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Hello folks..I got an offer from IBM ISL (Software Labs) Pune. Can you please help me to know wlb, culture, people, job security, technologies at IBM ISL pune? My profile is Java, springboot, microservices, docker,k8, cloud.
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People also ask about IBM's Data Science & Analytics Department
Is IBM'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 4.1 out of 5 from over 3.3k employee reviews, it's clear that most employees have a positive experience working at IBM's Data Science & Analytics Department. Work-Life balance holds the highest rating at 4.2, while career growth is rated the lowest amongst all factors at 3.3. Read reviews about work-life balance and career growth on AmbitionBox.
Does IBM's Data Science & Analytics Department pay their employees well?
According to AmbitionBox reviews, IBM's Data Science & Analytics Department employees rate their salary and benefits at 3.6 out of 5, based on 3.3k reviews. The rating reflects an average level of satisfaction among employees regarding compensation and benefits, indicating that while employees find the compensation and benefits acceptable, there is room for improvement in these areas. You can know more about IBM's Data Science & Analytics Department salaries here and to read reviews specifically about salary and benefits at IBM's Data Science & Analytics Department, click here.
How is the work culture at IBM's Data Science & Analytics Department?
Work culture at IBM's Data Science & Analytics Department is rated 4.0 out of 5 by 3.3k employees on AmbitionBox, indicating a generally positive environment. Work culture encompasses aspects like collaboration, support, and overall employee satisfaction. The strong rating reflects a supportive and engaging atmosphere at IBM's Data Science & Analytics Department. To read reviews specifically about work culture at IBM's Data Science & Analytics Department, click here.
How is the job security at IBM's Data Science & Analytics Department?
Based on 3.3k reviews on AmbitionBox, IBM's Data Science & Analytics Department employees rate job security at 4.0 out of 5. This high rating reflects strong employee confidence in the stability and security of their roles at IBM's Data Science & Analytics Department, indicating that most employees feel secure in their positions and trust the company to provide a reliable work environment. To read reviews about job security at IBM's Data Science & Analytics Department, click here.
Is work from home available at IBM's Data Science & Analytics Department?
According to AmbitionBox, 10% of IBM's Data Science & Analytics Departmentemployees work from home permanently, 16% work from the office, and 74% follow a hybrid model, based on 63 reviews in the last 6 months. This reflects a flexible approach to work arrangements. To read reviews specifically about work-life balance at IBM's Data Science & Analytics Department, click here.
How do I get a job at IBM's Data Science & Analytics Department?
To get a job at IBM'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 IBM interview questions and practice your responses to prepare thoroughly.
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Work Policy at IBM Data Science & Analytics Department
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Workplace policy may vary based on Department, Designation and
Location.
based on 63 reviews in last 6 months
Hybrid
74%
3 days/week from office
54%
2 days/week from office
11%
Other hybrid work policies
9%
Work from office
16%
Permanent work from home
10%
Gender Based Ratings at IBM Data Science & Analytics Department
based on 627 reviews
Rated by 202
Women
Rated by 425
Men
Working Days at IBM Data Science & Analytics Department
based on 653 reviews
Monday to Friday
91%
Rotational Shift
4%
Monday to Saturday
3%
Other
2%
Work Timings at IBM Data Science & Analytics Department
based on 653 reviews
Flexible timing
Strict (9am - 6pm)
Strict (5.30pm - 2.30am)
82%
3%
1%
14% employees reported other strict timings
Shift Timings at IBM Data Science & Analytics Department
based on 653 reviews
Day shift
Night shift
87%
13%
Business Travel at IBM Data Science & Analytics Department
based on 653 reviews
No travel
71%
Within city
16%
International travel
7%
Within country
6%
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