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Industrial Digitization Analyst

Neo Performance Materials · Commune de Sillamäe

New
🇬🇧 English
Python

Job description

About the role

Neo is seeking an Industrial Digitization Analyst who combines a strong foundation in chemical or process engineering with a passion for data, digital technologies, and continuous improvement. The role sits at the intersection of manufacturing, advanced analytics, and AI, helping improve productivity, quality, sustainability, and operational performance across global operations.

Key responsibilities

  • Mapping and documenting chemical and manufacturing processes across existing and future operations.
  • Connecting operational, laboratory, quality, maintenance, and production data to critical process steps.
  • Identifying opportunities where AI, machine learning, and advanced analytics can improve product quality, process yield, throughput, reliability, energy efficiency, water and chemical consumption.
  • Assessing data readiness and determining suitability for predictive analytics or AI modelling.
  • Performing exploratory data analysis and developing prototype models using Python.
  • Supporting pilot projects and technology implementations alongside Process Engineers, Data Scientists, Operations, and IT teams.
  • Translating complex process knowledge into actionable analytical requirements.
  • Contributing to Neo's long‑term digital manufacturing and digital twin strategy.

Required profile

  • Bachelor’s degree in chemical engineering or a related discipline.
  • 2–4 years of experience in process engineering, manufacturing, process development, or industrial operations.
  • Working knowledge of Python for data analysis and visualization.
  • Understanding of statistics, data analytics, and machine‑learning fundamentals.
  • Demonstrated interest in digitalization, analytics, AI, or industrial data science.

Required skills

  • Python programming.

What we offer

  • Accelerate your career by working at the intersection of manufacturing and AI.
  • Learn directly from experienced Data Scientists, Process Engineers, and Technology Leaders.
  • Make a visible impact on production performance, sustainability, and digital transformation initiatives.

Questions fréquentes

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Published 8 hours ago

Expires 1 month from now

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Neo Performance Materials

Commune de Sillamäe