ROLE SUMMARY The Data Scientist role will be part of the Supply Planning Data Intelligence organization and will be responsible for building, training, deploying, and maintaining AI/ML models and automation tools for supply chain master data.
Acting as part of the "tech engine" of the Intelligent Data Factory initiative, this role develops advanced analytics solutions—such as optimization algorithms, predictive models, generative AI tools, and intelligent data agents—to drive autonomous and self-healing data pipelines.
The Data Scientist works globally across multiple functions to enable a data-driven and automated supply chain, progressing through a phased delivery model that starts with foundational quick wins and evolves into a mature ecosystem of self-learning, autonomous data agents.
ROLE RESPONSIBILITIES Develop Optimization in Phase 2,



help implement more advanced optimization algorithms and generative AI "copilots" to significantly increase process autonomy; in Phase 3, assist in cultivating a fully mature ecosystem of self-learning, autonomous data agents that require minimal human intervention.
Through each phase, ensure learnings are captured and fed back into the development cycle to drive continuous improvement.
This role is the main lead to hand over validated and tested solutions into production with the Digital/IT team, becoming the business owner of the deployed solutions.
QUALIFICATIONS Education able to query and manipulate data in SQL and utilize cloud services for model deployment.
Analytical

📌 Sr Manager Data Scientist Supply Chain (Madrid)
🏢 Pfizer
📍 Madrid