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

We will count on you to
: Identify opportunities which add value to the business and make the process more efficient . 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 decision s 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 productive, 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 applications . Implement and maintain security and data protection solutions . Conduct code reviews and provide mentorship to junior developers . Stay up-to-date wi

📌 Senior Manager (Gurugram)
🏢 Marsh
📍 Gurugram