Join Accenture Operations' global data science group, a dynamic team focused on innovation and transformation through machine learning and advanced analytics. You'll tackle diverse business challenges across various industries, developing cutting-edge data science solutions to enhance Accenture Operations offerings. This role offers exposure to exciting business problems and data, driving the next generation of solutions.

Our team employs multiple approaches for project execution, from adapting existing assets to exploring third-party and open-source solutions. We also engage in fundamental research to create novel solutions, leveraging Accenture's extensive global network for collaboration with Accenture Tech Labs and Accenture Open Innovation.

In this role, you will analyze and solve increasingly complex problems. Your daily interactions will primarily be with peers within Accenture, with potential for some client and/or management interaction. You will receive minimal instruction on daily tasks and moderate guidance on new assignments. Decisions made will impact your own work and potentially the work of others. You will function as an individual contributor, potentially overseeing small work efforts or teams.

We are seeking professionals with expertise in Retail Supply Chain, Databricks, Forecasting, Time Series, and Statistical Modeling. Experience with Oracle Retail Demand Forecasting (RDF) is highly valued. Proficiency in MS Excel and PowerPoint is essential.

Candidates should possess knowledge of at least four from the following techniques: Classification, Regression, Clustering, Neural Networks, Dimensionality Reduction, Ensemble Modelling, and Natural Language Processing. Strong proficiency in Time Series Forecasting is a must, with specific experience in Retail Supply Chain Demand Forecasting (in-season and pre-season), Location Planning, Assortment Planning, and Demand Planning for new and existing stores.

We require strong communication and articulation skills in English. A basic understanding of various machine learning/data science models, data mining, and unstructured data analytics is beneficial. Experience with statistical programming in Python and data visualization using Power BI is desirable.

Educational background should include pursuing a Masters in Statistics, Economics, Business Analytics/Data Science, Mathematics, Operations Research, or a post-graduate certification in Data Science/Business Analytics. We are looking for candidates with 5 to 8 years of professional experience in Retail Forecasting projects, demonstrating the ability to manage and navigate large datasets and think creatively to solve real-world business problems within a global, collaborative team environment.