Company:
Marsh Risk
Description:
Marsh is seeking a candidate for the following position based out of our offices in Mumbai:

Senior Specialist - Data Analytics & Insight Analyst

What can you expect?
This position is for an individual contributor in Data Science, supporting global stakeholders by developing and enhancing SaaS platform capabilities with a strong focus on model building and advanced analytics. You will lead the development, validation, deployment, and continuous improvement of data models and advanced-analytics capabilities that power our SaaS platforms for asset valuation and risk management. You will apply cutting-edge techniques in Python and other languages (JavaScript, SQL, XML, HTML), work directly with global stakeholders (including the Asset Valuation Practice), and collaborate across engineering, product, and analytics teams to deliver innovative, scalable solutions that generate measurable business value.
Core Responsibilities:
Design, develop, and productionize data models to support asset valuation, pricing, and risk analytics.
Drive data governance,



explainability, performance testing, bias/fairness checks, and reproducibility.
Build, enhance, and maintain SaaS platform features and services using Python, JavaScript, SQL, XML and HTML — focusing on modularity, scalability, observability, and secure deployment.
Leverage Databricks for data engineering, feature pipelines, large-scale model training, and collaborative analytics.
Collaborate closely with Data Science colleagues, product owners, software engineers, and international stakeholders to translate business problems into technical solutions and deliver fit-for-purpose, production-grade implementations.
Troubleshoot, optimize, and scale platform components and model performance in production environments.
Produce and maintain explicit technical documentation, model cards, operational runbooks, and user guides.
Participate in code reviews, design reviews, and cross-team knowledge-sharing

📌 Senior Specialist (Pune)
🏢 Marsh Mclennan
📍 Pune