Data Scientist (Pharma)

Job description

Company Description

WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.

We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees. Our global footprint spans 16 countries with 61 delivery centers worldwide including in China, Costa Rica, India, the Philippines, Poland, Romania, South Africa, Spain, Sri Lanka, Turkey, United Kingdom and the United States.

Job Description

  • Partner with the Clients’ Advanced Analytics team to identify, scope, and execute advanced analytics efforts that answer business questions, solve business needs, and add business value. Examples include estimating marketing channel effectiveness or estimating sales force sizing.
  • Maintain a broad understanding of pharmaceutical sales, marketing and operations and develop analytical solutions in these areas .
  • Stay current with respect to statistical/mathematical/informatics modeling methodology, to maintain proficiency in applying new and varied methods, and to be competent in justifying methods selected.
  • POC development or R package development for building internal capabilities and standardization of common modeling processes
  • Lead & guide the team independently or with little support to implement & deliver complex project assignments.
  • Provide strategic leadership to the team by building new capabilities within the group and identifying business opportunities
  • Provide thought leadership by contributing to whitepapers and articles at the BU and organization level
  • Developing and delivering formal presentations to senior clients in both delivery and sales situations

Technical Skills:

  • Proficiency in statistical and other tools/ languages - R, SAS, Python.
  • Experience in Statistical and Machine Learning techniques such as Regression (Linear/Logit/Gamma), Decision Trees, Text Mining and Natural Language Processing, Stochastic models, Bayesian Models, Markov Chains, Monte Carlo Simulations, Non-linear Time Series, Dynamic Programming and Optimization techniques, Design of Experiments, Neural Networks, Statistical Inference, Collaborative Filtering, Feature Engineering, etc


Any Graduate /Post Graduate Degree

Additional Information

Pharma/Data Science/ Python /R / Advance Analytics/ Decision Science/Market Mix Modelling

4-9 years

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