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Pfizer INC

Graduate Data Scientist (Pfizer Ringaskiddy)

Ireland - Cork - Ringaskiddy Posted today

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LeadershipAgileStatisticsProduct management

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No sponsorship evidence yet

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  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Can’t check pay against the visa rules
No salary stated. Ireland Critical Skills Employment Permit needs at least €40,904 a year (General Employment Permit: €36,605). Source: https://enterprise.gov.ie/en/what-we-do/workplace-and-skills/employment-permits/permit-types/critical-skills-employment-permit/, rules effective 2026-03-01.

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Before you apply

Sponsorship unknown

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About the role

Graduate Data Scientist   Ringaskiddy API site in Cork plays a critically strategic role within Pfizer, it is the global site for new small molecule API products through scale up and launch, as well as manufacture of large volume patented and off-patent medicines. One bold way we are achieving our purpose is through our company wide digital transformation strategy. We are leading the way in adopting new data, modelling and automated solutions to further digitize and accelerate drug discovery and development with the aim of enhancing health outcomes and the patient experience.   An opportunity has arisen for a Graduate Data Scientist within the Innovation & Launch Sciences (ILS) function in Ringaskiddy. This role is an exciting opportunity to help shape the delivery of the sites Digital Transformation Programme. Reporting to the Data Science Team Lead, the primary function of the Graduate Data Scientist will be to implement and deliver on the Data Science and Manufacturing Intelligence site Strategy, lead and contribute to Data Science and Data Analytics projects, identify Continuous Improvement (CI) opportunities across all site departments and support the implementation of same.   About the Graduate Programme This is an amazing opportunity to progress your career with one of the largest and most successful bio pharma organisations in the world. A significant number of graduates who have previously completed the graduate programme at the Pfizer Ringaskiddy site have gone on to have very successful careers in Pfizer both at local site and global levels. The site has a strong coaching culture, and a structured mentoring programme is provided. Full training will be provided by a comprehensive induction programme. During the two-year programme, participants will be involved in the following: • One-year induction programme • Structured mentoring & coaching – objective setting during each assignment. • Attend management training programmes. • CPD 6 module professional training programme. • Attend and present at Senior Executive meetings e.g., communications meetings, cross site teams, leadership team meetings. • Support cost improvement projects for key API manufacture processes. • Lead and support various data science business improvement projects   Why Patients Need You We rely on a team of dedicated and agile members, who understand the importance and impact of their role in Pfizer’s mission. Patients need colleagues like you who take pride in their work and always look to improve outcomes. You will help to ensure that patients and physicians have the medicines they need, when they need them.   What You Will Achieve You will develop and implement site business intelligence through data modelling, data analysis, data engineering and data science. You will support statistical activities across the site associated with investigations and continuous improvement using dat. Provide expertise in the application of analytic techniques to increasingly complex and diverse data sets. As a Graduate Data Scientist, you will be instrumental to the future of Data Science and Manufacturing Intelligence across all areas of the site, and you will develop the future capability to further accelerate our digital maturity.   How You Will Achieve It • Build on the current Data Analytical site strategy on the Ringaskiddy Digital Roadmap • Design and implementation of advanced analytical models that support business process improvements • Provide high quality data science support in the identification and implementation of Continuous Improvement opportunities in improving site performance • Collaborate with Process Centric Teams and key site stakeholders to understand the technical business applications and apply modelling techniques to improve

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