Pharma Forecasting

Pharma Forecasting

About WNS

WNS (Holdings) Limited (NYSE: WNS), is a leading global business process outsourcing company. WNS offers business value to 200+ global clients by combining operational excellence with deep domain expertise in key industry verticals, including Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare and Utilities. WNS delivers an entire spectrum of business process outsourcing services such as finance and accounting, customer care, technology solutions, research and analytics and industry-specific back-office and front-office processes. WNS has over 25,000 professionals across 29 delivery centers worldwide, including Costa Rica, India, the Philippines, Poland, Romania, South Africa, Sri Lanka, UK and US.

Deep industry knowledge and expertise, a partnership approach, comprehensive service offerings and a proven track record enable us to deliver business value to many of the world’s leading companies. We are passionate about building an organization that is valued by our clients, employees, business partners, investors and the community at large. Our management team comprises accomplished professionals from leading global organizations. Each member brings deep business acumen and outsourcing domain expertise, ensuring a strong growth curve.
For more information, visit www.wns.com

Educational Criteria:
Biotech/ Engineering degree or Pharma background with Master’s degree

Other Details:
Years of exp – 3-5 years

Functional Criteria:

• The candidate should have prior experience in developing epidemiology-based forecast for pipeline and launched Onco medicines
• Should have in depth knowledge of various forecasting methodologies and through understanding of oncology complexities involved (market/ disease/ therapy)
• Should have structured thought process to create proper scope or defining problem statement and communicate effectively to the stakeholders
• Should be able to demonstrate critical and innovative thinking in ways of working
• Should manage tight delivery timelines and work in matrix reporting environment
• Should have previous work experience in handling structured a semi structured commercial data sources pertaining to sales/ volume/ price/ promotional/ patient data enabling to connect the dots and use the data effectively in supporting / validating the hypothesis
• Have excellent working knowledge in building forecast models in Excel
• Ability to comprehend and recommend application of new digital technologies

Location -- Bangalore/ Mumbai/Pune/ Noida/ Gurgaon

Experience -- 3-7 years

Job Type -- Full Time

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