Senior Data Scientist
Abbott Laboratories
- Location
- Ireland - Sligo
- Work model
- On-Site
- Level
- Senior
- H-1B history
- 28 approvals (FY2023)
- Posted
- Sep 4, 2026
Skills
About this role
JOB DESCRIPTION
About Abbott Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritional's and branded generic medicines. Our 122,000 colleagues serve people in more than 160 countries. Abbott in Ireland Abbott has maintained a strong presence in Ireland since 1946 and celebrates its 80th anniversary in the country in 2026. The company supports the Irish healthcare sector with a broad portfolio spanning diagnostics, diabetes care, medical devices and nutritional products. Today, Abbott employs more than 6,500 people across ten sites located in Dublin, Donegal, Clonmel, Cootehill, Galway, Kilkenny, Longford and Sligo. Please note any offer of employment for this position is conditional upon the successful completion of a pre-employment medical examination, including drug and alcohol screening, conducted by a medical practitioner designated by the Company. Join Our Digital, Data & AI Team in Abbott Sligo Shape the future of Life Sciences through Data, Digital Innovation, and Artificial Intelligence. We're growing our Digital, Data & AI team in Sligo and are seeking talented professionals who combine strong technical expertise with a deep understanding of the Life Sciences industry. This is an exciting opportunity to work at the intersection of biotechnology, pharmaceuticals, manufacturing, data, and emerging technologies. You'll play a key role in driving digital transformation initiatives that enhance operational excellence, improve decision-making, accelerate innovation, and deliver meaningful business outcomes. We're particularly interested in candidates who bring experience from pharmaceutical, biotechnology, medical device, or other regulated Life Sciences environments and are passionate about leveraging data and AI to solve complex challenges. At Abbott Diabetes Care we develop and manufacture leading-edge technologies that help people manage diabetes more effectively. As we continue to expand our digital and data capabilities, we are seeking a Senior Data Engineer to join our team in Sligo and play a key role in advancing our Data, AI & Analytics strategy. Purpose of the Role As a Senior Data Scientist , you will lead the development and implementation of advanced analytics, machine learning, and AI-driven solutions that deliver measurable business value across Abbott Diabetes Care. Working at the intersection of business, technology, and data, you will partner with stakeholders to identify opportunities, solve complex business challenges, and drive data-informed decision making. You will play a key role in shaping advanced analytics strategies while delivering innovative solutions that improve operational performance and business outcomes. This is a unique opportunity to shape and build foundational data capabilities from the ground up. The successful candidate will establish and embed standard work, create and maintain SOPs, and develop scalable end-to-end processes that support consistent, high-quality data management across the organisation. Through these efforts, you will play a key role in enabling Abbott's Data, AI & Analytics strategy, driving the adoption of advanced analytics, AI, self-service reporting, and business intelligence solutions. Flexibility in working hours is required to support collaboration across global teams and business priorities.
Key Responsibilities
Analytics & AI Strategy Identify, prioritise, and deliver advanced analytics, machine learning, and AI initiatives aligned to strategic business objectives. Partner with business stakeholders to identify opportunities where analytics and AI can deliver measurable business value. Define analytical approaches and success metrics that align with business outcomes. Influence decision-making through actionable insights,