As an I&F Decision Sci Practitioner Sr Analyst at Accenture, you will be part of the global data science group within Accenture Operations. Your main responsibility will be to innovate and transform the Accenture Operations business by leveraging machine learning, advanced analytics, and data science techniques. You will have the opportunity to work on a variety of business problems and data sets, creating machine learning solutions that drive the next-generation offerings for Accenture Operations. **Key Responsibilities:**
Conceptualize, design, and develop innovative machine learning and data science solutions for various Accenture Operations business towers such as Retail, Supply Chain, Customer Analytics, Finance & Accounting, Procurement, Cloud, and Infrastructure. - Transform Operations through project execution strategies that involve adapting existing assets, exploring third-party solutions, engaging in fundamental research, and collaborating with Accenture Tech Labs and Accenture Open Innovation. - Utilize your expertise in Retail Supply Chain, Databricks, Forecasting, Time Series, Statistical Modeling, and Oracle Retail Demand Forecasting (RDF). - Demonstrate advanced proficiency in MS Excel, PowerPoint, and knowledge of various techniques including Classification, Regression, Clustering, Neural Networks, and Ensemble Modeling. - Apply your skills in Time Series Forecasting, Retail Supply Chain Demand Forecasting, Location Planning, Assortment Planning, and Demand Planning for New and Existing stores. - Communicate effectively in English, think creatively to solve business problems, and work collaboratively in a global team environment. - Utilize statistical programming skills in Python, data visualization experience in Power BI, and knowledge of machine learning/data science models. **Qualifications Required:**
Proficient in Retail Supply Chain, Databricks, Forecasting, Time Series, Statistical Modeling. - Experience with Oracle Retail Demand Forecasting (RDF) and MS Excel. - Knowledge of techniques such as Classification, Regression, Clustering, Neural Networks, and Ensemble Modelling. - Strong communication and articulation skills in English. - Familiarity with statistical programming in Python and data visualization in Power BI. - Pursuing Masters in Statistics, Economics, Business Analytics/Data Science, Mathematics, Operations Research, or Postgraduate certification in Data Science/Business Analytics. At Accenture, you will be responsible for analyzing and solving complex problems, collaborating with peers, interacting with clients and management, and making decisions that impact your work and potentially the work of others. You will work as an individual contributor or oversee a small team effort, demonstrating your ability to think creatively, manage large datasets, and deliver real-world business solutions. As an I&F Decision Sci Practitioner Sr Analyst at Accenture, you will be part of the global data science group within Accenture Operations. Your main responsibility will be to innovate and transform the Accenture Operations business by leveraging machine learning, advanced analytics, and data science techniques. You will have the opportunity to work on a variety of business problems and data sets, creating machine learning solutions that drive the next-generation offerings for Accenture Operations. **Key Responsibilities:**
Conceptualize, design, and develop innovative machine learning and data science solutions for various Accenture Operations business towers such as Retail, Supply Chain, Customer Analytics, Finance & Accounting, Procurement, Cloud, and Infrastructure. - Transform Operations through project execution strategies that involve adapting existing assets, exploring third-party solutions, engaging in fundamental research, and collaborating with Accenture Tech Labs and Accenture Open Innovation. - Utilize your expertise in Retail Supply Chain, Databricks, Forecasting, Time Series, Statistical Modeling, and Oracle Retail Demand Forecasting (RDF). - Demonstrate advanced proficiency in MS Excel, PowerPoint, and knowledge of various techniques including Classification, Regression, Clustering, Neural Networks, and Ensemble Modeling. - Apply your skills in Time Series Forecasting, Retail Supply Chain Demand Forecasting, Location Planning, Assortment Planning, and Demand Planning for New and Existing stores. - Communicate effectively in English, think creatively to solve business problems, and work collaboratively in a global team environment. - Utilize statistical programming skills in Python, data visualization experience in Power BI, and knowledge of machine learning/data science models. **Qualifications Required:**
Proficient in Retail Supply Chain, Databricks, Forecasting, Time Series, Statistical Modeling. - Experience with Oracle Retail Demand Forecasting (RDF) and MS Excel. - Knowledge of techniques such as Classification, Regression, Clustering, Neural Networks
