About Accenture: Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries,we offer Strategy and Consulting,Technology and Operations Services, and Accenture Song - all powered by the world's largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com Job Description CL 9 (Data Science Consultant – Supply Chain & Operations Analytics) [Accenture std. write-up..] Candidate should have good understanding of statistics/analytical/optimization methods and approaches. The ideal candidate should be able to bring in meaningful data driven insights supporting with statistical concepts and apply the same in wider Supply Chain area. The candidate is expected to use data science skills to solve client’s business problem in the supply chain area. The candidate should have functional skill set and Supply Chain domain knowledge with ability to apply data science skill set to solve supply chain problems. Additionally, the role would require contributing towards asset development initiatives. Experience and Education: • 5-6 years of experience in Machine Learning and/or Optimization Techniques. • Master’s degree in technology or engineering or quantitative field (e.g. MSc in Statistics and Operations Research, M Tech in Industrial Engineering, Applied Math/Statistics, Computer Science) • 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). Mandatory Skills: Must have: • Proficiency in data modeling developed through client projects. • Extensive use of data-driven techniques including exploratory data analysis and data pre-processing to solve business problems. • Proficient in using Python/PySpark programming for data manipulation, data visualization, and machine learning models with good hands-on experience. • Proficiency in any one of the Cloud solutions – Azure, GCP or AWS • Proficiency in SQL for data preparation, manipulation, and descriptive analysis • Proficient in supply chain domain • Excellent written and oral communication skills Good to have: • Experience on Simulation and Optimization • Visualization packages like Tableau/ Power BI • Exposure to tools like BY/ Anaplan/ o9/ Kinaxis /SAP IBP • Exposure to Client interaction • Exposure to business platforms (o9/Kinaxis/BY)