Senior Principal Engineer – Data Science

Company:

Description:

Marsh McLennan Global Services India Private Limited (MMGS) is seeking candidates for the following position based in the Mumbai, India office:

Senior Principal Engineer – Data Science

We will count on you to:

• Design and implement data analytics products to solve complex business problems and drive strategic outcomes.
• Utilize strong conceptual skills to explore “Art of the Possible" in analytics, integrating data, market trends, and cutting-edge technologies to inform business strategies.
• Manage and manipulate large datasets from diverse sources, ensuring data quality through cleaning, consolidation, and transformation into meaningful insights.
• Conduct exploratory data analysis (EDA) to identify patterns and trends, reporting key metrics and synthesize disparate datasets for comprehensive insights.
• Perform rigorous quality assurance (QA) on datasets, ensuring accuracy, logical consistency, and alignment with analytical dashboards.
• Automate data capture processes from various sources, streamlining data cleaning and insight generation workflows.
• Apply knowledge of insurance claims, policies, terminologies, health risks, and wellbeing to enhance analytical models and insights.
• Develop Automation Solution for generating reports using tools such as Python, GenAI and ChatGPT APIs ensuring efficient and optimized code.
• Communicate complex data-driven solutions clearly and effectively, translating technical findings into actionable business recommendations.
• Having knowledge around Power BI/LLM/RAG will be preferred

What you need to have: 

• Bachelor’s degree in engineering / Analytics or Master’s Degree in Statistics/Computer Applications/ IT/Analytics /any discipline related to Data visualization / Analytics.
• 2-5 years of progressive experience in Data Science
• Hands-on exp. in Python (advance knowledge), GenAI, Excel - Intermediate and good understanding of BI tools –Power BI
• Technical expertise with data models, data mining, and segmentation techniques
• Strong consulting experience and stakeholder management
• Basic to intermediate visualization experience in Power BI
• Excellent with data understanding, transformation and EDA
• Keenness and urgency to learn about the Marsh and the business unit’s business, and insurance industry in general

What makes you stand out?

• Should have an aspiration to learn and grow.
• Strong communication skills with an ability to work in a team.
• Should be able to work as a Team-player and adopt changes without hesitation.
• A commercial sense to apply proportionality to the depth of analytics used versus desired output.
• Ability to take initiatives to strive for improvement in analytics techniques, process and output.

Why join our team:

• We help you be your best through professional development opportunities, interesting work and supportive leaders.
• We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities.
• Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.

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 color, 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.