Data Scientist Intern: Agentic AI & Time Series Forecasting

CMA CGM; Marseille; On-site; EUR 13,000 - 17,000; Full time

Job summary

CMA CGM Group in Marseille is seeking a Data Scientist Intern for the RAFA project, focusing on Agentic AI and Deep Learning. You will work on automating ML experiments, multi-horizon forecasting for shipping lines, and integrating advanced AI agents.

The role involves code generation, validation, and producing HTML reports. The ideal candidate is a Master 2 or engineering student with Python, Jupyter, Git, and PyTorch experience, and professional English capability.

Qualifications

• Masters/engineer student specializing in data science, ML, AI, stats or time series.
• Proficient in Python (pandas, NumPy, scikit-learn), Jupyter and Git; background in supervised ML and time-series backtesting.
• Experience with LLM agents and orchestration frameworks (LangGraph, LangChain) or equivalent.
• Familiarity with PyTorch and time-series architectures (TCN, RNN/LSTM/GRU, Transformers).
• Nice-to-have: Dataiku, FastAPI, Docker, MLflow, OpenAI API or similar; Graphviz/NetworkX; LLM observability.
• Professional English required.
• Curious, autonomous, and able to document findings clearly.

Responsibilities

• Improve RAFA's experiment logic and baseline selection to ensure robust results.
• Work on multi-horizon forecasting with lag features and backtesting.
• Assist orchestration of RAFA's agents (analyst, planner, coder, etc.) and ensure anti-leakage safeguards.
• Integrate and evaluate deep learning models (MLP, TCN, RNN/LSTM/GRU, temporal Transformers).
• Improve code generation, prompts, and automated validation for reliable Python execution.
• Produce HTML reports and document experiments for data scientists and management.

Skills

Python

Jupyter

Git

Pandas

NumPy

Scikit-learn

Time series

Forecasting

English

Education

Master's degree / Engineering school

Tools

LangGraph

LangChain

PyTorch

Docker

MLflow

OpenAI API

NetworkX

Job description

CMA CGM Group in Marseille is seeking a Data Scientist Intern for the RAFA project, focusing on Agentic AI and Deep Learning. You will work on automating ML experiments, multi-horizon forecasting for shipping lines, and integrating advanced AI agents.

The role involves code generation, validation, and producing HTML reports. The ideal candidate is a Master 2 or engineering student with Python, Jupyter, Git, and PyTorch experience, and professional English capability.