Reducing food waste with demand forecasting & simulation

Your role

In a world where fresh food is always available, reducing food waste means we need to smartly predict the quantities we would need based on trends, seasonality, promotions, external events, weather, etc.
As element61 we have been working on this demand forecasting challenge for many years. In this traineeship you will continue leading the way on further optimizing & improving our demand forecasting & simulation set-up.


Your profile


In this traineeship, the student will

  1. work technically on new features around the demand forecasting solution we have
  2. get insight in the end-to-end flow & how it’s used at various customers
  3. work with colleagues, peers & customers and work with tools like Azure, Power BI & Databricks

This traineeship will combine both the technical perspective as well as the business perspective on how to quantify/measure & monitor data quality.
The student will be able to work with state-of-the-art technology while using this on a real-life use case.

As a trainee, we expect you to:

  • Translate your academic knowledge into business solutions & a first hands-on experience;
  • Do data development using Python, SQL in Azure and Databricks;
  • Show your documentation and reporting skills through presentations and demo’s;
  • Show creativity and out-of-the-box thinking in this challenging use-case.

What are we looking for:

  • Character: customer-oriented, able to work in a team, keen to create something new in international teams;
  • Working Practice: analytical, structured and result-orientated;
  • Passionate about analytics, machine learning technology & applications and eager to learn;
  • Enthusiasm to be part of a growing team & industry.

Language: working level English

Interested to find out more ? Send us your profile and motivation at