Overview
Have you ever wanted to make a difference?
Abbott is a global healthcare leader with a portfolio spanning diagnostics, medical devices, nutritional products and branded generic medicines.
Our 113,000 colleagues impact the lives of people in more than 160 countries.
Abbott Ireland
In Ireland, Abbott employs over 5,000 people across nine sites.
We have six manufacturing facilities located in Clonmel, Cootehill, Donegal, Longford and Sligo and a third-party manufacturing management operation in Sligo.
Abbott also has commercial, support operations and shared services in Dublin and Galway.
We have been making a difference in the lives of Irish people since 1946.
Diabetes Care Kilkenny
Our new manufacturing facility in Kilkenny reflects the growing demand for Abbott\'s global Diabetes Care products.
The facility will be a centre for world class engineering, quality, medical device manufacturing, and other science-based professionals to produce life-changing technologies that enable people with diabetes to live the best and fullest lives they can.
At Abbott in Kilkenny, you can shape your career as you help shape the future of healthcare.
This is how you can make a difference at Abbott:
We currently have a requirement for a Data Scientist to join our New Abbott Diabetes Care Kilkenny site.
The following is required for this role:
What You'll Do
As a key member of our team, you'll:
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 Experience:
A 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 Offer
Attractive compensation package that includes competitive pay, as well as benefits such as
Family health insurance
Excellent pension scheme
Life assurance
Career Development
Fantastic new facility
Growing business plus access to many more benefits.
Connect with us on company channels such as LinkedIn, Facebook, Instagram, X and YouTube.
Abbott is an equal opportunities employer.
Abbott is an equal opportunities employer.
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