Data & Analytics - Advanced Forecasting in Retail Internship

What is required?
Currently studying at an university
MSc student in the field of Data Science, Econometrics, Forecasting (Supply Chain), or similar
You have excellent Dutch and English language skills
You are entrepreneurial and have humor
You have a top sport mentality, we are looking for talent that wants to be better than good
What will you get?
Excellent internship compensation and working conditions
Continuous development dialogue
Strong, proud and informal culture
Working at a Great Place to Work
Legendary events

What are you going to do?

Do you want to gain experience working on technology in the Retail Data Science domain during your studies? And discover whether a consultancy firm with strong technology & analytics capability is the right fit? Our Retail Analytics team is building solutions for clients such as supermarkets, fashion retailers, and convenience stores.

Within these solutions, advanced algorithms play a central role. Your challenge will be helping in increasing the accuracy, scalability and transparency of these algorithms. Under guidance of experienced data scientists and data engineers you will be researching new techniques and implementing found improvements in mainly Python and Spark.

You would participate as a full team member of our Data & Analytics team and help build & develop our core forecasting solution. During your internship you and your IG&H mentor look at your personal and professional development.

Our recruitment process

1. Review
Online assessment and a interview with two consultants.
2. Offer
We make an offer to the candidate we feel is the best fit for the role.

Working at IG&H

IG&H is active in the field of consultancy and technology. As a sector expert, IG&H focuses on Retail, Finance and Healthcare. Currently, the company has 300 committed professionals who help leading organizations realize the digital transformation to radical customer focus. IG&H has been recognized as a ‘Great Place to Work’ and has a Net Promotor Score of >60, which is considered very high.