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 effective
- .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 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 applications
- .Implement and maintain security and data protection solutions
- .Conduct code reviews and provide mentorship to junior developers
- .S

📌 Senior Manager (Gurugram)
🏢 Marsh
📍 Gurugram