Transform raw data into decision-making tools

Your raw material is data! Are you eager to use your knowledge in machine learning to transform data into valuable information? Are you passionate about statistical learning? Are you proficient in Python, R, Java? Do you love challenges? Is complex problem-solving child’s play for you?
Join the Societe Generale community of over 200 data scientists, which is likely to grow to meet the needs of the Bank’s business areas. You will process a considerable and rich set of data to improve client service and operational efficiency, create new services/products and control risks.

Your roadmap

  • Create learning algorithms to use data
  • Analyse results, and design decision-making tools
  • Organise the industrial production of models

Positive points of the job

An in-house data lake of several data petabytes and efficient CPU/GPU computing architecture
Diverse, compelling projects
Responsible and ethical use of data
In-house communities of experts (NLP, Auto-ML, etc.) with whom to discuss
Experience my job as a Data Scientist

Profiles wanted

Machine Learning

Deep Learning (NLP, OCRisation, etc.)

Data Visualisation / results-oriented

Problem solving / mathematics

Master’s from an engineering school, master’s in data science, (applied) mathematics or IT

How to join us

To get to know each other and make sure you will be happy as part of Societe Generale, please follow the below steps.


Get in touch

By responding to our job advertisement


Tell us a little more about yourself

We’ll contact you for an initial exchange and online tests


Is it a match?

You’ll meet our operational team and human resources partners.



The job is yours, and you’re ready to start the adventure.

The adventure has just begun!

At Societe Generale, we make sure that everyone can develop their own path according to their ambition and abilities. After a position as a data-scientist, you will have access to new opportunities:

  • Data Scientist (Inspector/Auditor, Internal Consultant, Actuary, Quant…)
  • Data Engineer
  • Chief Data Officer

Data Scientist

Join us