Join Accenture Strategy & Consulting's Global Network – Data & AI practice and empower clients with high-performance analytics. This role focuses on Supply Chain Analytics, transforming data into actionable insights to enhance client decision-making and strengthen customer relationships. Be part of a dynamic team leveraging AI/ML and statistical tools to drive impactful strategies and outcomes for global clients.

This is an opportunity to contribute to transformative strategies for leading global companies. If you are a passionate problem-solver committed to an inclusive, diverse, and collaborative culture, explore the exciting global career opportunities at Accenture Strategy and Consulting.

Apply data science skills to resolve complex business challenges within the supply chain domain. Develop data-driven insights supported by statistical concepts, with a focus on areas like time series forecasting and optimization. Contribute to the development of innovative assets and solutions. Leverage statistical modeling and analytical techniques to extract meaningful patterns and drive informed business decisions.

Utilize advanced techniques for exploratory data analysis and data pre-processing to tackle client business problems effectively. Implement machine learning models and data manipulation using Python/PySpark. Proficiently use SQL for data preparation and descriptive analysis. Work with cloud platforms to deploy and manage analytical solutions.

Possess 2-3 years of professional experience in Machine Learning, Time Series Forecasting, or Optimization Techniques. Hold a Master’s degree in technology, engineering, or a quantitative field, such as Statistics, Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, or an MBA in Operations. Proficiency in data modeling derived from client project experience is essential.

Mandatory skills include extensive experience with data-driven techniques, including EDA and data pre-processing. Expertise in Python/PySpark for data manipulation, visualization, and ML models. Familiarity with at least one cloud solution (Azure, GCP, AWS) and SQL for data analysis is required. Strong understanding of the supply chain domain and excellent communication skills are crucial. Certifications in Python, AI/ML, Optimization, Simulation, or cloud platforms are advantageous.