WNS Data Science & Analytics Department Reviews

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 3.4 out of 5 from over 957 employee reviews, it's clear that most employees have an average experience working at WNS's Data Science & Analytics Department. Job Security holds the highest rating at 3.7, while career growth is rated the lowest amongst all factors at 2.7. Read reviews about job security and career growth on AmbitionBox.

According to AmbitionBox reviews, WNS's Data Science & Analytics Department employees rate their salary and benefits at 3.0 out of 5, based on 957 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 WNS's Data Science & Analytics Department salaries here and to read reviews specifically about salary and benefits at WNS's Data Science & Analytics Department, click here.

Work culture at WNS's Data Science & Analytics Department is rated 3.1 out of 5 by 957 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 WNS's Data Science & Analytics Department, click here.

Based on 957 reviews on AmbitionBox, WNS'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 WNS's Data Science & Analytics Department, click here.

According to AmbitionBox, 13% of WNS's Data Science & Analytics Departmentemployees work from home permanently, 27% work from the office, and 60% follow a hybrid model, based on 30 reviews in the last 6 months. This reflects a flexible approach to work arrangements. To read reviews specifically about work-life balance at WNS's Data Science & Analytics Department, click here.

To get a job at WNS'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 WNS interview questions and practice your responses to prepare thoroughly.