Manufacturing Data Scientist

Manufacturing Data Scientist Code: this position

Permanent (Full-Time) Limerick/Hybrid Hybrid

Company Information and Introduction

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.