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Data Scientist (A&V) Degree Apprentice – Pfizer

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Vacancy Description

The A&V Apprentice will play a pivotal role in enhancing operational efficiency within the team by maintaining dashboards and databases, triaging communications and ensuring signoff and archiving of materials. The apprentice will learn to track metrics and insights to inform decision makers and present them in appealing and meaningful ways. Over time, the A&V apprentice will gain experience in programming languages and online tools to automate traditionally manual tasks, leveraging AI and machine learning techniques to streamline processes and improve efficiency.
Candidates should be adept at juggling multiple projects and have a talent for translating data outputs into compelling narratives and actionable insights. They must be able to work autonomously while taking responsibility for the quality and accuracy of their work, all within a collaborative team environment that values support and knowledge sharing. The apprenticeship will begin with foundational training in health economics, essential for understanding the value assessment of medicines and vaccines through Health Technology Assessments (HTA). The apprentice will then explore existing online tools for sourcing, accessing, manipulating, and interpreting datasets, with the expectation of enhancing these tools and applying them to conduct their own analytics.
Key Details

Vacancy Title

Data Scientist (A&V) Degree Apprentice – Pfizer
Employer Description

Our apprenticeship and graduate services have been supporting science industry employers to attract, retain and develop people who can contribute to business success since 2012.
Vacancy Location

Pfizer Ltd Walton Oaks Tadworth, Surrey KT20 7NS
Wage Frequency

Custom
Number of Vacancies

1
Vacancy Reference Number

1000296862
Key Dates

Apply From

24/01/2025
Closing Date For Applications

2025-02-16 23:59:59
Interview Begin From

Possible Start Date

2025-09-01 00:00:00
Training

Training to be Provided

Block release to Nottingham University
Learning Provider

UNIVERSITY OF NOTTINGHAM, THE
Contact Details

Caroline Lees
Vacancy Type:

Skills Required

Communication skills, Attention to detail, Organisation skills, Problem solving skills, Presentation skills, Administrative skills, Number skills, Analytical skills, Logical thinking, Team working, Initiative.
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