Being a fresh graduate with no experience, I started at WNS as an intern and got great industrial exposure along with the opportunity to explore diverse process functions, improve my skills, meet new people and have fun at the same time. With this foundation, I was able to begin my career as a senior associate at this very same place working under people, who were not just my managers but mentors as well. What I like most about working at WNS...

KRITI SHARMA, ASSISTANT MANAGER - OPS

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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.

Educational Criteria:

- Masters in Statistics/Mathematics/Economics/Econometrics from Tier 1 institutions Or Bachelor of Engineering or MBA from Tier 1 institutions - Preferred

Job Description :

- 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 and guide team in executing analytics projects by analyzing large volume of data

- Research and bring innovations to develop next generation solutions in core functional areas related to Promotion Effectiveness, Forecasting with detrending methods, Digital Marketing, Customer Relationship Management (CRM), Campaign Management & Data Insights etc.

- Provide technical thought leadership, coaching and mentorship in the field of data science in working with engineering and other cross functional teams

- 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.

Technical Experience : (not all technical exposures are expected from one individual)

Must Have :

- Hands on experience in developing models (end to end), esp Marketing Mix Model

- Model automation, Bayesian Inference/simulators, Bayesian Filters, GLM (Generalised Linear Models), GMM (Gaussian Mix Models) etc

- Recommended system (ALS, MF, Collaborative filtering and Content Filtering), Deep Learning methods

- Optimization Method like BFGS, differential evolutionary, MOO (multi objective optimization) etc

- Sound understanding of mathematics like probability theory, differential calculus, Laplace and Furrier transformations etc

- Tools : Python, SQL, Spark, TensorFlow, big data, Experience on AWS platforms, Knowledge of any visualization tools like Tableau, Quick sight, Qlik sense, Power BI etc. is a plus

Good to Have:

- Clustering, Decision Tree, Random Forest, Support Vector Machine, Na-ve Bayes, GBM, Multiple linear regression, Logistic regression, ARIMA/ARIMAX

Functional/Domain Experience:

- Good exposure to Retail, and/or e-commerce domains

- Participations/solving Analytics competitions/hackathons will be valued

- Relevant Experience: 5+years of hands on experience in Retail industry

Masters in Statistics/Mathematics/Economics/Econometrics from Tier 1 institutions, Bachelor of Engineering or MBA from Tier 1 institutions - Preferred undefined

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