessibility. * Write efficient, reusable, and testable code to support data processing needs. * Utilize cloud platforms (AWS, Azure, Google Cloud) for data storage and processing. * Perform data extraction from multiple data sources and ensure data integrity and accuracy. * Utilize AI/ML models and tools, including Large Language Models (LLM) and Generative AI, to enhance data processing capabilities. * Design scalable and reliable system architectures to support data-intensive appli .
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