Commercial Data and Analytics (Level 7) Apprentice - Pfizer
Cogent Ssc Limited
Tadworth, Surrey (KT20 7NS)
Closes in 17 days (Thursday 7 August 2025)
Posted on 18 July 2025
Contents
Summary
If data is your passion, Pfizer is looking to recruit a Data & Analytics Specialist apprentice. You will support the team collect, study and interpret data in order to produce valuable insights for each of our brands (in market and pipeline).
- Wage
-
£28,440 a year
- Training course
- Artificial intelligence (AI) data specialist (level 7)
- Hours
-
Monday to Thursday, 9am - 5.25pm with 45-minute lunch break. Fridays, 9am - 4.05pm with 45-minute lunch break
37 hours a week
- Start date
-
Monday 1 September 2025
- Duration
-
1 year 9 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
If data is your passion, Pfizer is looking to recruit a Data & Analytics Specialist apprentice. You will support the team collect, study and interpret data in order to produce valuable insights for each of our brands (in market and pipeline).
Job Responsibilities:
As a function in the Global Commercial Analytics (GCA) division within Pfizer, Integrated Insights & Strategy plays a critical role to enable Pfizer’s commercial brand strategy. This team functions as internal consultants and brand strategists that partner with commercial and cross-functional leaders, activating data driven problem solving in a way that the business can execute to drive impact and unlock value.
The UK IIS Team truly believe that everything starts with “why”. With this in mind we are partnering with the commercial functions to collect, study and interpret data in order to produce valuable insights for each of our brands (in market and pipeline). To do that in a meaningful and impactful way we need agile minds driven by curiosity. Our mission is to deliver Analytics that drive Actions through connecting our technical skills with business acumen to craft the recommendations that will enable our goals as Pfizer UK. Working in IIS means having visibility of a variety of data, brands, projects, and campaigns across the UK business. The UK ISS Team focusses on asking the right questions, supporting and guiding business decisions and establishing optimum ways of tracking performance.
The CD&AS role within IIS will be responsible for working within one business unit in partnership with the aligned IIS manager to collectively enable data-driven decision-making through the creation and maintenance an analytics ecosystem. This will include, but not be limited to, business performance management reporting and visualisation, resource optimization analytics, sub-national/account-level opportunity mapping, analytics innovation, advanced modelling execution and partnership with the brands on strategic analytical priorities.
The role will be accountable for:
Market and Brand Analytics:
- Support and execution of analytics reporting, including secondary data analysis, advanced analytics/data science, and modelling
- Execution of customer analytics, segmentation and targeting, promotional resource allocation, field force sizing, omnichannel analysis, etc.
- Effectively collaborate on the delivery of advanced analytics including predictive modelling, data science and machine learning, as needed
- Seek continuous improvement, including identification of new capabilities and/or data to maximize Pfizer’s competitive advantage
Performance Management/Forecasting/Operating Plan Support:
- Monitor portfolio performance and deliver accurate and effective performance measurement solutions are built and maintained
- Monitor the external marketplace/competitive landscape and ensure clear insights are driving commercial decisions
- Support data modelling and forecasting needs, including for LRF and operating plans.
Primary Market Research Management:
- Support PMR execution and identify opportunities to elevate PMR data to enrich secondary analytics and/or execute innovative uses of existing data
- Accountable for meeting compliance and corporate SOP obligations of primary market research as relevant
Cross Functional Collaboration + Capability Creation:
- Contribute to the advancement of GCA capabilities and enable the scaling of those capabilities across UK and/or IDM
- Facilitate best practice sharing and knowledge management
- Enrol and educate commercial counterparts to utilise the correct analytical tools and drive recommendation adoption
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
CAMBRIDGE SPARK LIMITED
Training course
Artificial intelligence (AI) data specialist (level 7)
Understanding apprenticeship levels (opens in new tab)
What you'll learn
Course contents
- Use applied research and data modelling to design and refine the database & storage architectures to deliver secure, stable and scalable data products to the business
- Independently analyse test data, interpret results and evaluate the suitability of proposed solutions, considering current and future business requirements
- Critically evaluate arguments, assumptions, abstract concepts and data (that may be incomplete), to make recommendations and to enable a business solution or range of solutions to be achieved
- Communicate concepts and present in a manner appropriate to diverse audiences, adapting communication techniques accordingly
- Manage expectations and present user research insight, proposed solutions and/or test findings to clients and stakeholders.
- Provide direction and technical guidance for the business with regard to AI and data science opportunities
- Work autonomously and interact effectively within wide, multidisciplinary teams
- Coordinate, negotiate with and manage expectations of diverse stakeholders suppliers with conflicting priorities, interests and timescales
- Manipulate, analyse and visualise complex datasets
- Select datasets and methodologies most appropriate to the business problem
- Apply aspects of advanced maths and statistics relevant to AI and data science that deliver business outcomes
- Consider the associated regulatory, legal, ethical and governance issues when evaluating choices at each stage of the data process
- Identify appropriate resources and architectures for solving a computational problem within the workplace
- Work collaboratively with software engineers to ensure suitable testing and documentation processes are implemented.
- Develop, build and maintain the services and platforms that deliver AI and data science
- Define requirements for, and supervise implementation of, and use data management infrastructure, including enterprise, private and public cloud resources and services
- Consistently implement data curation and data quality controls
- Develop tools that visualise data systems and structures for monitoring and performance
- Use scalable infrastructures, high performance networks, infrastructure and services management and operation to generate effective business solutions.
- Design efficient algorithms for accessing and analysing large amounts of data, including Application Programming Interfaces (API) to different databases and data sets
- Identify and quantify different kinds of uncertainty in the outputs of data collection, experiments and analyses
- Apply scientific methods in a systematic process through experimental design, exploratory data analysis and hypothesis testing to facilitate business decision making
- Disseminate AI and data science practices across departments and in industry, promoting professional development and use of best practice
- Apply research methodology and project management techniques appropriate to the organisation and products
- Select and use programming languages and tools, and follow appropriate software development practices
- Select and apply the most effective/appropriate AI and data science techniques to solve complex business problems
- Analyse information, frame questions and conduct discussions with subject matter experts and assess existing data to scope new AI and data science requirements
- Undertakes independent, impartial decision-making respecting the opinions and views of others in complex, unpredictable and changing circumstances
- Use applied research and data modelling to design and refine the database & storage architectures to deliver secure, stable and scalable data products to the business
- Independently analyse test data, interpret results and evaluate the suitability of proposed solutions, considering current and future business requirements
- Critically evaluate arguments, assumptions, abstract concepts and data (that may be incomplete), to make recommendations and to enable a business solution or range of solutions to be achieved
- Communicate concepts and present in a manner appropriate to diverse audiences, adapting communication techniques accordingly
- Manage expectations and present user research insight, proposed solutions and/or test findings to clients and stakeholders.
- Provide direction and technical guidance for the business with regard to AI and data science opportunities
- Work autonomously and interact effectively within wide, multidisciplinary teams
- Coordinate, negotiate with and manage expectations of diverse stakeholders suppliers with conflicting priorities, interests and timescales
- Manipulate, analyse and visualise complex datasets
- Select datasets and methodologies most appropriate to the business problem
- Apply aspects of advanced maths and statistics relevant to AI and data science that deliver business outcomes
- Consider the associated regulatory, legal, ethical and governance issues when evaluating choices at each stage of the data process
- Identify appropriate resources and architectures for solving a computational problem within the workplace
- Work collaboratively with software engineers to ensure suitable testing and documentation processes are implemented.
- Develop, build and maintain the services and platforms that deliver AI and data science
- Define requirements for, and supervise implementation of, and use data management infrastructure, including enterprise, private and public cloud resources and services
- Consistently implement data curation and data quality controls
- Develop tools that visualise data systems and structures for monitoring and performance
- Use scalable infrastructures, high performance networks, infrastructure and services management and operation to generate effective business solutions.
- Design efficient algorithms for accessing and analysing large amounts of data, including Application Programming Interfaces (API) to different databases and data sets
- Identify and quantify different kinds of uncertainty in the outputs of data collection, experiments and analyses
- Apply scientific methods in a systematic process through experimental design, exploratory data analysis and hypothesis testing to facilitate business decision making
- Disseminate AI and data science practices across departments and in industry, promoting professional development and use of best practice
- Apply research methodology and project management techniques appropriate to the organisation and products
- Select and use programming languages and tools, and follow appropriate software development practices
- Select and apply the most effective/appropriate AI and data science techniques to solve complex business problems
- Analyse information, frame questions and conduct discussions with subject matter experts and assess existing data to scope new AI and data science requirements
- Undertakes independent, impartial decision-making respecting the opinions and views of others in complex, unpredictable and changing circumstances
Training schedule
- Artificial Intelligence (AI) Data Specialist Level 7
- Training will be completed online
Requirements
Essential qualifications
GCSE in:
Degree 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
- Problem solving skills
- Analytical skills
- Logical
- Creative
- Proficient in using Python
Other requirements
To be considered you must have a level of proficiency in Python.
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.
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.
- Integrated Insights & Strategy Manager role
- Data Science Manager role
Ask a question
The contact for this apprenticeship is:
CAMBRIDGE SPARK LIMITED
The reference code for this apprenticeship is VAC1000332622.
Apply now
Closes in 17 days (Thursday 7 August 2025)
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