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
sDesign, 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 with the latest tec

📌 Senior Manager (Gurugram)
🏢 Marsh
📍 Gurugram