RD Modelling-Statistics Intern
RD Modelling-Statistics Intern
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1 Vacancy
Job Description
Join us as a Modelling Statistics Intern at our international headquarters in Utrecht starting in September 2025! In this internship you will support the EndtoEnd Consumer Customer Insights team and use statistical methods to unleash possibilities in the world of coffee and tea think predictive modelling multivariate analysis and join automation initiatives to optimize the process from data collection to analysis reporting.
- Main activity: Work on a personal research project to create impact in the world of coffee and tea. The topic will be confirmed within the first month of your placement based on current R&D challenges and your personal development goals.
- Extra activities: (depending on workload and your career development options)
- Support in designing experiments for various teams including but not limited to product development packaging and technology solutions.
- Engage in statistical challenges brought by researchers in R&D to the Modelling and Statistics team.
- Create impactful data visualizations to support hypotheses in R&D projects.
- Work with multiple data sources combine them to perform modelling and data analysis and detect opportunities for automation
Backed by a commendable 4.5 Glassdoor rating and 94 intern recommendation score we promise you a unique learning journey as part of our Consumer Science and Intelligence team. Here youll gain valuable insights into the entire R&D process and see how JDE Peets uses statistical methods to create insights that truly impact the world of coffee and tea.
Whats in it for you
A monthly internship allowance of 525 (fulltime)
Travel compensation if you dont have a free public transport card
Paid holidays for each internship term
The chance to learn from the best Consumer Science and Intelligence professionals out there!
Qualifications :
Are you bursting with fresh ideas and a hunger for learning We want you!
- Heres what were looking for:
- Academic Program: You are enrolled in a BSc or MSc program for the entirety of the internship preferably in Statistics Data Science or Food Science/Technology with a background in statistics. Experience with R (or any coding) JMP or XLStat is preferred but not mandatory.
- Skillset: You possess strong MS Office skills and are fluent in spoken and written English. Having some handson experience with food research activities is always a plus!
- Personal traits: You have a structured approach a driven and energetic personality excellent communication and people skills and the ability to work both in a team and independently.
- Commitment: You are ready to dedicate at least 5 months to this internship preferably from September 1st to the end of February 2026.
- Availability: You can join the internship for 5 days per week including four days inoffice and one day remotely ensuring an ideal balance between collaboration and independence.
As we hope to have piqued your interest please ensure you also meet the following eligibility criteria and academic requirements:
Your internship should be included in your study curriculum and directly contribute to your academic results.
Your educational institution must be willing to sign a collaboration agreement with JDE Peets and when joining our Research departments also sign an NDA agreement for internships.
You are either an EU(EEA) student residing in the Netherlands during the internship or a NonEU(EEA) student enrolled and living in the Netherlands during the internship.
Additional Information :
Are you ready to Unleash Your Possibility within JDE Peets
Heres how to apply:
- 1 Upload your resume (in English) via LinkedIn or through our career site application form.
- 2 After applying well get back to you within three weeks to let you know whats next.
- 3 SAVE THE DATE! Finalists will be invited to our Recruitment Day on May 22nd!
- 4 During the process youll be asked to complete an online assessment and attend at least one interview at our Utrecht office.
If you have any questions dont hesitate to contact our Campus team at were here to help!
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
