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For Companies At a Glance
- Tasks: Dive into data analysis and support global regulatory processes that impact patients worldwide.
- Company: Join Pfizer, a leader in healthcare innovation with a commitment to diversity and inclusion.
- Benefits: Earn ÂŁ20,500 per annum, enjoy flexible hours, and access professional development opportunities.
- Why this job: Make a real difference while gaining valuable skills in a dynamic, fast-paced environment.
- Qualifications: GCSEs in Maths and English, A-Levels with a B in Maths, and a passion for data.
- Other info: Experience career growth and the chance to work with world-class professionals.
The predicted salary is between 17500 - 22500 ÂŁ per year.
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)
- BBB–BBC at A‑Level, with a B in Maths (excluding A‑Levels in Citizenship, Skills, General Studies, and Critical Thinking)
- Level 4 Data Analyst apprenticeship at Distinction
Compensation & Benefits
- Salary: ÂŁ20,500 per annum
- Pension: Employee 5%, Employer 3%
- Flexible Working Hours
- Casual Dress
- Discount Scheme
- Employee Assistance Programme
- Onsite Canteen
- Onsite Parking
- Employee Recognition/Awards
Working Hours
Monday to Thursday, 9 am – 5:25 pm. Fridays, 9 am – 4:05 pm. 12 pm – 12:45 pm 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
How to Apply
To apply, please click the "Apply Now" button and complete the form. If you are having difficulty completing this, please contact recruitment for assistance.
Next Steps
Successful candidates will be progressed to a one‑way video interview. Invitations 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.
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
- Organisational 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 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
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.
Data Science Apprentice (SPACE) - Pfizer in Tadworth employer: Pfizer Limited
Contact Detail:
Pfizer Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Apprentice (SPACE) - Pfizer in Tadworth
✨Tip Number 1
Get to know the company! Research Pfizer and understand their values, mission, and recent projects. This will help you tailor your responses during interviews and show that you're genuinely interested in being part of their team.
✨Tip Number 2
Practice makes perfect! Prepare for the one-way video interview by rehearsing common questions and recording yourself. This way, you can refine your answers and get comfortable with the format before the real deal.
✨Tip Number 3
Show off your skills! During the interview, be ready to discuss any relevant projects or experiences that highlight your analytical and problem-solving abilities. Use specific examples to demonstrate how you've tackled challenges in the past.
✨Tip Number 4
Don’t forget to follow up! After your interview, send a thank-you email to express your appreciation for the opportunity. It’s a great way to leave a positive impression and keep you on their radar as they make their decision.
We think you need these skills to ace Data Science Apprentice (SPACE) - Pfizer in Tadworth
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your application to highlight how your skills and experiences align with the role. We want to see how you can contribute to our team, so don’t be shy about showcasing your relevant projects or coursework!
Show Your Passion for Data Science: Let your enthusiasm for data science shine through in your written application. Share any personal projects or experiences that demonstrate your interest in data analysis and problem-solving. We love seeing candidates who are genuinely excited about the field!
Be Clear and Concise: Keep your writing clear and to the point. Avoid jargon unless it’s necessary, and make sure your application is easy to read. We appreciate well-structured applications that get straight to the heart of what makes you a great fit for the role.
Apply Through Our Website: Don’t forget to apply through our website! It’s the easiest way for us to receive your application and ensures you’re considered for the role. Plus, if you run into any issues, we’re just an email away for assistance!
How to prepare for a job interview at Pfizer Limited
✨Know Your Data
Before the interview, brush up on your data analysis skills. Familiarise yourself with common data science techniques and tools that are relevant to the role. Be ready to discuss how you would approach analysing regulatory datasets and generating insights.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems in the past. Think about situations where you identified inefficiencies or risks and how you proposed solutions. This will demonstrate your analytical mindset and ability to contribute to process improvement.
✨Communicate Clearly
Practice explaining technical concepts in simple terms. You might be asked to present your findings or ideas to both technical and non-technical audiences. Being able to communicate effectively is key, so consider rehearsing with a friend or family member.
✨Be Ready for Teamwork Questions
Since this role involves working in a multidisciplinary team, expect questions about your teamwork experience. Prepare to share specific examples of how you've collaborated with others, resolved conflicts, or contributed to group projects. Highlight your adaptability and enthusiasm for learning from others.