Data Scientist Degree Apprentice - Pfizer

Join Pfizer’s Analytical R&D team as a Data Scientist Degree Apprentice. Help digitise laboratory workflows, build data pipelines and dashboards, and explore ML/AI using Python, SQL, Dataiku and Spotfire. Collaborate globally, solve scientific data challenges and work towards a BSc (Hons) in Data Science.

Analytical Research & Development (ARD) plays a vital role in the development of new medicines by providing a wide range of analytical testing to support the development, manufacture and release of materials used in clinical trials. Our scientists generate and interpret large volumes of complex data that are critical to ensuring the quality, safety and effectiveness of medicines. Supporting this work is a growing team of data science and digital specialists who develop innovative ways to manage, connect and analyse scientific data, helping to transform information into knowledge and accelerate research and development.

This apprenticeship offers a unique opportunity to work at the intersection of data, technology and science. You will gain hands-on experience supporting projects that improve how scientific data is captured, managed and utilised across a global pharmaceutical organisation. Working with scientists and business stakeholders, you will help develop digital solutions that improve efficiency, enhance data accessibility and support better decision-making.

You will be exposed to a range of analytics and visualisation tools including Dataiku, Spotfire and Python-based data science toolkits, alongside industry-leading laboratory and analytics platforms, including BIOVIA OneLab, Empower, LabWare LIMS, and OpenLab.

The role will provide experience in data management, analytics, automation and business analysis, while also offering opportunities to explore emerging applications of artificial intelligence and machine learning within scientific and operational environments.

A key focus of the team is helping scientists digitise and standardise their workflows, ensuring data can be efficiently collected, analysed and reused. This provides an opportunity to gain experience understanding business processes, identifying improvement opportunities and translating user needs into practical data-driven solutions.

As part of a collaborative and fast-paced environment, you will be encouraged to contribute ideas, take ownership of your development and communicate your work to both technical and non-technical audiences. You will work with colleagues across the UK, United States, Ireland, India and other global locations, developing both technical expertise and professional skills within an international organisation.

This apprenticeship provides an excellent foundation for a career in data science, analytics, informatics or digital technology, combining real-world experience, modern technologies and the opportunity to contribute to work that supports the development of medicines that improve patients' lives worldwide.

Job Responsibilities

Main Duties include:

• Provide data science support as ARD Digital Transformation team partners with GMP-Analytics, Drug Substance (API) and Drug Product (DPA), and Degradation Science and Structural Elucidation (DSSE) teams to digitise laboratory workflows.
• Partner with Data Science teams in partnering lines to make best use of their expertise in enterprise platform systems, and look for opportunities to apply their technology implementations in ARD.
• Develop a good understanding of how ARD interacts with the wider PSSM environment.
• Assist to frame, investigate, translate complex data related models, and answer key business questions related to the identification and evaluation of scientific dataflows and datasets.
• Assist in the creation of dashboards, reports, visualisations and analytical tools that support decision-making and generate insights from scientific and operational data.
• Communicate project progress, findings and recommendations to both technical and non-technical stakeholders, contributing to a culture of continuous improvement and innovation.

• Communication skills
• IT skills
• Attention to detail
• Organisation skills
• Customer care skills
• Problem solving skills
• Analytical skills
• Logical
• Team working
• Creative

• 5 GCSE's including Maths, Science and English GCSE, grade 5/C or above (Essential)
• 2 or more A-Levels, including Maths and Statistics A Level, grade BBC or above with B in Maths (Essential)