If you are looking for an internship that involves big data and allows you to prove your skills on real-world challenges, this internship might be the perfect fit.

We are currently providing internships focused on two different challenges:

1. Transport mode algorithm improvements
Our current transport algorithm detects when an individual is 'in vehicle', travelling 'by bike' or 'on foot'. To do so, we evaluate millions of coordinates on a daily basis. Coming from a pure feature engineering model, the current challenge is to improve the algorithm. You can put your knowledge about hidden markov chains or neural networks to the test. On top of that, we have access to the realtime coordinates of De Lijn (bus transport) to help improve detection of bus trips'. By mapping coordinates on railway roads, defining the 'in train' transport mode can be defined.
‍
2. Proactive recommendations
Today, multiple metrics about customer loyalty, competitors visited by a brand's customers or popular hours (to name but a few) are calculated on a continuous basis. Too much information to see the forest for the trees... In this role, you will explore how Large Language Models (LLMs) can be leveraged to generate proactive recommendations on which metrics deserve deeper analysis. Your research will focus on transforming insights into actionable steps, enabling smarter decision-making and driving business impact.

More info: https://www.accurat.ai/about-accurat/careers-at-accurat

- you are following a bachelor’s or master’s degree in computer science or related field
- programming skills in Python
- knowledge about databases and SQL syntax
- knowledge of Git and Linux
- you speak fluent Dutch and/or English