Job Description

Analytics: Create new insights from predictive statistical modeling activities that target and deliver value to our clients. Reports to: Analytics and Modeling Senior Manager General role description: The function focuses on delivering advanced analytics as a service. Primary Job Responsibilities: · Leads the delivery of strategic advanced analytics solutions across different industries · Provide analytics insights and solutions to solve business problems that are specific to client requirements · Leverage analytics within transformation projects in operations through maturity assessments and one-time analytics projects · Support operations in fact-based decision making, RCA and strategic initiatives through data analysis, text analysis and statistical modeling. · Follow multiple approaches for project execution · Adapt existing assets to Operations use cases · Explore third-party and open source solutions for speed to execution and for specific use cases · Engage in fundamental research to develop novel solutions · Collaborate with other data scientists, subject matter experts, sales, and delivery teams from company locations around the globe to deliver strategic advanced analytics projects from design to execution. · Build and manage analytics team for at least two towersEducation & Experience Requirements:

· Master’s or Ph.D. degree in Statistics, Mathematics, Computer Science, Economics, Physics, Engineering, or related scientific disciplines · Work experience of at least 10 years in relevant industries (Financial Services, Network, Utilities, Health Care, Marketing, Pharma, Retail etc.) – with hands on experience handling data-driven decisions · Experience in statistical modeling, machine learning, data mining, unstructured data analytics in corporate and/or academic research environments · Expert in statistical and other tools/ languages – e.g. R, S-plus, SAS, STATA, Python, C, C++, Java, Scala · Familiarity with relational databases and intermediate knowledge of SQL · Proven background in at least one of the following: Reliability models, Markov Models, Stochastic Models, Bayesian Modelling, Classification Models, Cluster Analysis, Neural Network, Non-parametric methods, Multivariate statistics · Aptitude to learn, think creativity to solve real world business problems, and work in a global collaborative team environment · Proficient verbal and written communication skills in EnglishNice to Have: · Hands on experience in developing and delivering machine learning models that work in a production setting · Experience working with large data sets and tools like MapReduce, Hadoop, Hive, etc. and large data streaming technologies like Spark, Flink, etc. · Experience in any of these domains: Infrastructure Services, Security, Retail, Digital Marketing, eCommerce, Insurance, Supply Chain, Banking, Capital Markets, etc.Functional Skills Required: · The knowledge and ability required to design, develop and deliver people and process solutions for clients and company. A specific knowledge and ability typically needed to fulfil responsibilities associated with work done and consistent with a talent segment and role. · Has mastered the following skills: o Business Analysis, Requirements Gathering o Analytics Solutions Design Skills o Stakeholder Management Skills o Project Management Skills o Story Telling or Communication Skills o Critical Thinking and Problem-Solving Skills · Technical Skills Required:The knowledge and ability required to design, develop and deliver IT, platform, architecture, software and infrastructure solutions for clients. · Has advanced technical skills on the ff: o Data Visualization and Business Intelligence o Data Mining knowledge o Data Management · Has expert technical skills on the ff: o Analytical Skills (statistical analysis, data transformation, descriptive/predictive/prescriptive analytics) o Modeling and Algorithm Building o Analytics Solutions Design o Modeling Tools like R and Python Domain and Industry Specialization:·The knowledge and ability required to influence our clients’ business agenda and generate value in the context of the industries in which they operate. · Cross-industry Knowledge – APPLIED · Cross-domain Knowledge – MASTEREDLeadership Skills Required: · Innovate for Results · Advocate a compelling vision · Collaborate across ecosystem · Execute with Agility · Personalize in a truly human way