Pfizer Limited

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 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: £20,500 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 at emailprotected 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. "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. Not sure where this career can take you? Take a look at our dedicated Careers hub to see what this career could look like for you in the future! Cogent Skills group (Cogent) is working hard to ensure a clear strategy towards proactively supporting Equality, Diversity and Inclusion initiatives that seeks to improve diversity and create opportunities for all. GDPR will be complied with when collecting and using this data and the data that you provide will be used for monitoring and analysis only.

A global pharmaceutical company is offering a data science apprenticeship where you'll shape regulatory processes and work on impactful projects. The role entails sourcing and analyzing regulatory data, applying statistical techniques, and visualizing data to inform decision-making. Candidates need qualifications in Mathematics and English. This opportunity also includes a competitive salary and benefits such as flexible working hours and training through Nottingham University. Ideal for motivated individuals looking to kickstart their careers in data science.