Graduate Data Scientist (Pfizer Ringaskiddy)
Core
Implement data science and manufacturing intelligence strategies to drive digital transformation, continuous improvement, and process control in pharmaceutical API manufacturing.
Role type
Graduate Data Scientist (Manufacturing Intelligence)
Builds
Data aggregation platforms, advanced analytical models, and business intelligence solutions for API manufacturing processes.
Domain
Pharmaceutical manufacturing / Industrial Data Science
Deliverable
production ML models
Required skills
Statistical tools, SQL, R, Python, Visual Basic, Data modeling, Data analysis, Data engineering, Problem solving
Preferred skills
Pharmaceutical manufacturing processes, GMP regulations, UI/UX design, Lean, Six Sigma
Responsibilities
Design and implement advanced analytical models for business process improvements, support statistical activities for investigations and continuous improvement, develop and sustain data aggregation platforms, provide SME support to data consumers, deliver routine statistical support for compliance (cGMPs, CPV, APQR), collaborate with stakeholders to apply modeling techniques for efficiency.
Seniority
Graduate, structured 2-year program with mentoring
