AI/ML Computational Science Analyst

Skill required: Data Scientist - Data Science

Designation: AI/ML Computational Science Analyst

Qualifications:Any Graduation

Years of Experience:3 to 5 years

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 784,000 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

What would you do You will be part of Accenture Operations global data science group, an energetic, strategic, high-visibility and high-impact team, to innovate and transform the Accenture Operations business using machine learning, advanced analytics and data science. You will have the unique opportunity to be exposed to a wide diversity of exciting business problems and data and create machine learning methods and data science solutions to deliver the next-generation Accenture Operations offerings. The objectives of the team include but are not limited to:

• Conceptualizing, designing and developing innovative machine learning / data science solutions for a wide range of Accenture Operations business towers: Retail, Supply Chain, Customer Analytics, Finance & Accounting, Procurement, Cloud, Infrastructure etc
• Integrating 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 clientsData 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 to engaging in fundamental research to develop novel solutions. They also leverage the vast global network of Accenture to collaborate with Accenture Tech Labs and Accenture Open Innovation for creating solutions. What are we looking for
• Experience working on Oracle Retail Demand Forecasting (RDF)
• Advanced knowledge and working experience in MS Excel and PPT
• Statistical programming experience – Python
• Data visualization experience- Power BI
• Knowledge of at least four of the following techniques – Classification, Regression, Clustering, Neural Networks, Dimensionality Reduction Techniques, Ensemble Modelling (random forest, boosted tree, etc.), Natural Language Processing, Forecasting
• Proficient in Time series Forecasting
• Must have experience in Retail Supply Chain Demand Forecasting (In-season and Pre-season), Location Planning, Assortment Planning, Demand Planning for New and Existing stores
• Strong communication and articulation skills in English
• Basic understanding of multiple machine learning/data science models, data mining, unstructured data analytics in corporate or academic research environments
• Ability to understand, manage and navigate large datasets
• Ability to think creatively to solve real world business problems
• Ability to work in a global collaborative team environment
• Education: Pursuing Masters in Statistics, Economics, Business Analytics/Data Science or Mathematics, Operations Research/ Post graduate certification in Data Science/Business Analytics
• 1-4 years professional experience working on Retail Forecasting projects Roles and Responsibilities:
• In this role you are required to do analysis and solving of increasingly complex problems
• Your day-to-day interactions are with peers within Accenture
• You are likely to have some interaction with clients and/or Accenture management
• You will be given minimal instruction on daily work/tasks and a moderate level of instruction on new assignments
• Decisions that are made by you impact your own work and may impact the work of others
• In this role you would be an individual contributor and/or oversee a small work effort and/or team