Consultant· MumbaiCurrent employee5.0/5
Great pay and good opportunities
Pros: Good opportunities, good people, great pay
Cons: Growth on paper is relatively slower
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Oliver Wyman
Business consulting · 5001 to 10000 Employees · New York, US
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Oliver Wyman is a management consulting firm driven by deep industry insight, bold innovation, and a collaborative approach that cuts through complexity to help organizations navigate their most defining transformative moments. Oliver Wyman is a business of Marsh (NYSE: MRSH) — formerly Marsh McLennan — a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow us on LinkedIn and X. Learn more about how we're evolving and building a new, expanded Marsh brand to represent all of our capabilities: https://www.marshmclennan.com/news-events/2025/october/marshmclennan-and-its-businesses-will-brand-as-marsh.html
Office locations
Chicago, IL, United StatesKansas City, MO, United StatesNew York, NY, United StatesWashington, DC, United StatesDallas, TX, United StatesHouston, TX, United StatesColumbus, OH, United StatesLos Angeles, CA, United StatesSan Francisco, CA, United StatesHartford, CT, United StatesMexico Beach, FL, United StatesBoston, MA, United States
1
Open roles tracked
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Posted last 7 days
1
Posted last 30 days
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Culture signals
- Work-life balance 2.9
- Compensation 4.2
- Culture 3.9
What employees say
+ Good opportunities, good people, great pay
− Growth on paper is relatively slower
Employee voices
Recent Glassdoor reviews · 2,844 total
HC Assistant· MumbaiCurrent employee4.0/5
Great team and work-life balance, but hybrid culture struggles
Pros: Work life balance and great team
Cons: Has hybrid culture - 3 days a week
View on GlassdoorSenior Associate· MumbaiCurrent employee4.0/5
Great work-life balance, but long hours
Pros: WLB is good but range of topics is limited
Cons: Long hours and constant flux of leadership
View on GlassdoorAssociate· Gurgaon, HaryanaCurrent employee4.0/5
Great pay and free food, but long hours
Pros: Pay benefits and the free food
Cons: Work life balance and long hours
View on GlassdoorConsultant· MumbaiFormer employee2.0/5
Good firm globally
Pros: Great insurance and overall perks
Cons: Poor culture, leadership clueless, too much politics
View on GlassdoorCompany review data sourced from Glassdoor.
Compensation benchmarks
Glassdoor salary estimates for top hiring roles · 6,179 salary reports on Glassdoor
| Role | Location | Median | Range (LPA) | Reports |
|---|---|---|---|---|
| Engineering | India | — | — – — | — |
Salary benchmarks are estimates from Glassdoor and may differ from individual job listings.
Interview experiences
India-scoped Glassdoor interview reports · 16 total · avg difficulty 3.3/5 · 14 questions indexed
Data Scientist Intern· Gurgaon, HaryanaAverageaccept offer
Technical Round - 3 stages of 30 min each over zoom call HR round. The interviewer was really chill and was giving time to go about the questions properly. Not much difficult
Senior Data Scientist· Gurgaon, HaryanaVery_difficultno offer
The process was straight forward interviewer was impressed and still rejected me. They asked my experience and some technical questions later switched to case study. The interview was tough as no direct feedback was given neither the interviewer discuss anything
Data Scientist· IndiaEasyno offer
Three rounds Round 1: basic ml resume and case studies related to ml (how to get features, pre processing, training,testing) Round 2: pure case study (would advise do iim case books for each type of case and structure) and in some cases can expect guesstimates Round 3: mostly HR oriented
Sample questions
- Assumption of logistics regression Random forest random tree etc
Associate Consultant· MumbaiAverageno offer
The interviewer was from middle east asking me to solve a revenue case. I asked him for some benchmarks since I was unaware of the middle east landscape but he said I rather make my own assumptions. Felt a bit less interviewer driven.
Sample questions
- To make an assumption of the cost of clearing dump in Jordan.
Senior Data Scientist· IndiaAverageno offer
Unnecessary lengthy interview process Took 5 rounds round 1 - with HR (behavioural fit) round 2 - with Lead Data Scientist (FAQ technical data science questions, project) round 3 - Take home assignment for credit risk modelling + discussion of the assignment round 4 - credit risk case study discussion round 5 - partner round (project + puzzle) I reached till round 5, and I answered well and was able to solve the puzzle. But they somehow mentioned that i was not able to narrate properly and needed help in puzzle. Absolutely waste of efforts !!.
Sample questions
- round 1 - why do you want to change the job? round 2 - SQL queries (CTEs + window functions medium level) + basic data science questions + project round 3 - credit risk modelling take home assignment + technical discussion round 4 - credit risk case study discussion round 5 - absolutely useless round (and they rejected me for no reason here after doing well throughout the process) Whole process took 2-3 months which is unnecessarily long
Questions reported by interview candidates on Glassdoor; edited for clarity. Not guaranteed to match your exact interview.
Top hiring roles: Engineering
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