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.

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The ideal candidate would be adept at understanding customer's business challenges and define appropriate analytics approach to design solution
Should be able to convert mathematical/ statistics-based research/ academic literature into sustainable data science solutions
This is a hands-on role, will be required to manage day to day delivery activities in executing analytics projects by analysing large volume of data
Should have familiarity on solutions in core functional areas related to Promotion Effectiveness, Digital Marketing, Customer Relationship Management (CRM), Campaign Management & Data Insights etc.
Evolve the approach for the application of machine learning/deep learning to existing program and project disciplines
He / She would also be responsible for creating Business & technical presentations, reports etc. to present the analysis findings to the end clients and for business development
This role requires excellent communication skills
.Must Have:
Hands on experience in exploratory data analysis, A/B testing, Campaign Measurement and model building (end to end), customer Analytics, Loyalty and Promotions1-2 years in hospitality industry
Tools: Databricks, Python, SQL, Experience on AWS platforms/Azure
Excellent communication skills, both oral and written.Functional/Domain Experience:Good exposure to hospitality industry and their datasets
Relevant Experience: 5+years of hands-on experience in Data Science
Qualifications
Educational Criteria:Masters in Statistics/Mathematics/Economics/Econometrics from Tier 1 institutions OrMBA from Tier 1 institutions - Preferred