IJP - Senior Principal Engineer - Data Science

Company:Marsh

Description:

Role - Senior Principal Engineer - Data Science
No of roles - 1
Location - Mumbai
Last date to apply - 29th July 2026

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: Senior Principal 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 strong 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.

• 3-5 years of progressive experience mining large complex data sets, using a variety of advanced quantitative/modelling techniques Strong knowledge of statistical concepts and their application in data analysis.

• Strong technical expertise with building data models, data mining, and segmentation techniques using Python/ R

• Familiarity with big data technologies and cloud platforms is a plus.

• Excellent problem-solving and critical-thinking skills

• Synthesis skills- Ability to connect the dots and answer the business question.

• Ability to work independently and collaboratively in a fast-paced environment.

Disclaimer:-

• Please note that the relocation assistance shall not be provided for the said position

• Candidates who wish to apply for inter-location positions are required to check with the Transport Help Desk (THD) to confirm if their place of residence is within the served transport service zone

• Mention your employee id and official email address in the resume

What makes you stand out?

• 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.

Mercer is a business of Marsh (NYSE: MRSH), 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 about Mercer, visit mercer.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.