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.

Qualification Requirements

Grade 5 in GCSE Mathematics or equivalent, Grade 4 in GCSE English Language or equivalent (prior to admission)

with

BBB-BBC at A-Level, with a B in Maths. We will not accept A-Levels Citizenship Skills, General Studies, and Critical Thinking.

Level 4 Data Analyst apprenticeship at Distinction

Salary - £20,500 per annum

Benefits

Holiday Allowance - 25.5 Days Holiday Allowance, plus Bank Holidays
Pension - Employee 5%, Employer 3%
Flexible Working Hours
Casual Dress
Discount Scheme
Employee Assistance Programme
Onsite Canteen
Onsite Parking
Employee Recognition/Awards

Location - Pfizer Ltd, Walton Oaks, Dorking Road, Tadworth, Surrey, KT20 7NS

Working Hours
Monday to Thursday, 9am – 5.25pm. Fridays, 9am – 4.05pm

12pm - 12.45pm lunch break

Duration - 42 months

Start Date - 1st September 2026

Interview Date - The assessment centre for this role will be held in April, date still to be confirmed

Closing Date for Applications - 20th March 2026

To Apply
To apply, please click the Apply Now button and complete the form. If you are having difficulty in completing this, please contact recruitment on recruitment@cogentskills.com for assistance

Next Steps

Successful candidates will be progressed to a one way video interview, invites will be sent via email.

The video interview will be reviewed by the Hiring Manager

Job Description

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.

Candidate Requirements

Skills

Ability to work effectively in a team environment, as well as in individual settings
Effective time-management and prioritisation of competing activities
Organizational and project management skills
Analytical and problem-solving skills with a logical thinking approach
Ability to generate creative and innovative ideas
Oral/written communication and presentation skills
Basic knowledge of data analysis, data visualisation and storytelling
Technically competent in Microsoft Office – Proficient Microsoft excel skills are favourable

Personal Qualities

High level of attention to detail
Self-driven and able to set goals which are realistic but challenging
Pro-activity and enthusiasm
Ability to communicate effectively with colleagues and voice constructive opinions to Management
Motivated to drive your career progression and development
Open to change and adaptable within a work environment, with a willingness to learn

Training To Be Delivered

Qualification to be delivered: BSc (Hons) Data Scientist

Apprenticeship Standard: Data Scientist

Training Provider: Nottingham University

Delivery model: Training will be completed through block release

Future Prospects

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

Things To Be Considered

The apprentice must be able to demonstrate the required attitudes, behaviours and interpersonal skills associated with the workplace. The apprentice must be willing to commit an amount of personal time to study. Please ensure you check travel options to be able to commute to the workplace. Sponsored buses are available to aid commuting to the Pfizer Walton Oaks Site.

About Pfizer

You’re the future. Your ambition, talents, ideas and unique way of looking at the world will help us drive innovation in every part of our business.

At Pfizer, we apply science and our global resources to bring therapies to people that extend and significantly improve their lives. We strive to set the standard for quality, safety and value in the discovery, development and manufacture of health care products, including innovative medicines and vaccines. Every day, Pfizer colleagues work across developed and emerging markets to advance wellness, prevention, treatments and cures that challenge the most feared diseases of our time.

We need people with a hugely diverse range of talents. “Love Science? Want to work on the business side? Get stuck into an apprenticeship to launch your career.

Pfizer’s apprenticeship scheme, run in partnership with Cogent Skills, offers the best of both worlds. You’ll work with world-leaders in your field, from researchers to business gurus. You’ll study towards a nationally recognised academic or professional qualification. And all the time, you’ll be earning a highly competitive salary.

Looking for an alternative to college or university, where you can earn while you learn, and build experience with a global leader? Find it at Pfizer.

Data Science Apprentice (SPACE) - Pfizer