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Manufacturing data scientist

Limerick
Digital Manufacturing Ireland
Data scientist
Posted: 30 April
Offer description

OverviewAbout 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 DutiesApply ML models to optimize manufacturing processesIdentify and define high-impact manufacturing use cases that solve operational problemsTranslate shop-floor challenges into structured data and technology solutions.Develop business cases for manufacturing technology implementationsSupport configuration and optimisation of manufacturing systemsDeep understanding of manufacturing and supply chain processesPartner with commercial team to provide technical subject matter expertise during workshops and client pitchesSupport client conversations with a solution mindset, balancing technical constraints with business needsTechnical CapabilitiesStrong Python proficiency (pandas, scikit-learn, PyTorch/TensorFlow etc).Time-series modelling and anomaly detection.Statistical process controlSQL and industrial data pipelines.Familiarity with OT/IT integration (OPC UA, SCADA, PLC ingestion).Understanding of feature engineering and reusable industrial data assetsExposure to model monitoring, drift detection, and lifecycle managementKey Skills and CompetenciesMinimum 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.
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