Data Science Apprentice (SPACE) - Pfizer
Step into a dynamic, fast-paced environment where you’ll play a vital role in shaping global regulatory processes. This apprenticeship offers you the chance to work on meaningful projects that impact patients worldwide while developing skills that will set you apart in your future career.
Role
The regulatory environment is complex, highly data driven, and continuously evolving. This creates an ideal setting for an Apprentice to develop strong analytical and technical skills while contributing to meaningful organisational outcomes. As a Data Science Apprentice, you will work within Global Regulatory and International Operations and Quality Oversight to explore data, generate insights, and support the improvement of critical business processes.
Job Responsibilities
Data analysis & Insight Generation
- Source, access and manipulate regulatory and quality datasets to support decision‑making.
- Explore, profile, and transform data to ensure accuracy, quality and consistency.
- Apply statistical analysis and data‑science techniques to identify trends, risks, and opportunities for improvement.
- Visualise data through dashboards, reports and storytelling to communicate findings to technical and non‑technical audiences.
Compliance & Quality Oversight Through Data
- Analyse operational and compliance metrics to identify gaps, deviations or potential risks.
- Support the design of automated, data‑driven monitoring approaches to strengthen compliance oversight.
- Document, track and analyse compliance‑related issues, providing data‑supported recommendations for remediation.
- Present analytical findings, project updates and improvement proposals in meetings.
Business Process & System Design
- Participate in mapping and analysing existing business processes to identify inefficiencies and opportunities for automation.
- Support system testing, validation and optimisation of new or updated digital tools.
- Help define and document process requirements to ensure alignment with organisational, ethical and regulatory standards.
Process Re‑Engineering & Continuous Improvement
- Use analytical evidence to recommend process redesign or optimisation opportunities.
- Contribute to change‑management activities including impact assessments, stakeholder engagement and benefit analysis.
- Apply an inquisitive, hypothesis‑driven approach to test and evaluate new solutions.
What could you expect to gain?
- Experience working in a multidisciplinary team that oversees global processes where you are valued as a key member and pushed to develop as an individual.
- A broad range of important transferable skills including excellent communication, problem solving, data analysis, and adaptability enhancing your future employment opportunities.
- Knowledge on how different departments across Pfizer interact to work towards common goals and the pride of helping patients across the globe.
- Communicating insights through reporting, dashboards and data storytelling.
Training
Training for this apprenticship will be completed through block release to Nottingham University.
Upon successful completion of the apprenticeship, you will be eligible to apply for other positions within the business.
- Apprenticeship Standard
- Data scientist (integrated degree) (level 6)
- Training Provider
- UNIVERSITY OF NOTTINGHAM, THE
- Working Week
- Monday to Thursday, 9am – 5.25pm. Fridays, 9am – 4.05pm. 12pm - 12.45pm lunch break.
- Expected Duration
- 3 Years 6 Months
- Positions Available
- 1
- Closing Date
- Friday, 20th March 2026
- Start Date
- Tuesday, 1st September 2026
Desired Skills
- Communication skills
- IT skills
- Attention to detail
- Organisation skills
- Problem solving skills
- Administrative skills
- Number skills
- Analytical skills
- Logical
- Team working
- Creative
- Initiative
Qualifications
- 5 GCSE's including Maths and English GCSE, grade 5/C or above (Essential)
- At least 3 A-Levels, including Maths A Level, grade minimum BBC with B in Maths (Essential)