Job
Description
Entity :- Accenture Strategy & Consulting Team :- Strategy & Consulting Global Network Practice :- Supply Chian Analytics Title :- Manager Job location :- Bangalore/Gurgaon/Hyderabad/ Mumbai About The Role : CL 7 (Data Science Manager Supply Chain Planning) The ideal candidate shall be, An expert in Supply chain operations domain and Data Science skills. Responsible to solution architect, design, build, deploy, deliver, and monitor advanced analytics models for supply chain planning areas such as demand, supply, procurement, inventory, spares, etc. planning. Interface with clients to understand engineering/business problems and translate it into analytics problems that shall deliver insights for action and operational improvements. Take initiatives and collaborate with different Accenture internal teams and support driving sales. Provide innovation and thought leadership support to build key capability areas such as tools & technology, new solutions in supply chain planning and assets & accelerators development. Experience and Education: A minimum 7-9 years of experience in industrial/consulting or related areas is needed with at least 5 years of supply chain advanced analytics solutions design and delivery experience. Good to have global client experiences. Ideal candidates should have a bachelor's degree preferably in Industrial/ Production/ Statistics/ Economics etc. and master's degree in Statistics/ Economics/ Operations Management/ Supply Chain/ Data Science, etc. Certifications in any one or two of the areas will be an added advantage:Python, AI/ML, Optimization, Simulation, any of the cloud platforms (Azure/ GCP/ AWS). Qualifications Mandatory Skills: Must have: Good understanding of overall supply chain planning and operations of any of the industries (CPG, Life sciences, Pharma, Industrial, Resources) and connect it with analytics solutions. Deep understanding of advanced analytics solutions descriptive, diagnostic, predictive, prescriptive, and generative and hands-on experience in building models using machine learning, deep learning, Gen AI models. Strong experience in any one or two of the supply chain functions demand planning, inventory planning, S&OP, logistics planning, etc. Hands-on programming experience with any of the analytics tools, data bases and visualization tools and platforms (Python, PySpark, SQL, Bigdata tools, PowerBI/ Tableau). Strong written and oral communication skills. Good to have: SME in one or more of the supply chain functions Visualization packages like Tableau/ Power BI Exposure to tools like BY/ Anaplan/ o9/ Kinaxis /SAP IBP Experience in live data streaming and data ingestion tools.
