Senior Data Scientist
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, predictive analytics, and evidence-based recommendations.
Support development of Abbott ADC AI and advanced analytics roadmap.
Data Science & Advanced Analytics
Design, develop, deploy, and optimise machine learning models, predictive algorithms, and advanced analytical solutions.
Apply statistical techniques, forecasting, optimisation, simulation, and machine learning methods to solve complex business problems.
Develop scalable analytical approaches using structured and unstructured data.
Validate analytical models to ensure accuracy, robustness, explainability, and business relevance.
Support industrialisation and operationalisation of analytical solutions in partnership with Data Engineering teams.
Business Partnership & Value Realisation
Collaborate with business leaders and SMEs to understand challenges, opportunities, and priorities.
Translate complex analytical findings into clear business recommendations and actions.
Present insights, risks, opportunities, and value realization outcomes to stakeholders at multiple levels.
Challenge assumptions and facilitate data-driven decision-making.
Define and measure business impact resulting from analytics and AI initiatives.
Responsible AI & Governance
Promote responsible, ethical, and compliant use of analytics and AI technologies.
Ensure analytical solutions align with Abbott's governance, quality, security, privacy, and regulatory requirements.
Partner with Data Governance and Data Product teams to establish trusted analytical data foundations.
Support model governance, monitoring, and lifecycle management practices.
Communicate model assumptions, limitations, and risks transparently.
Innovation, Data Literacy & Continuous Improvement
Stay current with emerging developments in AI, Generative AI, machine learning, and advanced analytics.
Evaluate new tools, technologies, and methodologies that can improve business outcomes.
Share knowledge and mentor team members on analytical best practices.
Help build organisational data literacy by promoting understanding and adoption of analytics and AI capabilities.
Champion innovation and continuous improvement across Abbott's Data, AI & Analytics ecosystem.
Education & Experience
Essential
Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Analytics, or a related discipline.
Proven experience delivering Data Science, Machine Learning, AI, and Advanced Analytics solutions that drive measurable business outcomes.
Strong hands-on experience with Databricks, AWS, Python, SQL, and modern cloud-based analytics platforms.
Expertise in statistical modelling, predictive analytics, model lifecycle management, and deploying AI/ML solutions into production.
Strong understanding of Data Governance, Data Quality, Model Governance, and Responsible AI frameworks.
Experience working within regulated Life Sciences, Pharmaceutical, Medical Device, Biotechnology, or Healthcare environments, with knowledge of GxP, CSV, FDA 21 CFR Part 11, EU Annex 11, ALCOA+, and Quality Management Systems.
Excellent stakeholder management, influencing, and executive communication skills.
Preferred
Master's degree or PhD in a relevant field.
Experience with Generative AI, Large Language Models (LLMs), RAG architectures, intelligent automation, and emerging AI technologies.
Experience working with operational, manufacturing, supply chain, or healthcare datasets.
Expertise in data visualisation and storytelling using tools such as Power BI, Tableau, or AWS QuickSight.
Familiarity with Oracle enterprise data environments and large-scale cloud data ecosystems.
Key Technologies
AWS
- Databricks
- Python
- SQL
- Oracle
- Power BI
- Tableau
- AI/ML Platforms
- Data Governance Tools
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
Growing business plus access to many more benefits.
Connect with us at www.abbott.com or https://www.ie.abbott/, on LinkedIn at www.linkedin.com/company/abbott-/, on Facebook at www.facebook.com/Abbott and on Twitter @AbbottNews.
Abbott is an equal opportunities employer.
The base pay for this position is
N/AIn specific locations, the pay range may vary from the range posted.