Analyst - Data Sciences

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.

Job Description

Job Description• The ideal candidate would be adept at understanding customer's business challenges and defineappropriate analytics approach to design solution• The ideal candidate should possess good communication and project management skills and can communicate effectively with a wide range of audiences, both technical and business• Ability to accurately comprehend business requirements and being able to translate technical results into easily understood business outcomes• The person should also be able to efficiently work with, or manage, an offshore team to produce outcomes in a timely manner. Previous experience working with the current offshore team would be really beneficial. • The person should be competent in Python (Pandas, NumPy, scikit-learn etc.), possess high levels of analytical skills and have experience in the creation and/or evaluation of predictive models. • Ideal candidate should have hands on experience using Machine Learning Techniques• They should also have data extraction capabilities (SQL) and/or be able to understand and evaluate code relevant to data extraction• Good knowledge of model development/data engineering experience using Python and R• He / She would be responsible for creating Presentations, reports etc to present theanalysis findings to the end clients/stakeholders• Should possess the ability to confidently socialize business recommendations and enable customer organization to implement such recommendations.• Ideal candidate should be able to drive customer engagement and always exhibit thought leadership and provide value add • Technical Experience (using Python):o Hands on experience in developing models (end to end) Logistic regression Clustering  Decision Tree Random Forest Support Vector Machine Naïve Bayes Gradient Boosting Machine Deep learning Natural Language Processingo Tools Python (mandatory), R (preferred) Experience processing large amount of data using BigData technologies is preferred Knowledge of any of the visualization tools like Tableau, R Shiny etc. is a plus• Functional/Domain Experience:o Good exposure to Insurance domain• Certifications/Analytics competitionso Recognized certifications in analytics technologies o Participations/solving Kaggle competitions

Qualifications

• Educational Qualification:o Masters in Statistics/Mathematics/Economics/Econometrics from Tier 1 institutions Or BE/B-Tech, MCA or MBA from Tier 1 institutions• Relevant Experience: o 8+ years of hands on experience in executing analytics projects