I have experience in supply chain management and want to explore a career in data science. Which existing skills, such as demand forecasting, inventory management, and data analysis, are useful in this field, and what additional technical skills should I learn?
Supply chain experience can be a real advantage in Data Science because you already work with business problems involving demand, inventory, costs, and delivery performance.
Some useful transferable skills are:
- Demand forecasting: Helps with time-series analysis and predictive modelling.
- Inventory management: Useful for predicting stockouts and optimising stock levels.
- KPI analysis: Builds your ability to measure performance and identify trends.
- Root cause analysis: Helps investigate patterns and understand why problems occur.
- Supplier and logistics analysis: Useful for predicting delays, costs, and supplier risks.
To make the transition, learn SQL, Python, statistics, and Machine Learning, then build projects such as demand forecasting or delivery-delay prediction using supply chain datasets.
You could start with Supply Chain Data Analyst or Forecasting Analyst roles and progress toward Data Scientist positions as your technical skills develop.