Job Description

About Accenture:
Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. We combine unmatched experience and specialized capabilities across more than 40 industries - powered by the world's largest network of Advanced Technology and Intelligent Operations centers. With 514,000 people serving clients in more than 120 countries, Accenture brings continuous innovation to help clients improve their performance and create lasting value across their enterprises. Visit us at www.accenture.com

Job Description Details:andlt;br or andgt; andlt;br or andgt; Role: Data Science Managerandlt;br or andgt; Function: Applied Intelligence Accenture Strategy andamp; Consultingandlt;br or andgt; Team: Solutions.AIandlt;br or andgt; andlt;br or andgt; Accenture Applied Intelligence helps clients to use analytics and artificial intelligence to drive actionable insights at scale. Accenture Applied Intelligence applies sophisticated algorithms data engineering and visualization to extract business insights and help clients turn those insights into actions that drive tangible outcomes – to improve their performance and disrupt their markets. With deep industry and technical experience Accenture Applied Intelligence provides services and solutions that include but are not limited to analytics-as-a-service through the Accenture Insights Platform continuous intelligent security machine learning and IoT Analytics. For more information visit https: or or www.accenture.com or us-en or applied-intelligence-index.andlt;br or andgt; andlt;br or andgt; Key Responsibilities:andlt;br or andgt; andlt;br or andgt; Manager is responsible to help the clients with analytics solution. He or she should be strong in analytics fundamentals and should have good hands on experience working with the following:andlt;br or andgt; andlt;br or andgt; • Ability to work with large data sets and present conclusions to key stakeholders; Data management using SQLandlt;br or andgt; • Develop a clear understanding of client’s business issue to inform the best approach to the problem. andlt;br or andgt; • Track down and read all previous information on the problem or issue in question. Explore obvious and known avenues thoroughly. Ask a series of probing questions to get to the root of a problem.andlt;br or andgt; • Adopt a clear and systematic approach to complex issues .i.e. A leads to B leads to C.. Analyze relationships between several parts of a problem or situation. Anticipate obstacles and identify a critical path for a projectandlt;br or andgt; • Deliver products and services that empower clients to implement effective solutions. Makes specific changes and improvements to processes or own work to achieve more. Work with other team members and make deliberate efforts to keep others up to date.andlt;br or andgt; • Support monitor and manage all aspects of daily activities with andlt;br or andgt; o Audience Segmentationandlt;br or andgt; o Attrition or Cross-Sell or Upsell Propensity Modelsandlt;br or andgt; o Root-cause analysisandlt;br or andgt; • Establish a consistent and collaborative presence with clients and act as the primary point of contact for assigned clients; escalate track and solve client issues.andlt;br or andgt; Must Have Skills:andlt;br or andgt; • Education: Bachelors or Master’s degree in Statistics or Economics or Mathematics or Engineering Degree from Top Colleges in India or Abroadandlt;br or andgt; • 10+ years of experience in analytics teams solving problems for top global companies.andlt;br or andgt; • Hands on experience in build and deployment of Statistical Models or Machine Learning using following techniques – Statistical Algorithms .preferred in sequence.andlt;br or andgt; o Segmentation .Cluster Analysis. andlt;br or andgt; o Exploratory Analytics .T-tests. andlt;br or andgt; o Multivariate Regression .Logistic OLS GLM etc.. andlt;br or andgt; o Decision Treesandlt;br or andgt; • Experience with SQL preferredandlt;br or andgt; o Traditional DB’s – Oracle TD Sybase MS SQL Win SQLandlt;br or andgt; • Excellent written and oral communication skills with ability to clearly communicate ideas and results to non-technical business people.andlt;br or andgt; andlt;br or andgt; Good To Have Skills:andlt;br or andgt; • Experience with Python andamp; SQL preferredandlt;br or andgt; • Ability of Visual story-telling with BI andamp; Visualization Tools .Tableau or Spotfire Cognos Business Objects. is preferred.andlt;br or andgt; • Experience using digital andamp; statistical modeling software .one or more. – R Revo R .Preferred. SAS Basic andamp; Enterprise Miner .Preferred. SQL .Preferred. SPSSandlt;br or andgt; • Any of the Big Data querying language .Hive PIG Hadoop etc..
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