Manufacturing Data Scientist
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About the Role
About Digital Manufacturing Ireland (DMI)
Digital Manufacturing Ireland (DMI) is an industry-led organisation, supported by the Government of Ireland through IDA Ireland. Launched in 2023, DMI enables Irish-based manufacturers to access, adopt, and accelerate new digital technologies—solving real-world challenges and driving future competitiveness.
DMI offers a state-of-the-art physical and digital factory, a vendor showcase, industry collaboration spaces, and training facilities. The DMI facility brings together technology, expertise, and business support to help manufacturing companies transform, innovate, and future-proof their operations.
Key Responsibilities and Duties:
- Apply ML models to optimize manufacturing processes.
- Identify and define high-impact manufacturing use cases that solve operational problems.
- Translate shop-floor challenges into structured data and technology solutions.
- Develop business cases for manufacturing technology implementations.
- Support configuration and optimisation of manufacturing systems
- Deep understanding of manufacturing and supply chain processes
- Partner with commercial team to provide technical subject matter expertise during workshops and client pitches.
- Support client conversations with a solution mindset, balancing technical constraints with business needs.
Technical Capabilities
- Strong Python proficiency (pandas, scikit-learn, PyTorch/TensorFlow etc).
- Time-series modelling and anomaly detection.
- Statistical process control .
- SQL and industrial data pipelines.
- Familiarity with OT/IT integration (OPC UA, SCADA, PLC ingestion).
- Understanding of feature engineering and reusable industrial data assets
- Exposure to model monitoring, drift detection, and lifecycle management
Key Skills and Competencies:
Minimum 3+ years' experience in a manufacturing environment.- Experience in Life Sciences, Pharma, MedTech, or Biotech strongly preferred.
- Experience working with MES, historians, PLC data, and shop-floor systems.
- Experience in predictive maintenance, anomaly detection, quality analytics, or production optimisation.
Education:
- Bachelor’s Degree preferred
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