Company: Marsh

Description:
Role - Senior Principal Engineer - Data Science
No of roles - 1
Location - Mumbai

We are seeking a talented individual to join our Global commercial Insights & 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.

Job Title: SeniorPrincipal Engineer - Data Science

We will count on you to:
- Collaborate with international stakeholders to align analyses with business objectives.
- Manage large, complex datasets and implement process improvements for scalability and automation.
- Use Python for data gathering, analysis, and modeling to derive actionable insights.
- Demonstrate solid database management skills, writing intermediate to complex SQL queries.
- Work on prescriptive analysis using Data Science techniques to forecast sales and opportunities.
- Utilize data visualization techniques to clearly communicate insights.
- Design and implement AI workflows and API integrations to solve business problems.




- Manage multiple projects under tight deadlines, demonstrating effective prioritization and time management.
- Communicate complex information clearly and concisely to diverse audiences, both verbally and in writing.

What you need to have:
- Minimum 12 months experience as Principal Engineer - Data Science (C2) / Senior Principal Engineer - Data Science (D1)
- Should have at least “On-Track” or equivalent rating in last appraisal.
- Should not be under any Performance Counselling Plan or had any official disciplinary action within the last 3 months.
- Should not have applied for any other IJP in the last 3 months.
- Bachelor’s degree in engineering, Analytics, or a related field, or a Master's degree in Statistics, Computer Applications, IT, Business Analytics, or any discipline.- Strong technical expertise with building data models, data mining, and segmentation techniques using Python/ R
- Familiarity with big data technologies a

📌 Ijp - Senior Principal Engineer - Data Science (Mumbai)
🏢 Marsh
📍 Mumbai