Transform raw data into decision-making tools

Is data your raw material? Do you want 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 – a number that’s likely to grow to meet the needs of the bank’s business areas. You will process considerable and rich sets of data to improve client service and operational efficiency, create new services and products and to control risks.

Your responsabilities

  • Creating learning algorithms to use data
  • Analysing results, and designing decision-making tools
  • Organising the industrial production of models


An in-house data lake of several data petabytes and efficient CPU/GPU computing architecture
Responsible and ethical use of data
Diverse, compelling projects
In-house communities of experts (NLP, Auto-ML, etc)
Meet Wissem, Data Scientist

You should be...

Knowledgeable in machine learning and deep learning (NLP, OCRisation, etc)

Experienced in data visualisation and results-oriented

Data Visualisation / results-oriented

Interested in 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 bit 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 you can develop your career based on your ambition and abilities. After a position as a Data Scientist, you will have access to new opportunities such as:

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

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