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Mu Sigma
based on 908 Reviews
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Full Time
Data Science & Machine Learning Department
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Cab facility
Everything , very toxic culture
Work days: Monday to Friday (Strict Timings)
Full Time
Data Science & Machine Learning Department
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Learning Curve
Work life balance
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Full Time
Data Science & Machine Learning Department
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Work-Life Balance
Steep learning curve
Work life balance is missing.
Work days: Monday to Friday (Strict Timings)
Work related travel: This is a desk job.
Information Technology Department
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Very good learning and exposure. Good Training
Nothing much. Like the ecosystem of learning
Work days: Monday to Saturday (Flexible Timings)
Work related travel: This is a desk job.
Top trending discussions
Full Time
Data Science & Machine Learning Department
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Client Exposure
No WFH, WLB Less Travel benefits
Work days: Monday to Friday (Strict Timings)
Work related travel: This is a desk job.
Full Time
Data Science & Machine Learning Department
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Good exposure in data science
No work life balance and toxic work culture
Work days: Monday to Friday (Strict Timings)
Work related travel: This is a desk job.
Full Time
Business Intelligence & Analytics Department
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Learning will be gud depends on the project.
No. Of projects has been reduced and people are looking for new projects which leds to lack of job security.
Work days: Monday to Friday (Strict Timings)
Full Time
Data Science & Machine Learning Department
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Steep learning curve Direct interaction with clients Opportunity to work on different technologies
Work life balance Upper management
Work days: Monday to Friday (Strict Timings)
Full Time
Business Intelligence & Analytics Department
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Business + tech
Layoffs and no work from home
Work days: Monday to Friday (Strict Timings)
Work related travel: This is a desk job.
Full Time
Data Science & Machine Learning Department
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Lots of opportunities to do and learn new things
No work life balance
Work days: Monday to Friday (Strict Timings)
Work related travel: This is a desk job.
Full Time
Data Science & Machine Learning Department
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Learning curve for new joiners
Culture and 0% employee friendly
Work days: Monday to Friday (Strict Timings)
Full Time
Data Science & Machine Learning Department
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Learning opportunities
There is no work life balance
Work days: Monday to Friday (Strict Timings)
Work related travel: This job involves Travel Within City.
Full Time
Business Intelligence & Analytics Department
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Nothing
Everything, the prople the culture
Full Time
Business Intelligence & Analytics Department
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Hustling culture and get chance to work on something innovative if you are lucky.
Company policies for employees are the worst.
Full Time
Other Department
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It was a first corporate experience, a young average age of 23 just means a family like feeling of we are in this together feeling.
It's 'place' or 'company' over 'people' approach from top guys. Loyalty probably won't be valued with you more likely however long you are part of the journey.
Work days: Monday to Friday (Strict Timings)
Work related travel: This is a desk job.
Full Time
Business Intelligence & Analytics Department
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- Non tenurebound opportunities - Cross industry exposure and expertise building
- Poor policies - Bad politics - Very poor transparency across the board - Questionable Business practices in the name of 'Jugaad' [Mu Sigma is blacklisted in US for H1B applications] - Leaders in Key roles with no vision wrt to Business Unit growth and management - You will feel very secluded and isolated in the workplace if you'renot your manager's favorite - Managers have too much power and can unilaterally ruin your career in the company...Read More
Work days: Monday to Friday (Flexible Timings)
Work related travel: This job involves Travel Within City.
Full Time
Data Science & Machine Learning Department
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Get to learn lot of things.
It’s poorly managed and there is no job security even though they have terrible bond of 4 years. It just depends on them when to fire. Perks are almost nothing. Timings are fixed. No diwali bonus. Lot of work to be done with less resources.
Work days: Monday to Friday (Strict Timings)
Work related travel: This is a desk job.
Full Time
Data Science & Machine Learning Department
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Teaches a lot to the homegrown talent
No work life balance, no job security, egoistic seniors who give work without context and if unable to do the work, make you feel little even though it’s their fault.
Work days: Monday to Friday (Strict Timings)
Work related travel: This is a desk job.
Full Time
Data Science & Machine Learning Department
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Mu Sigma offers a steep learning curve, exposing employees to a variety of business problems and enabling end-to-end project management. The company provides early exposure to stakeholder management and client communication, which is invaluable for career growth. This hands-on experience and responsibility early in one’s career are significant benefits.
The work-life balance at Mu Sigma is poor, with frequent overnight work and strict deadlines. Employees often have to handle multiple high-priority tasks simultaneously, leading to a high stress environment. Additionally, the compensation is not upto industry standards, which can be demotivating despite the valuable experience gained.
Work days: Monday to Friday (Flexible Timings)
Work related travel: This is a desk job.
Full Time
DevOps Department
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Will get to work on cutting edge technologies if you managed to end in a fast paced project. Plus there's a lot of learning for freshers.
No work life balance if you are involved in a fast paced project
Work days: Monday to Friday (Strict Timings)
Work related travel: This is a desk job.
Full Time
Business Intelligence & Analytics Department
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Very High Learning curve.
No work life balance and flexibility
Full Time
Data Science & Machine Learning Department
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Constant learning
Poor work life balance and lack of job security. Very toxic work culture
Full Time
Data Science & Machine Learning Department
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Learning scope is high
No job security No work life balance
Full Time
Business Intelligence & Analytics Department
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Learning curve
No perks in this company. Very less number of leaves.
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