Descripción del trabajo
Experteer Overview In this role you will build ML models and AI agents that incorporate external signals to improve Supply Chain forecasting and decision-making. You will partner with Commercial, Portfolio, Market Intelligence, and Analytics teams to operationalize external sensing capabilities. You drive data pipelines and anomaly detection to support predictive analytics at scale, empowering smarter planning and automation across the business. This is a collaborative, growth-focused role at Teva, blending cutting-edge analytics with real-world pharmaceutical supply chain applications.

Compensaciones / Ventajas

Develop ML models that integrate external data sources

Enhance forecasting using internal and external signals

Incorporate external indicators into planning and decision-support processes

Create AI agents to support analytics, simulations, and monitoring

Automate master data integrity and planning consistency checks





Build anomaly-detection and predictive alerting using external signals

Industrialize data pipelines and AI services with IT

Collaborate with Commercial, Portfolio, Market Intelligence, and Analytics teams to operationalize capabilities

Responsabilidades

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

Requisitos principales

generous annual leave

flexible working schedules

tailored health support

career development via Twist

opportunity to contribute to global health

inclusive culture

📌 Machine Learning (Madrid)
🏢 Teva Pharmaceutical Industries
📍 Madrid