Internship - Data Scientist Intern - Freight Rate Forecasting

CMA CGM is hiring an Internship - Data Scientist Intern - Freight Rate Forecasting in Marseille, France. Level rates it ; you can apply on CMA CGM.

Level's read on this job

Level rates this data scientist role Builds AI ●●●●: the job is building AI systems.
Tools and skills the posting cites include Python, SQL and machine learning.
Level classifies it as an internship.
Level lists 1,000+ other open roles at CMA CGM.
The role was posted in the last few days.

AI in this role

Build and industrialize machine learning models for freight rate forecasting as a data science intern.

pythonsql

machine-learningdata-analysisforecastingmodeling

Led by Rodolphe Saadé, the CMA CGM Group, a global leader in shipping and logistics, serves more than 420 ports around the world on five continents. With its subsidiary CEVA Logistics, a world leader in logistics, and its air freight division CMA CGM AIR CARGO, the CMA CGM Group is continually innovating to offer its customers a complete and increasingly efficient range of new shipping, land, air and logistics solutions.

Committed to the energy transition in shipping, and a pioneer in the use of alternative fuels, the CMA CGM Group has set a target to become Net Zero Carbon by 2050.
Through the CMA CGM Foundation, the Group acts in humanitarian crises that require an emergency response by mobilizing the Group’s shipping and logistics expertise to bring humanitarian supplies around the world.

Present in 160 countries through its network of more than 400 offices and 750 warehouses, the Group employs more than 155,000 people worldwide, including 4,000 in Marseilles where its head office is located.

YOUR ROLE

As part of your studies, you are currently looking for an end-of-studies internship (Bac+5 specializing in data science / data analysis).

You will join the Data Science team as part of the Lines’ digital transformation. Your main mission will be to build a freight rate forecasting model that meets business needs, and to help industrialize it. Your models’ results will directly help improve pricing strategies.

You may also work on a variety of topics: ad hoc data analyses, the Data Science department’s development workshops and the monitoring of existing projects. This internship will give you end-to-end experience, from scoping the need to deploying a model, on a subject at the crossroads of shipping, macroeconomics and geopolitics.

WHAT WILL YOU DO?

Scoping: You will help frame the project and write the specifications with business teams, then identify, analyze and collect the relevant data.
Modeling: You will design a modeling strategy and implement it, iterating until it meets the specifications. You will set up the evaluation and monitoring of candidate models.
Industrialization: You will write deployable code and produce a results report along with a roadmap for industrializing and deploying the model.
Business adoption: You will contribute to the model’s adoption plan, including its integration into pricing strategies.
Department support: You will carry out ad hoc data analyses, take part in development workshops and the monitoring of existing projects, and handle day-to-day requests from colleagues in the department.

WHO ARE WE LOOKING FOR?

Education: Bac+5 student specializing in data science / data analysis, ideally in your final year.
Technical skills:
- Strong command of time series forecasting models
- Proficiency in SQL and Python
- Experience with Dataiku, Snowflake or GCP is a plus
- Comfortable using AI to produce code in a controlled way
Languages: [to be completed – fluent English likely]
Personal qualities: Able to grasp complex and varied issues (how shipping works, macroeconomics, geopolitics, etc.); at ease working with many stakeholders and handling several topics in parallel.

JOB ENVIRONMENT

Location: Head Office – Marseille
Duration: 6 months, starting January 2027

Come along on CMA CGM’s adventure !

How we rate this

Internship - Data Scientist Intern - Freight Rate Forecasting at CMA CGM rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Internship - Data Scientist Intern - Freight Rate Forecasting is an open job at CMA CGM.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in Marseille, FRA.
The job was posted on October 21, 2026.
Seniority: intern.
Applications are handled by CMA CGM. Apply on CMA CGM

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Machine learningData AnalysisForecastingModelingPythonSQL

Also common in data scientist jobs at this level

Machine learning LLM Generative AI AWS Spark PyTorch

Pay

Typical data scientist job: $167k

This posting doesn't list pay. Use the typical data scientist figure when pay comes up. See data scientist jobs

Questions you could be asked

Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where data analysis was part of your work. What did you do?
Tell me about a project where forecasting was part of your work. What did you do?
Tell me about a project where modeling was part of your work. What did you do?
Walk me through how you've used Python in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Machine learning, Data Analysis, Forecasting, Modeling, and Python. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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