Global R&D Data Scientist — Industrial Analytics

Corbion; Nederland; Hybrid; EUR 85,000 - 110,000; Full time

Job summary

Corbion is seeking a Global R&D Data Scientist to join its team in a hybrid role based in Gorinchem, NL. You will transform complex manufacturing, lab, and business data into actionable insights to improve product quality, process performance, yield, and decision-making.

The role spans exploratory analysis to predictive and prescriptive modelling, collaborating across countries and functions. You will help enable data-driven decisions and advanced analytics across global locations.

Qualifications

• Master’s degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, Chemistry, Chemical Engineering, or another STEM field; PhD welcome; bachelor’s with significant industry experience considered.
• Several years of industrial data science experience.
• Experience with manufacturing or process data and affinity with process manufacturing, chemistry, biochemistry, fermentation, or related field.
• Strong Python proficiency and ability to build, evaluate, explain, and improve ML models.
• Solid understanding of statistical principles behind ML and ability to justify model choice.
• Experience using ML or advanced statistics to solve real problems and create value.
• Experience with data preparation, EDA, feature engineering, predictive modelling, and model evaluation.
• Ability to work with complex data from multiple sources/frequencies (sensor, lab, process, metadata).
• Experience with Power BI for visualization and reporting.
• Strong analytical and problem-solving skills with a business-focused mindset.
• Excellent communication to translate complex findings for non-technical stakeholders.
• Ability to manage multiple projects independently and work in cross-functional teams.
• Collaborative mindset for international teams.

Responsibilities

• Use analytics, statistics, ML, and AI to deliver insights with measurable business impact across manufacturing, innovation, and commercial activities.
• Analyze large, high-frequency plant and sensor data, lab results, and metadata.
• Prepare imperfect real-world datasets through cleaning, preprocessing, and feature engineering.
• Develop predictive models for product quality, process monitoring, and performance improvement.
• Apply prescriptive analytics to identify optimal process conditions and recipe settings.
• Provide statistical consulting on experimental design, interpretation, and modelling.
• Translate questions into analytical problems and scalable data solutions.
• Communicate findings via recommendations, visuals, and reports for diverse stakeholders.
• Create data visualizations and reporting using tools like Power BI.
• Collaborate with cross-functional and international teams to drive digitalization and data-driven decisions across locations.
• Explore and pilot innovative ML/AI solutions while considering data quality and statistical foundations.
• Promote best practices in coding, documentation, and model development.
• Support capability building through training and workshops.
• Contribute to evolving data-science capabilities within Corbion.

Skills

Python

Machine learning

Data analysis

Communication

Education

Master's degree or PhD in a relevant STEM field

Bachelor's with substantial industry experience

Tools

Power BI

SQL

Azure

Job description

Corbion is seeking a Global R&D Data Scientist to join its team in a hybrid role based in Gorinchem, NL. You will transform complex manufacturing, lab, and business data into actionable insights to improve product quality, process performance, yield, and decision-making.

The role spans exploratory analysis to predictive and prescriptive modelling, collaborating across countries and functions. You will help enable data-driven decisions and advanced analytics across global locations.