OverviewAbbott is a global healthcare leader with a portfolio spanning diagnostics, medical devices, nutritional products, and branded generic medicines. Our 113,000 colleagues operate in more than 160 countries. In Ireland, Abbott employs over 5,000 people across nine sites with manufacturing facilities in Clonmel, Cootehill, Donegal, Longford and Sligo, and a third‑party manufacturing management operation in Sligo. We have commercial, support operations and shared services in Dublin and Galway. The Diabetes Care Kilkenny facility is a centre for world‑class engineering, quality, medical device manufacturing, and other science‑based professionals to produce life‑changing technologies for people with diabetes.At Abbott Kilkenny, you can shape your career as you help shape the future of healthcare.What You’ll DoWe currently have a requirement for a Data Scientist to join our New Abbott Diabetes Care Kilkenny site. The following is required for this role:Provide real-time data analysis to support manufacturing operations—helping optimize processes, improve material performance, and enhance yield.Develop documentation that maps critical quality attributes to manufacturing systems, ensuring traceability and compliance.Maintain and enhance our Manufacturing Execution System (POMS), including database schemas, reports, and recipe configurations.Collaborate cross-functionally with QA, Engineering, R&D, Regulatory Affairs, and Purchasing to ensure timely and effective execution of initiatives.Support site-wide reporting, including monthly metrics and quarterly product quality monitoring.Independently explore and analyze large, complex datasets to uncover insights and support investigations.Translate statistical findings into actionable business strategies.Lead projects to advance statistical methodologies and contribute to the site’s data strategy.Provide mentorship and consulting on statistical tools and data analysis to junior analysts and engineers.Build automated solutions to streamline reporting and analysis.Communicate complex statistical results in a clear, compelling way to non-technical audiences.Education And ExperienceA degree in a quantitative field (e.g., Mathematics, Data Science, Statistics, Biostatistics) or equivalent industry experience.Experience with relational databases (Oracle, MySQL, Microsoft Access, etc.).Proficiency in programming languages such as Python, Java, Scala, C++, and R in Linux/Unix environments.Familiarity with statistical software like JMP or SAS is a plus—training will be provided if needed.Strong foundation in statistical concepts including hypothesis testing, regression analysis, time series, and SPC.A strategic mindset with the ability to apply analytics in a business context.Experience in manufacturing or working with Manufacturing Execution Systems is beneficial but not essential.Excellent communication skills and a collaborative approach to problem-solving.What We OfferAttractive compensation package that includes competitive pay and benefits such as:Family health insuranceExcellent pension schemeLife assuranceCareer DevelopmentFantastic new facilityGrowing business plus access to many more benefitsConnect with us at www.abbott.com and on LinkedIn, Facebook, Instagram, X and YouTube.Abbott is an equal opportunities employer.
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