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 robust 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 clear technical documentation, model cards, operational runbooks, and user guides.
- Participate in code reviews, design reviews, and cross-team knowledge-sharing to uphold engineering best practices and security standards.
- Contribute to continuous improvement initiatives that elevate model accuracy, platform reliability, and end-user experience.

We will count on you to:

- Hands-on expertise in Python and modern engineering practices applied to SaaS platforms.
- Proven track record designing, validating, and deploying solutions in production at scale.
- Experience building reliable data and feature pipelines, ideally on Databricks.
- Ability to derive business impact from data through advanced analytics, statistical modelling, and experimentation.
- Clear,



stakeholder-focused communication and the ability to influence technical direction across geographies.

What you need to have:

- Bachelor’s degree in engineering, Computer Science, Data Science, or a related field (advanced degree preferred).
- 5+ years of experience in data science, AI research, data engineering, or software development; demonstrated senior-level ownership of data products or models.
- Expert-level Python skills and familiarity with other languages (JavaScript, SQL, XML, HTML).
- Practical experience with Databricks or similar distributed data platforms (Spark, Delta Lake), including training large models and collaborative analytics.
- Experience deploying models in SaaS/cloud environments.
- Familiarity with version control, testing, and secure software development lifecycle practices.
- Strong problem-solving mindset, attention to detail, and excellent interpersonal skills across global teams.

What makes you stand out:

- Deep domain knowledge in insurance, valuations, or risk management.
- Track record of innovation: patents, publications, open-source contributions, or successful R&D; projects.
- Strong data-visualization skills (Power BI, Excel) and ability to present technical outcomes to executive stakeholders.
- Prior experience developing or operating SaaS systems with global, multi-tenant considerations

Why join our team

- Work on high-impact projects that directly influence asset valuation and global risk decisions across Marsh’s enterprise clients.
- Opportunity to shape and deliver SaaS feature innovation at scale — from ideation through production — with meaningful ownership and technical autonomy.
- Access to large, diverse datasets and modern tooling (Databricks, cloud platforms) to explore and deploy novel approaches.
- Collaborative, inclusive culture that supports professional growth, continued learning, and opportunities to mentor and scale best practices globally.
- Competitive benefits, hybrid work flexibility, and the resources of Marsh McLennan to accelerate your impact and career.

Marsh, a business of Marsh McLennan (NYSE: MMC), is the world’s top insurance broker and risk advisor.

Marsh

McLennan is a global leader in risk, strategy, and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer,



and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow on LinkedIn and X.

Marsh McLennan is committed to embracing a diverse, inclusive, and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin colour, or any other characteristic protected by applicable law.

Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections, and professional development benefits of working together in the office.

All Marsh

McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.

Marsh (NYSE: MRSH) is a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow us on LinkedIn and X.

Marsh is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.

Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.

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📌 Senior Specialist - Data Analytics & Insight Analyst (Pune)
🏢 Marsh Risk
📍 Pune