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

Training:

Training for this apprenticeship will be completed through block release to Nottingham University.



Training Outcome:

Upon successful completion of the apprenticeship, you will be eligible to apply for other positions within the business.



Employer Description:

As the specialists in skills for science and technology, our purpose is to make sure your business; your people and our industry are future ready. We are a not-for-profit charitable organisation with a family of commercially focused companies committed to supporting the skills, needs and ambitions across the UK science and technology sector.



Working Hours :
Monday - Thursday 9.00am - 5.25pm and Fridays 9.00am - 4.05pm with 12.00pm - 12.45pm lunch break.

Skills:
Communication skills,IT skills,Attention to detail,Organisation skills,Analytical skills,Logical,Team working,Initiative


  • Location:
  • Type: Permanent
  • Recruiter: UNIVERSITY OF NOTTINGHAM, THE
  • Posted: 26-May-2026
  • Posted on: findapprenticeship.service.gov.uk