About the role
AI summarisedThe Junior Data Scientist (Supply Planning) will support supply chain operations by applying data analysis and modeling techniques to improve forecasting, inventory optimization, and demand planning. This role involves working with cross-functional teams to develop data-driven insights that enhance supply chain efficiency and responsiveness. The position is suited for an early-career professional with strong analytical skills and an interest in applying data science to manufacturing or industrial supply chains.
IndustrialOnsiteEngineering
Key Responsibilities
- This role is ideal for mid-level professionals with strong technical foundations and a passion for solving complex supply chain problems.
- Key Responsibilities Develop and validate predictive models and optimization algorithms to support supply-demand alignment, inventory management, and planning cycle improvements.
- Build scenario planning tools and simulations to evaluate planning decisions under uncertainty.
- Conduct exploratory data analysis and feature engineering using large-scale supply chain datasets.
Requirements
- Bachelor’s degree or higher in Data Science, Statistics, Computer Engineering, Supply Chain Management, or a related field.
- Proficiency in Python and SQL; experience with machine learning libraries (e.g., Pandas, Scikit-learn, TensorFlow) and data visualization tools (e.g., Tableau).
- Solid understanding of statistical modeling, forecasting, and optimization techniques.
- Familiarity with supply chain concepts such as demand planning, inventory optimization, and logistics.