WNS - Data Scientist

Responsibilities :

- This role will be working in defining personalized recommendation models for Digital Customer Engagement product suite

- Solve business problems through data exploration, descriptive analysis, statistical modelling, predictive models (including machine learning), and mathematical optimization.

- Work with Product Engineering teams to implement such solutions on Big Data platforms, with involvement at all stages of the development cycle from architecture to coding to testing.

- Interact with team to discuss the business problems and present solutions.

- Be capable of working independently or with Data Scientists as the situation demands.

- Have the ability to tackle a broad variety of problems in the digital domain and come up with the world class solutions and products expected in the industry.

Skills & Knowledge Technical / Functional and Managerial :

- BS/MSc in Computer Science / Mathematics / Engineering fields with emphasis on quantitative skills, from a top-tier college.

- 2+ years of work experience as a Data Scientist..

- Skilled in data analysis and modelling using tools such as Python, R, Julia, SAS, Scala, MATLAB, Octave, SPSS.

- Practical programming skills in languages such as Java, C++.

- Expertise in several of the following areas: Statistics, Predictive Modelling, Time Series Forecasting, Machine Learning, Linear and Mixed Integer Programming, Nonlinear Optimization, Stochastic Processes.

- Demonstrated ability, originality and creativity to work independently to solve hitherto unseen business problems as a Data Scientist.

- Passion and strong interest in learning Data Scientist skills and technologies.

- Excellent communication skills to interact with teams.

- Ability to work in a fast-paced and agile development environment.

Preferred :

- M.S. or Ph.D. in Computer Science / Mathematics / Operations Research / Physics / Economics / Engineering discipline from a top global university.

- Experience in working as a Data Scientist in the travel industry.

- Solid grounding in Computer Science.

- Experience in Product Development / Product Engineering.

- Experience in working on Big Data platforms such as Impala, Cassandra, MongoDB, CouchBase, Spark.