Data Science Apprentice (SPACE) - Pfizer in England
Data Science Apprentice (SPACE) - Pfizer

Data Science Apprentice (SPACE) - Pfizer in England

England Apprenticeship 17000 - 21000 ÂŁ / year (est.) No home office possible
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At a Glance

  • Tasks: Dive into data analysis and support global regulatory processes that impact patients worldwide.
  • Company: Join Pfizer, a global leader in healthcare innovation and patient care.
  • Benefits: Enjoy 25.5 days holiday, flexible hours, and a competitive salary of ÂŁ20,500.
  • Why this job: Make a real difference while developing valuable skills in a dynamic environment.
  • Qualifications: GCSE Maths and English, plus A-Levels or Level 4 Data Analyst apprenticeship.
  • Other info: Gain hands-on experience and career growth opportunities in a supportive team.

The predicted salary is between 17000 - 21000 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) 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 - ÂŁ20,500 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 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 in England employer: Pfizer

At Pfizer, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As a Data Science Apprentice, you will not only gain invaluable experience in a dynamic environment but also enjoy a comprehensive benefits package, including flexible working hours, generous holiday allowance, and opportunities for personal and professional growth. Our commitment to employee development ensures that you will be supported every step of the way as you contribute to meaningful projects that impact patients worldwide.
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Contact Detail:

Pfizer Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Science Apprentice (SPACE) - Pfizer in England

✨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 big day.

✨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. This not only shows good manners but also reinforces your enthusiasm for the role.

We think you need these skills to ace Data Science Apprentice (SPACE) - Pfizer in England

Data Analysis
Statistical Analysis
Data Visualisation
Microsoft Excel
Analytical Skills
Problem-Solving Skills
Communication Skills
Project Management
Attention to Detail
Adaptability
Teamwork
Time Management
Process Mapping
Automation Techniques

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 dynamic environment at Pfizer!

Show Off Your Passion for Data: In your written application, express your enthusiasm for data science and how it can impact global health. We love candidates who are excited about using data to make a difference!

Be Clear and Concise: Keep your writing clear and to the point. Use bullet points where necessary to make your application easy to read. We appreciate straightforward communication!

Apply Through Our Website: Don’t forget to apply through our website! It’s the best way to ensure your application gets to us directly. Plus, it’s super easy to navigate!

How to prepare for a job interview at Pfizer

✨Know Your Data

Make sure you brush up on your data analysis skills before the interview. Familiarise yourself with common data science techniques and tools, especially those mentioned in the job description. Being able to discuss how you've used data to generate insights or solve problems will show that you're ready for the role.

✨Show Your Passion for Science

Pfizer is all about innovation and improving lives through science. Be prepared to share why you're passionate about data science and how it can impact healthcare. A genuine enthusiasm for the field can set you apart from other candidates.

✨Prepare for Scenario Questions

Expect questions that ask you to solve hypothetical problems or analyse data sets. Practice articulating your thought process clearly and logically. This will demonstrate your analytical skills and ability to think critically under pressure.

✨Communicate Effectively

Since you'll be working with both technical and non-technical audiences, practice explaining complex concepts in simple terms. During the interview, focus on clear communication and storytelling with data. This will highlight your ability to bridge the gap between data analysis and real-world applications.

Data Science Apprentice (SPACE) - Pfizer in England
Pfizer
Location: England
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  • Data Science Apprentice (SPACE) - Pfizer in England

    England
    Apprenticeship
    17000 - 21000 ÂŁ / year (est.)
  • P

    Pfizer

    50,000+
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