Data Science Degree Apprentice - Pfizer
Cogent Ssc Limited
Tadworth, Surrey (KT20 7NS)
Closes in 16 days (Thursday 11 June 2026)
Posted on 26 May 2026
Contents
Summary
The commercial analytics environment is complex, data-rich, and continuously evolving, making it an ideal setting to develop strong analytical and technical skills while contributing to meaningful business outcomes.
- Wage
-
£20,500 a year
- Training course
- Data scientist (integrated degree) (level 6)
- Hours
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Monday - Thursday 9.00am - 5.25pm and Fridays 9.00am - 4.05pm with 12.00pm - 12.45pm lunch break.
36 hours a week
- Start date
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Tuesday 1 September 2026
- Duration
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3 years 6 months
- Positions available
-
1
Work
Most of your apprenticeship is spent working. You’ll learn on the job by getting hands-on experience.
What you'll do at work
What can I achieve and what will I be responsible for?
The commercial analytics environment is complex, data-rich, and continuously evolving, making it an ideal setting to develop strong analytical and technical skills while contributing to meaningful business outcomes. As a Data Science Apprentice within the Cluster IIS & AI team, you will work alongside experienced analytics and AI professionals to explore data, generate insights, and support the delivery of impactful commercial intelligence across multiple European markets.
Data Analysis & Insight Generation:
- Source, access, and manipulate commercial and market datasets, including sales performance, patient metrics, and field force data to support decision making
- Explore, profile, and transform data to ensure accuracy, quality, and consistency across reporting outputs
- Apply statistical analysis and data science techniques to identify trends, risks, and commercial opportunities
- Visualise data through dashboards, reports, and storytelling to communicate findings to both technical and non-technical audiences
AI Enablement & Analytics Innovation:
- Support the design, monitoring, and evaluation of AI pilots deployed across cluster markets
- Assist in integrating AI-generated insights into existing performance tracking and commercial planning workflows
- Help test and validate new digital tools and data-driven approaches, contributing to the team's broader AI experimentation agenda
Commercial Performance & Measurement:
- Contribute to the development and maintenance of performance frameworks and KPI dashboards that monitor portfolio health across the cluster
- Support segmentation and targeting analyses that help identify priority opportunities for the field force
- Document, track, and analyse performance related findings, providing data-supported recommendations for improvement
Business Process & Continuous Improvement:
- Participate in mapping and analysing existing analytics workflows to identify inefficiencies and opportunities for automation
- Help define and document process requirements, ensuring alignment with organisational, ethical, and compliance standards
- Apply an inquisitive, hypothesis driven approach to test and evaluate new analytical solutions
- Contribute to change management activities including impact assessments and stakeholder engagement
What could you expect to gain?
- Experience working in a cluster-wide, cross-functional team that sits at the intersection of commercial strategy, data science, and AI, where your work directly influences how Pfizer reaches more patients, faster
- A broad range of transferable skills including data analysis, storytelling, stakeholder communication, and problem-solving
- Exposure to leading pharmaceutical data sources, visualisation tools (e.g. Power BI, Tableau), and AI experimentation frameworks
- An understanding of how commercial, medical, and digital functions collaborate within a matrixed, cluster-led organisation
- The opportunity to contribute to live projects with real business stakes, not simulated exercises
Where you'll work
Pfizer Ltd
Walton Oaks
Dorking Road
Tadworth, Surrey
KT20 7NS
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
UNIVERSITY OF NOTTINGHAM, THE
Training course
Data scientist (integrated degree) (level 6)
Understanding apprenticeship levels (opens in new tab)
What you'll learn
Course contents
- Identify and clarify problems an organisation faces, and reformulate them into Data Science problems. Devise solutions and make decisions in context by seeking feedback from stakeholders. Apply scientific methods through experiment design, measurement, hypothesis testing and delivery of results. Collaborate with colleagues to gather requirements.
- Perform data engineering: create and handle datasets for analysis. Use tools and techniques to source, access, explore, profile, pipeline, combine, transform and store data, and apply governance (quality control, security, privacy) to data.
- Identify and use an appropriate range of programming languages and tools for data manipulation, analysis, visualisation, and system integration. Select appropriate data structures and algorithms for the problem. Develop reproducible analysis and robust code, working in accordance with software development standards, including security, accessibility, code quality and version control.
- Use analysis and models to inform and improve organisational outcomes, building models and validating results with statistical testing: perform statistical analysis, correlation vs causation, feature selection and engineering, machine learning, optimisation, and simulations, using the appropriate techniques for the problem.
- Implement data solutions, using relevant software engineering architectures and design patterns. Evaluate Cloud vs. on-premise deployment. Determine the implicit and explicit value of data. Assess value for money and Return on Investment. Scale a system up/out. Evaluate emerging trends and new approaches. Compare the pros and cons of software applications and techniques.
- Find, present, communicate and disseminate outputs effectively and with high impact through creative storytelling, tailoring the message for the audience. Use the best medium for each audience, such as technical writing, reporting and dashboards. Visualise data to tell compelling and actionable narratives. Make recommendations to decision makers to contribute towards the achievement of organisation goals.
- Develop and maintain collaborative relationships at strategic and operational levels, using methods of organisational empathy (human, organisation and technical) and build relationships through active listening and trust development.
- Use project delivery techniques and tools appropriate to their Data Science project and organisation. Plan, organise and manage resources to successfully run a small Data Science project, achieve organisational goals and enable effective change.
Training schedule
Training for this apprenticeship will be completed through block release to Nottingham University.
Requirements
Essential qualifications
GCSE in:
A Level in:
Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.
Skills
- Communication skills
- IT skills
- Attention to detail
- Organisation skills
- Analytical skills
- Logical
- Team working
- Initiative
About this employer
As the specialists in skills for science and technology, our purpose is to make sure your business; your people and our industry are future ready. We are a not-for-profit charitable organisation with a family of commercially focused companies committed to supporting the skills, needs and ambitions across the UK science and technology sector.
Company benefits
- 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
- Employee Recognition / Awards
Disability Confident
A fair proportion of interviews for this apprenticeship will be offered to applicants with a disability or long-term health condition. This includes non-visible disabilities and conditions.
You can choose to be considered for an interview under the Disability Confident scheme. You’ll need to meet the essential requirements to be considered for an interview.
After this apprenticeship
Upon successful completion of the apprenticeship, you will be eligible to apply for other positions within the business.
Ask a question
The contact for this apprenticeship is:
UNIVERSITY OF NOTTINGHAM, THE
The reference code for this apprenticeship is VAC2000033444.
Apply now
Closes in 16 days (Thursday 11 June 2026)
After signing in, you’ll apply for this apprenticeship on the company's website.