Modelling-Statistics RD Intern
Modelling-Statistics RD Intern
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1 Vacancy
Job Description
Join us as Modelling Statistics Intern at our international headquarters in Utrecht starting in March 2025. In this internship you will support the End to End Consumer Customer Insights team and use statistical methods to unleash possibilities in the coffee and tea business (e.g. predictive modelling multivariate analysis) and join automation initiatives to optimize the process from data collection to analysis reporting.
Your key activities will be:
Main activity: Work on a personal research project to impact the world of coffee and tea. The topic will be confirmed within the first month of placement based on current R&D challenges and your personal development options.
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 many researchers in R&D to the Modelling and Statistics team.
Create impactful data visualization to support the hypothesis in the R&D projects.
Work with multiple data sources and combine them to perform modelling and data analysis and also detect opportunities of automation
Supported by a commendable 4.5 Glassdoor rating and 94% intern recommendation score we pledge to provide you with a unique learning journey as part of our Consumer Science and Intelligence team where youll gain valuable insights into the entire R&D process especially in how JDE Peets uses statistical methods to create insights that will 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
Two weeks of remote working anywhere in Europe (EEA)
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 or Technology with a background in statistics. R (or any coding) JMP or XLStat experience is preferred but not mandatory.
Skillset: You possess strong MS Office skills and fluent proficiency in speaking and written English Having some similar handson experience with food research activities is always a benefit.
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 3rd of March to the end of August 2025.
Availability: You can join the internship for 5 days per week including three days inoffice and one or two days remotely ensuring an ideal balance between collaboration and independence.
As we hope to have piqued your interest please ensure you also meet the eligibility criteria and academic requirements:
Your internship should be included in your study curriculum and directly contribute to your academic results.
Your educational institution is 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:
Upload your resume (in English) using our LinkedIn or career site application form
After applying well reach out within three weeks to let you know whats next.
During the application process youll be asked to do an online assessment and at least one interview at our Utrecht office.
If you have questions dont hesitate to contact our Campus team at Were here to help!
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
