Data Science Degree Apprentice - Pfizer

What can I achieve and what will I be responsible for?

The commercial analytics environment is complex, data-rich, and continuously evolving, making it an ideal setting to develop strong analytical and technical skills while contributing to meaningful business outcomes. As a Data Science Apprentice within the Cluster IIS & AI team, you will work alongside experienced analytics and AI professionals to explore data, generate insights, and support the delivery of impactful commercial intelligence across multiple European markets.

Data Analysis & Insight Generation:

• Source, access, and manipulate commercial and market datasets, including sales performance, patient metrics, and field force data to support decision making


• Explore, profile, and transform data to ensure accuracy, quality, and consistency across reporting outputs


• Apply statistical analysis and data science techniques to identify trends, risks, and commercial opportunities


• Visualise data through dashboards, reports, and storytelling to communicate findings to both technical and non-technical audiences

AI Enablement & Analytics Innovation:

• Support the design, monitoring, and evaluation of AI pilots deployed across cluster markets


• Assist in integrating AI-generated insights into existing performance tracking and commercial planning workflows


• Help test and validate new digital tools and data-driven approaches, contributing to the team's broader AI experimentation agenda

Commercial Performance & Measurement:

• Contribute to the development and maintenance of performance frameworks and KPI dashboards that monitor portfolio health across the cluster


• Support segmentation and targeting analyses that help identify priority opportunities for the field force


• Document, track, and analyse performance related findings, providing data-supported recommendations for improvement

Business Process & Continuous Improvement:

• Participate in mapping and analysing existing analytics workflows to identify inefficiencies and opportunities for automation


• Help define and document process requirements, ensuring alignment with organisational, ethical, and compliance standards


• Apply an inquisitive, hypothesis driven approach to test and evaluate new analytical solutions


• Contribute to change management activities including impact assessments and stakeholder engagement

What could you expect to gain?

• Experience working in a cluster-wide, cross-functional team that sits at the intersection of commercial strategy, data science, and AI, where your work directly influences how Pfizer reaches more patients, faster


• A broad range of transferable skills including data analysis, storytelling, stakeholder communication, and problem-solving


• Exposure to leading pharmaceutical data sources, visualisation tools (e.g. Power BI, Tableau), and AI experimentation frameworks


• An understanding of how commercial, medical, and digital functions collaborate within a matrixed, cluster-led organisation


• The opportunity to contribute to live projects with real business stakes, not simulated exercises