Pricing Analytics

Company Description

WNS Global Services Inc. (NYSE: WNS) is a global Business Process Management (BPM) leader. WNS offers business value to 400+global clients by combining operational excellence with deep domain expertise in key industry verticals, including Banking and Financial Services, Consulting and Professional Services, Healthcare, Insurance, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Telecommunications, Travel and Utilities. Globally, the group’s over 44,000+ Professionals serve across 60 delivery centers in 16 countries worldwide.

Why Join Us?

At WNS, our mission is to enable clients to outperform with our passion for service and innovation. At the heart of each client engagement is our pursuit to understand our client’s business, and create impactful solutions that can drive agility and excellence into their business processes. Our promise of outperformance stems from our deep domain expertise, partnership approach and a global delivery network.

Our mission as an organization is guided by our CIRCLE of values: Client First, Integrity, Respect, Collaboration, Learning, Excellence.

We promise our employees to experience role clarity, coaching and mentoring, professional development and structured career path through our 5 people promises and keeping employee experience at the core. Experience the culture of outperformance, engagement, celebration and enjoy wide variety of best in class benefits including free HMO coverage for self and dependent from Day 1; Also contribute to society through our WNS Cares Foundation, where you have the opportunity to support meaningful initiatives and make an impact in the community.

Brief

Using Python and statistical concepts & require technical skills you will also be actively involved in building and developing various statistical models. As a key team member of advance analytics team, you would be scripting & running R codes & Python Codes, debugging the issue and generating desired output for pricing analytics project with your in-depth knowledge in product development and expertise in Python & R.

Work Experience

• 5 – 7 years of experience in working on analytics projects
• 4-5 years of experience in R & Python development

Role Requirements:

· Proficient in building statistical model using Python, generate output based on analytics team requirement, Validating the model basis on statistical parameter to get the desire output

• · Update existing R scripts, changes functionality as per project requirement
• · Debug & Test the code
• · Ability to create intuitive visualizations using Python
• · Willingness to learn new skills
• · Understanding the concept of pricing model including competitor impact.
• · Understanding of multiple linear Regression model, statistical concepts of price elasticity and interpretation.
• · Works well individually as well as in a cross-functional team. Support analytics project when needed
• · Ability to work independently and meet deliverable timeframes under pressure
• · Must have –
• - Familiarity Price and Promotion Models

• Knowledge of Consumer RMS/POS Data management (Nielsen, IRI, IMS, Sell out data)
• Experience with Python in developing statistical model

· Good to have, but not mandatory

• Written an R package (not necessarily publicly available)

Shift Time: 08:00 AM to 05:00 PM IST/11:00 AM to 8:00 PM IST

Qualifications

• M.Sc. Statistics
• M.Sc. Operational Research
• M.Sc. Mathematics
• B. Sc Stats + MBA