Assistant Manager - WTS
WNS is seeking an Assistant Manager to join their team focused on intelligent operations and transformation. The role involves implementing web applications using Python and Django while managing project requirements. The candidate will work on complex modules and ensure high-quality releases through rigorous QA. Proficiency in data libraries like NumPy and Pandas for quantitative modeling is required.
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Experience
1-3 years
Function
Engineering
Work mode
Onsite, India
Company
Tier 2
What you will work on
WNS is seeking an Assistant Manager to join their team focused on intelligent operations and transformation. The role involves implementing web applications using Python and Django while managing project requirements. The candidate will work on complex modules and ensure high-quality releases through rigorous QA. Proficiency in data libraries like NumPy and Pandas for quantitative modeling is required.
TAL's take
A solid mid-level engineering role at a large, established service firm with clear technical requirements and responsibilities.
The JD clearly defines the role responsibilities and required technical stack for a Python/Django developer.
Salaries at WNS
10.5 LPA average
Based on 156 Grapevine salary entries for WNS.
Engineering
2 - 4 years | A
10 LPA average
Range: 9 - 11 LPA
Engineering
4 - 6 years | A
12 LPA average
Range: 12 - 13 LPA
Engineering
6 - 8 years | A
24 LPA average
Range: 24 - 24 LPA
Engineering
16 - 18 years | B1
30 LPA average
Range: 30 - 30 LPA
Must haves
- 1.5-3 years experience implementing web applications in Python/Django
- Knowledge of SciPy, NumPy, and Pandas libraries
- Understanding of SDLC phases
- Experience in agile methodology
- Ability to design and develop web applications using Python
- Understanding of unit testing, data structures, and design patterns
Tools and skills
About the company
WNS is a large, well-established global BPO and managed services firm with significant operations, though not primarily a product-led engineering brand.
Posts mentioning WNS
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Offer Selection
Please Help me to choose best offer: 1. Infosys:8.5fixed+ 1 variable(will ask to match the new offer) 2. Capgemini: 11 Fixed 3. WNS: HR round tomorrow ( How much shall i ask) 4. Deloitte USI( managerial round went good but overall process is slow so not sure about HR round) All offers are for Gurugram Location Tech Stack: Azure Databricks + Pyspark, YOE: 3 My LWD is 24 September. WLB is my main priority. Thanks
Capgemini acquires WNS
Capgemini to acquire WNS for $3.3 billion - The Economic Times https://share.google/38AcWZJ0brElWpUuh