Principal Engineer - Data Science

Company:

Marsh

Description:

We are seeking a talented individual to join our Benefit Analytics 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.

Principal Engineer - Data Science

We will count on you to:

• Design and implement data analytics products that utilize web-based technologies to solve complex business problems and drive strategic outcomes.

• Utilize strong conceptual skills to explore the "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 synthesizing 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.

• Collaborate with cross-functional teams to develop and deploy machine learning models and predictive analytics solutions.

• Utilize SQL for database management and data manipulation, with a focus on optimizing queries and data retrieval processes.

• Develop ETL Automation pipelines 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 LLM/RAG/Power BI/Tableau will be preferred

 What you need to have: 

• BE/B Tech in Computer Science or Bachelor/ Master’s Degree in Maths or Statistics

• Up to 4 of progressive experience in Data Science team.  

• Hands-on exp. In Python (advance knowledge), GenAI, ChatGPT APIs, Excel(building macros, VBA) - Intermediate and good understanding of BI tools –Qlik Sense or power BI/ Tableau.

• Proficiency in extracting data from multiple data sources – Web, PDF, Excel or any database with broad working knowledge of methodologies used for analytics is required.

What makes you stand out?

• Degree or Certification in Data Management, Statistics , Analytics and BI tools (Qlik Sense & Tableau) ( would be preferred )

• Experience in Healthcare sector, working with Multination clients . 

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.

Mercer, a business of Marsh McLennan (NYSE: MMC), is a global leader in helping clients realize their investment objectives, shape the future of work and enhance health and retirement outcomes for their people. 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 mercer.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.