Accenture Operations is a leader in process outsourcing industry recognized by several analysts. For five years in a row, the International Association of Outsourcing Professionals (IAOP) has named Accenture the No. 1 global outsourcing service provider. We are strategic partner to several clients and have a client-focused culture characterized by strong and enduring relationships with more than 400 of the world's leading companies. We provide BPO services to client operations in 150 countries and 45+ languages and provide infrastructure services to clients in 49 countries and 20 languages. We have our market leading 10 focus offerings in business process outsourcing (F&A, Marketing, Talent & HR, Supply Chain, Procurement, Network, Life Sciences, Utilities, Credit Services, Health Admin and Care Management) and leading infrastructure service offerings in infrastructure consulting, infrastructure management, cloud and security
Position: CL 11 - Analyst
Required: The final year 2022 batch of M.Sc Economics
About the role: 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 Accenture to collaborate with Accenture Tech Labs, Accenture Open Innovation and Accenture Analytics for creating solutions. Data Scientists are expected to collaborate with other data scientists, subject matter experts, sales, and delivery teams from Accenture locations around the globe to deliver strategic advanced analytics projects from design to execution.
• Work experience of 0(for freshers)/ 2 - 4 years - in relevant industries (FS, Capital Market, Health Care, Pharma, Retail etc) - with hands on experience handling data driven decisions • Experience in statistical modeling, machine learning, data mining, unstructured data analytics in corporate or academic research environments • Proficiency in statistical and other tools/languages - R, S-plus, SAS, STATA, Python, C, C++, Java, Scala • Familiarity with relational databases and intermediate level knowledge of SQL • Proven background in at least one of the following - Reliability models, Markov Models, Stochastic models, Bayesian Modeling, Classification Models, Cluster Analysis, Neural Network, Non-parametric Methods, Multivariate Statistics • Aptitude to learn • Ability to think creatively to solve real world business problems • Ability to work in a global collaborative team environment • Proficient verbal and written communication skills in English Preferences: • Hand on Experience data science: 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. • Experience working with large data streaming technologies like Spark, Flink, etc. • Experience in any of the domains: Infrastructure Services, Security, Retail, Digital Marketing, eCommerce, Health, Supply Chain, Banking
CTC: Rs.7.26/- lacs pa
PPT (Virtual) and online test: January 6, 2021 (tentative)
Interview: January 13/14, 2021 (tentative)
Apply through your Dashboard/Notice board
Last date: December 28, 2021
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