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Internship - Data Scientist Intern - Freight Rate Forecasting H/F

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Description

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 !

Date de début

21 oct., 2026

Fonction

Informatique - Systèmes d'Information

Formation

Ingénieur/Cadre/Bac +5

Secteur

Industrie
CMA CGM
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