Senior Supply Chain Decision Scientist

About the role

As a Senior Supply Chain Decision Scientist at Teva, you will design and operationalise advanced planning, optimisation and AI‑enabled analytics for end‑to‑end supply‑chain processes. You will work closely with planners, manufacturing, analytics and IT teams to turn data into actionable decision‑support tools.

Key responsibilities

• Develop AI‑assisted analytical and decision‑support capabilities for supply‑chain operations.
• Build AI‑agent‑supported monitoring and operational analytics tools.
• Analyse planning outcomes, identify optimisation opportunities and create KPI impact simulations.
• Design root‑cause analysis, anomaly‑detection and predictive alerting frameworks.
• Support dynamic planning parameters, scenario simulations and decision‑support tools.
• Contribute to AI‑enabled master data integrity and consistency initiatives.
• Collaborate with planners, manufacturing, analytics and IT to improve planning explainability and operational transparency.

Required profile

• Strong analytical and problem‑solving capabilities.
• Experience with AI/ML‑enabled analytics or monitoring environments.
• Proven experience in supply‑chain planning, operations or advanced planning settings.
• Familiarity with optimisation or constrained planning concepts.
• Ability to communicate complex analytical outputs to business users.

Required skills

• Python
• SQL
• AI/ML techniques
• SAP IBP or other advanced planning tools (preferred)

What we offer

• Generous annual leave and reward plans.
• Flexible working schedules (where applicable).
• Access to health support programmes and a career‑development platform.
• Opportunities to contribute to global health impact.