R&D Sensory Analytics Intern — Shiny & R

JDE Peet's; Utrecht; On-site; EUR 5,600 - 6,100; Full time

Benefits offered by this job

€525 monthly internship allowance

Travel compensation

Paid holidays

Mentorship from experts

Job summary

JDE Peet’s in Utrecht is offering an R&D Sensory Analytics and R Development Intern, starting March 2027. You will join the Sensory & Consumer Science and Science & Modelling teams, working at the intersection of data analysis, statistics and programming.

You will renovate and enhance R applications using real sensory data, develop analytical features, automate reports and visuals, and build intuitive interfaces for complex analyses. Four days in-office and one day remote.

Qualifications

• Good understanding in statistics and data analysis.
• Experience in programming in R; exposure to Shiny app development is a plus.
• Basic understanding of sensory or consumer research is a strong advantage.
• Fluent proficiency in speaking and written English.

Responsibilities

• Improve and maintain existing R/Shiny applications used by sensory scientist globally.
• Develop new analytical features based on scientists needs.
• Develop automated reports and visualizations.
• Build user-friendly interfaces for complex statistical analysis.
• Test & validate the analytical tools.
• Discover and contribute to the day to day of Sensory and Consumer Science teams at JDE Peet’s.

Skills

Statistics & data analysis

R programming

Shiny development

English proficiency

Education

BSc or MSc program (Statistics / Data Science / Sensory Science)

Tools

R

Shiny

Job description

JDE Peet’s in Utrecht is offering an R&D Sensory Analytics and R Development Intern, starting March 2027. You will join the Sensory & Consumer Science and Science & Modelling teams, working at the intersection of data analysis, statistics and programming.

You will renovate and enhance R applications using real sensory data, develop analytical features, automate reports and visuals, and build intuitive interfaces for complex analyses. Four days in-office and one day remote.