M LEVEL 9 OTHER The Data Science Specialist (R) will be part of our Client Analytics as a Service Core Data Scientist team and collaborate with subject matter experts to develop advanced analytics statistical models/ machine learning methods and solutions for our Client operations clients to improve various business outcome indicators. Key Responsibilities:

• Work in close collaboration with business teams to define analysis and modelling objectives

• Work with Data engineers to define data requirements for modelling projects

• Successfully develop, conceptualize and test Various Statistical models

• Integrates the outcomes as real-time analytics to elevate the Accenture’s ability to create value for clients in areas and through means not immediately apparent to clients

• Work on data analysis and predictive models focused on marketing / CRM analytics – including but not limited to - customer segmentation & profiling, forecasting, A/ B tests (Test – control ) etc

• Define modeling approach

• Create modelling codes/ scripts - (R/ Open source programing tools)

• Validate and refine models Data Scientists in Operations follow multiple approaches for project execution from adapting existing assets to Operations use cases, exploring third-party and open source solutions for speed to execution and for specific use cases, and engaging in fundamental research to develop novel solutions. They also leverage the vast global network of client to collaborate with client Tech Labs, Accenture Open Innovation and client Analytics for creating solutions. Data Scientists are expected to collaborate with other data scientists, subject matter experts, sales, and delivery teams from client locations around the globe to deliver strategic advanced analytics projects from design to execution. Basic Qualifications

• M.S. in a quantitative field such as Computer Science, Statistics, or Mathematics

• 4 years of hands on working with data , 2+ years of predictive modelling, machine learning and data science experience

• 2 / 2 + years of hands on R Coding involving focused on DS packages –

• Proficiency in statistical and other tools/languages - R, S-plus, SAS, STATA, Python, Java, Scala Preferred Skills:

• Coding experience with R/ SAS/ open source programing platforms

• Experience handling data driven decisions in technology / online marketing channels/ email campaigns / internet domain

• Communicate concisely and persuasively with engineers and product managers

• Experience in various statistical and machine learning models, data mining, unstructured data analytics in corporate or academic research environments

• 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

• Passion to answer Product/Engineering questions with data

• Ability to think creatively to solve real world business problems

• Familiarity with relational databases and intermediate level knowledge of SQL

• Ability to work in a global collaborative team environment

• Proficient verbal and written communication skills in English

Required Skills Required Experience