Machine Learning & External Sensing Engineer I

Teva Pharmaceuticals is a leading innovative biopharmaceutical company focused on addressing patients' needs. As a Machine Learning & External Sensing Engineer, you will develop machine learning and AI capabilities to enhance supply chain decision-making through predictive forecasting and integration of external data.

Responsibilities:

• Develop Machine Learning models integrating external data sources
• Build forecasting enhancement capabilities using internal and external signals
• Integrate external indicators into planning and decision-support processes
• Develop AI agents supporting analytics, simulations, and operational monitoring
• Support automation of master data integrity and planning consistency checks
• Develop anomaly-detection and predictive alerting capabilities leveraging external signals
• Work with IT to industrialize data pipelines and AI services
• Collaborate with Commercial, Portfolio, Market Intelligence, and Analytics teams to operationalize external sensing capabilities

Requirements:

• 4+ years in Machine Learning / Data Science
• Strong Python experience
• Experience with time-series forecasting
• Experience integrating structured and unstructured external data sources
• Knowledge of Supply Chain or Demand Planning processes
• Experience with cloud-based analytics or AI environments
• Experience with Pharma datasets
• Exposure to AI agents / LLM-based automation
• Experience working with SAP planning ecosystems
• Experience with external sensing, signal detection, or predictive analytics environments