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Career Growth
2w (edited)
effortlesswinner
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ex -
Smarten Spaces
Need help in deciding from the following offers
I have the following offers:
1. Exl - 24 lpa fixed + 12% variable + 2 lakhs joining bonus
Position - manager
2. Infinite computer solutions - 30 lpa fixed
3. Deloitte - Still negotiating trying for 30-35 lpa
I am prioritizing long term employment as well as personal/ professional growth as I have major family responsibilities coming ahead in next year.
Please let me know your insights.
Update - Thank you for all the inputs everyone who all contributed to the discussion. I have actually made my decision, I will be joining ICS at technical lead - 37 LPA. They offered a sweet deal that is too good to resist.
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People also ask about Conduent's Data Science & Analytics Department
Is Conduent's Data Science & Analytics Department a good place to work for?
The experience of working at any company can vary based on factors like team, manager, role, company policy etc. However, with an overall rating of 3.5 out of 5 from over 338 employee reviews, it's clear that most employees have an average experience working at Conduent's Data Science & Analytics Department. Work-Life balance holds the highest rating at 3.9, while career growth is rated the lowest amongst all factors at 2.3. Read reviews about work-life balance and career growth on AmbitionBox.
Does Conduent's Data Science & Analytics Department pay their employees well?
According to AmbitionBox reviews, Conduent's Data Science & Analytics Department employees rate their salary and benefits at 2.4 out of 5, based on 338 reviews. This lower rating reflects a significant level of dissatisfaction among employees regarding compensation and benefits, suggesting that many may feel undercompensated. You can know more about Conduent's Data Science & Analytics Department salaries here and to read reviews specifically about salary and benefits at Conduent's Data Science & Analytics Department, click here.
How is the work culture at Conduent's Data Science & Analytics Department?
Work culture at Conduent's Data Science & Analytics Department is rated 3.2 out of 5 by 338 employees on AmbitionBox, indicating an average environment. Work culture encompasses aspects like collaboration, support, and overall employee satisfaction. The rating reflects that while some aspects of the work culture are satisfactory, there is room for improvement in certain areas. To read reviews specifically about work culture at Conduent's Data Science & Analytics Department, click here.
How is the job security at Conduent's Data Science & Analytics Department?
Based on 338 reviews on AmbitionBox, Conduent's Data Science & Analytics Department employees rate job security at 3.7 out of 5. This average rating suggests that while many employees feel reasonably secure in their roles, there may be some concerns or uncertainties. To read reviews about job security at Conduent's Data Science & Analytics Department, click here.
How do I get a job at Conduent's Data Science & Analytics Department?
To get a job at Conduent's Data Science & Analytics Department, start by browsing the current open positions here and apply for roles that align with your skills and interests. It’s crucial to tailor your resume and cover letter to highlight relevant experience. Additionally, research top Conduent interview questions and practice your responses to prepare thoroughly.
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Gender Based Ratings at Conduent Data Science & Analytics Department
based on 96 reviews
Rated by 19
Women
Rated by 77
Men
Working Days at Conduent Data Science & Analytics Department
based on 99 reviews
Monday to Friday
92%
Rotational Shift
4%
Monday to Saturday
3%
Other
1%
Work Timings at Conduent Data Science & Analytics Department
based on 99 reviews
Flexible timing
Strict (5.30pm - 3am)
Strict (12pm - 9.30pm)
63%
10%
5%
22% employees reported other strict timings
Shift Timings at Conduent Data Science & Analytics Department
based on 99 reviews
Day shift
Night shift
55%
45%
Business Travel at Conduent Data Science & Analytics Department
based on 99 reviews
No travel
83%
Within city
11%
International travel
3%
Within country
3%
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