Data Scientist - Internship

Company Description

Are you an ambitious person? Are you willing to push yourself beyond your limits? Do you have an international profile? If so, Shippeo is exactly what you are looking for! 

• Having already raised €110 million in funding, Shippeo is growing rapidly. The team has more than tripled in size to 200 within 2021 and 2022 and the scaling is continuing throughout 2023 🚀

• Our team of Shippians comprises 27 different nationalities, speaking a total of 29 languages 🌎

More about us:🚚

Founded in 2014, Shippeo is a French SaaS company leading the European market in helping shippers and logistics companies track their freight shipments in real-time to improve visibility throughout their end-to-end supply chains.Relied on by global brands including Carrefour, Total, Schneider Electric, Faurecia, ThyssenKrupp, Saint-Gobain, Renault and Eckes Granini, Shippeo's platform helps customers track more than 10 million shipments per year across 70 countries.

Job Description

We are looking for an Intern in Data Science to join our Data & AI/ML tribe.

The Data & AI/ML tribe is responsible for leveraging the large amount of data that Shippeo has been acquiring over the course of running the platform and rolling it out to multiple shippers and carriers, to get insights from it.

One of the main features the team builds and improves is Shippeo’s proprietary Machine algorithm that predicts Estimated Times of Arrival (ETA) of vessels, which is an extremely difficult exercise due to all the uncertainties in ocean transportation (weather conditions, port congestion, time spent on ports to load and discharge merchandises, ...). 

We are constantly looking for new ways to make the ETA prediction as accurate and reliable as possible, to help our users anticipate delays.

In the Shippeo platform, Ocean ETA is mainly used to answer the following customer needs:

1. When exactly will a vessel arrive at a given port and when will this vessel be able to discharge its containers?

2. Is there a risk of delay at any of these milestones?

In this context, we would like to focus on port congestion problematic and better understand: : 

• What can cause this congestion : Can we predict it using vessel operations inside the ports ? Is there a form of seasonality? … 

• What are its effects at vessel level : Are all vessels affected by port congestion in the same way ? In the case of a congested port, are the first in the first out? 

This internship will consist in exploring and proposing different strategies to improve our ML models performance. This will for instance involve : 

• Training of a classification model to predict whether a vessel will be anchored at its arrival at the destination port using data related to port congestion 

• Training of a regression model to predict the duration of this anchorage in the event that it occurs 

• Dashboards to visualize ports congestion at the moment and also what we predict will happen

Qualifications

• You are pursuing a MSc degree (or equivalent) with a major in Data Science, and are in your final year 

• Knowledge and experience with relational databases (SQL, data modeling)

• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy

• Programming skills in Python and experience with scientific programming libraries (Pandas, Numpy, Scipy)

Additional Information

Recruitment Process : 

1. Preliminary call

2. Technical interview and final interview