
AI Data Scientist
Teleflex
full-time
Posted on:
Location Type: Hybrid
Location: Athlone • Ireland
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About the role
- AI Integration: Design and deploy LLM-based solutions that allow users to query enterprise reports (Power BI/Tableau) using natural language.
- Predictive Modelling: Develop and maintain machine learning models to optimize global operations across Supply Chain, Manufacturing, and Finance.
- Advanced Analytics: Translate complex business problems into mathematical frameworks to drive efficiency in Procurement, Regulatory, and Quality functions.
- Insight Automation: Build "Drill-Through" AI logic that enables non-technical users to move from high-level KPIs to root-cause analysis via conversational interfaces.
- Data Storytelling: Create and enhance sophisticated dashboards in Power BI and Tableau, ensuring data integrity and user-centric design.
- Cross-Functional Collaboration: Act as a bridge between the Enterprise Analytics team and global functional leads to identify opportunities for AI-driven automation.
- Facilitate quarterly standards review with cross-functional stakeholders.
- Build cascading meeting network (weekly service/monthly supply) to embed behaviours and sustain outcomes.
Requirements
- Minimum: Bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, or a related quantitative field.
- Preferred: Master’s or PhD in a specialized AI/Machine Learning discipline or an MBA with a heavy focus on Business Analytics.
- Technical Stack: Expert-level proficiency in Python (specifically libraries like Pandas, Scikit-learn, NLP and PyTorch/TensorFlow).
- Generative AI: Proven experience with LLM frameworks (e.g., LangChain, LlamaIndex) and API integration (OpenAI, Anthropic, or open-source models).
- Visualization: Advanced skills in Power BI and/or Tableau, including DAX or Tableau Calculation language.
- Functional Expertise: 3+ years of experience performing analytics within Supply Chain, Manufacturing, Finance, or Commercial environments.
- Data Plumbing: Strong SQL skills and a deep understanding of data modelling.
- Nice to have: Prior experience with SAP (ERP) data structures is highly desirable.
- Excel Mastery: Ability to manipulate and validate data in Excel for rapid prototyping.
Benefits
- Flexible work arrangements
- Professional development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonPandasScikit-learnNLPPyTorchTensorFlowSQLDAXTableau Calculation languageMachine Learning
Soft Skills
Cross-Functional CollaborationData StorytellingCommunicationProblem SolvingFacilitation