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Wageningen
4 Jun 2026
R&D CX Intern – Modelling Sensory Data logo

R&D CX Intern – Modelling Sensory Data

Flora Food Group

Wageningen
4 Jun 2026
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R&D CX Intern – Modelling Sensory Data

We are looking for a motivated and detail-oriented R&D CX Intern to join our team in Wageningen, contributing to data-driven product development for our Spreads portfolio. You will work at the intersection of sensory science, food formulation, and data science, leading a project to predict sensory attributes from ingredient data and developing a practical dashboard for R&D teams. This hybrid internship requires a Master's student in Food Science, Sensory Science, Data Science, or related field, with strong interest in sensory science and data-driven approaches.

AIHybridInternshipInternshipStatisticsModelling

R&D CX Intern – Modelling Sensory Data

We are looking for a motivated and detail-oriented R&D CX Intern to join our team in Wageningen, contributing to data-driven product development for our Spreads portfolio. You will work at the intersection of sensory science, food formulation, and data science, leading a project to predict sensory attributes from ingredient data and developing a practical dashboard for R&D teams. This hybrid internship requires a Master's student in Food Science, Sensory Science, Data Science, or related field, with strong interest in sensory science and data-driven approaches.

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AIHybridInternshipInternshipStatistics

Salary

Not specified

Work Location

Wageningen, Gelderland, Netherlands, NL

Work Model

Hybrid: 3 days per week in the office

Employment Type

Volunteer

Experience Level

Not Applicable

Contract Length

6 months

Core Qualifications

Technical (Must-have)
statisticsmodellingdata science
Soft Skills
analytical skillsproblem-solving skillsstructureddetail-orientedorganizedindependentproactivecuriouscommunication skills
Tools (Must-have)
MS OfficeAI tools

Key Responsibilities

  • •Support data-driven product development for Spreads portfolio
  • •Develop approaches linking ingredient composition to sensory performance
  • •Lead project predicting sensory attributes (sweetness, firmness, flavour intensity) from ingredient data
  • •Analyze internal datasets linking formulation and sensory information
  • •Identify key drivers of sensory performance in spreads
  • •Develop a predictive model translating ingredient composition into sensory profiles
  • •Translate model into a practical dashboard for clear visualization
  • •Collaborate with Consumer Experience, product development, and data science teams
  • •Participate in the intern challenge
internshipR&DConsumer Experiencesensory sciencedata sciencemodellingfood formulationWageningenNetherlands
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