{"id":201890,"url":"https://alion.io/job/abbott-laboratories-senior-data-scientist","title":"Senior Data Scientist","company":{"id":2710,"name":"Abbott","domain":"abbott.com","url":"https://alion.io/company/abbott","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":88,"open_postings":396,"ghost_share":0.003,"stale_share":0.664,"repost_share":0.025,"time_to_fill_p50_days":14,"computed_at":"2026-10-27T05:46:45Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Sligo, Ireland"],"countries":["IE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":72000,"max_usd":149000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":8},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"21 CFR Part 11","optional":false},{"name":"AWS","optional":false},{"name":"Databricks","optional":false},{"name":"Machine Learning","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-09-04T16:05:51Z","employer_posted_date":"2026-09-04","last_verified_at":"2026-10-28T00:17:10Z","board_verified":true,"closed_at":null,"days_open":53,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":53},"description":"JOB DESCRIPTION:\nAbout Abbott\nAbbott 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.\nAbbott in Ireland\nAbbott 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.\nPlease 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.\nJoin Our Digital, Data & AI Team in Abbott Sligo\nShape the future of Life Sciences through Data, Digital Innovation, and Artificial Intelligence.\nWe'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.\nThis 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.\nWe'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.\nAt 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.\nPurpose of the Role\nAs 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.\nWorking 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.\nThis 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.\nFlexibility in working hours is required to support collaboration across global teams and business priorities.\nKey Responsibilities\nAnalytics & AI Strategy\nIdentify, prioritise, and deliver advanced analytics, machine learning, and AI initiatives aligned to strategic business objectives.\n\nPartner with business stakeholders to identify opportunities where analytics and AI can deliver measurable business value.\n\nDefine analytical approaches and success metrics that align with business outcomes.\n\nInfluence decision-making through actionable insights, predictive analytics, and evidence-based recommendations.\n\nSupport development of Abbott ADC AI and advanced analytics roadmap.\n\nData Science & Advanced Analytics\nDesign, develop, deploy, and optimise machine learning models, predictive algorithms, and advanced analytical solutions.\n\nApply statistical techniques, forecasting, optimisation, simulation, and machine learning methods to solve complex business problems.\n\nDevelop scalable analytical approaches using structured and unstructured data.\n\nValidate analytical models to ensure accuracy, robustness, explainability, and business relevance.\n\nSupport industrialisation and operationalisation of analytical solutions in partnership with Data Engineering teams.\n\nBusiness Partnership & Value Realisation\nCollaborate with business leaders and SMEs to understand challenges, opportunities, and priorities.\n\nTranslate complex analytical findings into clear business recommendations and actions.\n\nPresent insights, risks, opportunities, and value realization outcomes to stakeholders at multiple levels.\n\nChallenge assumptions and facilitate data-driven decision-making.\n\nDefine and measure business impact resulting from analytics and AI initiatives.\n\nResponsible AI & Governance\nPromote responsible, ethical, and compliant use of analytics and AI technologies.\n\nEnsure analytical solutions align with Abbott's governance, quality, security, privacy, and regulatory requirements.\n\nPartner with Data Governance and Data Product teams to establish trusted analytical data foundations.\n\nSupport model governance, monitoring, and lifecycle management practices.\n\nCommunicate model assumptions, limitations, and risks transparently.\n\nInnovation, Data Literacy & Continuous Improvement\nStay current with emerging developments in AI, Generative AI, machine learning, and advanced analytics.\n\nEvaluate new tools, technologies, and methodologies that can improve business outcomes.\n\nShare knowledge and mentor team members on analytical best practices.\n\nHelp build organisational data literacy by promoting understanding and adoption of analytics and AI capabilities.\n\nChampion innovation and continuous improvement across Abbott's Data, AI & Analytics ecosystem.\n\nEducation & Experience\nEssential\nBachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Analytics, or a related discipline.\n\nProven experience delivering Data Science, Machine Learning, AI, and Advanced Analytics solutions that drive measurable business outcomes.\n\nStrong hands-on experience with Databricks, AWS, Python, SQL, and modern cloud-based analytics platforms.\n\nExpertise in statistical modelling, predictive analytics, model lifecycle management, and deploying AI/ML solutions into production.\n\nStrong understanding of Data Governance, Data Quality, Model Governance, and Responsible AI frameworks.\n\nExperience 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.\n\nExcellent stakeholder management, influencing, and executive communication skills.\n\nPreferred\nMaster's degree or PhD in a relevant field.\n\nExperience with Generative AI, Large Language Models (LLMs), RAG architectures, intelligent automation, and emerging AI technologies.\n\nExperience working with operational, manufacturing, supply chain, or healthcare datasets.\n\nExpertise in data visualisation and storytelling using tools such as Power BI, Tableau, or AWS QuickSight.\n\nFamiliarity with Oracle enterprise data environments and large-scale cloud data ecosystems.\n\nKey Technologies\nAWS\nDatabricks\nPython\nSQL\nOracle\nPower BI\nTableau\nAI/ML Platforms\nData Governance Tools\nWhat we Offer\nAttractive compensation package that includes competitive pay, as well as benefits such as\nFamily health insurance,\n\nExcellent pension scheme\n\nLife assurance\n\nCareer Development\n\nGrowing business plus access to many more benefits.\n\nConnect 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.\nAbbott is an equal opportunities employer.\nThe base pay for this position is\nN/AIn specific locations, the pay range may vary from the range posted.\nJOB FAMILY:\nOperations QualityDIVISION:\nADC Diabetes CareLOCATION:\nIreland > Sligo : Castle StreetADDITIONAL LOCATIONS:\nWORK SHIFT:\nIe - Dl39S9 (Ireland)TRAVEL:\nYes, 10 % of the TimeMEDICAL SURVEILLANCE:\nYesSIGNIFICANT WORK ACTIVITIES:\nNot Applicable","description_format":"text","description_chars":8539,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":["Health insurance"],"hiring_locations":[{"name":"Ireland","iso":"IE","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Biotechnology","Prescription 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