We Are Teva

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.

Our Team, Your Impact

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

Your Skills and Experience
- 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

📌 Machine Learning (España)
🏢 Teva Pharmaceutical
📍 España