Machine Learning & External Sensing Engineer

As a Machine Learning & External Sensing Engineer , you will develop Machine Learning, AI-agent, and external sensing capabilities focused on predictive forecasting, intelligent automation, and integration of external business signals into Supply Chain decision-making processes.

How You’ll Spend Your Day

• 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

• 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

Also Good to Have

• 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

We’re Teva, a leading innovative biopharmaceutical company, enabled by a world-class generics business. Whether it’s innovating in the fields of neuroscience and immunology or delivering high-quality medicine worldwide, we’re dedicated to addressing patients’ needs now and in the future. Here, you will be part of a high-performing, inclusive culture that values fresh thinking and collaboration. You’ll have the room to grow, the flexibility to balance life with work, and the opportunity to better health worldwide, together.