Data Scientist
DATA SCIENTIST
Transform raw data into decision-making toolsIs 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
HIGHLIGHTS OF THE JOB
Hello, my name is Wissem. I'm a Data Scientist in the IT department of the retail banking.
I joined Societe Generale for my end-of studies internship in 2018. I was then hired has a Data Scientist in a fraud detection team using machine learning. I am now working on risk and compliance matters.
My work as a Data Scientist is, first, to recover, process, and restructure data to make them usable. Then, our goal is to build mathematics models using suitable IT tools which can to automate prediction or decision-making tasks, such as fraud or anomaly detection.
My work contributes to automating tasks thanks to artificial intelligence. More specifically, when I was working in the security sector, I implemented machine learning models to identify illegitimate or fraudulent bank transactions.
What would be a core skill to do my job? Since it is a technical job, you need to master mathematical modeling and coding, especially in Python.
My team works with many different departments: marketing, risk, compliance, payment teams and the CSR.
And it's super rewarding.
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
Frequently asked questions about Data Scientist
What is a Data Scientist?
By using statistical techniques and specific computer tools, they ensure a good mastery of machine learning algorithms. Thus, they help solve the company's business problems and participate in its strategic decision-making.
What are the main tasks of a Data Scientist?
- collecting, storing, and preparing data;
- detecting trends in data sets;
- writing reports and communicating with company managers;
- solving problems using data;
- ensuring the proper deployment of the models they establish.
What skills and qualities are essential to becoming a Data Scientist?
Indeed, they must have a strong understanding of mathematical principles, particularly in statistics.
Technically, several requirements are expected :
- mastery of various neutral network architectures and associated development libraries (TensorFlow, PyTorch, Caffe, Keras and Onns);
- knowledge of Hadoop/Spark environments, which are open-source framework, i.e software whose code is open to all, and which support the development of applications;
- mastery of various programming languages (Python, C++, Java and R) and, of course, perfect knowledge of data analysis and machine learning tools, i.e expertise in algorithms and machine and deep learning methods.
Finally, good communication skills are also highly valued: they help understand client needs and effectively convey the results obtained to the company's management.
What training is necessary to become a Data Scientist?
After obtaining a Bachelor's degree (Bac +3) in fields like computer science or mathematics, it is advisable to pursue a Master's in Data Science (specialized, in Big Data, or in artificial intelligence) from an engineering school, computer science school, or certain universities.
If you wish to specialize in a specific area, specific training and certifications are also possible.
Finally, to stand out from other candidates, it is beneficial to gain as much professional experience as possible: a data scientist internship or a work-study program will always be appreciated by recruiters.
How does a Data Scientist’s career progress?
- Data Engineer responsible for managing, processing, and shaping collected data;
- Lead Data Scientist, responsible for the data science team;
- Chief Data Scientist, responsible for all data analysis projects.
They can also choose to specialize in fields such as artificial intelligence or Big Data. Finally, they can move towards roles like Business Analyst, lT Architect, or Software Engineer.
What is a typical day for a Data Scientist?
What is the average salary of a Data Scientist?
Data Scientist vs. Data Engineer: What are the differences?
Data Scientist vs. Data Analyst: What are the differences?
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.
01
By responding to our job advertisement.
02
We’ll contact you for an initial exchange
and online tests.
03
You’ll meet our operational team and human
resources partners.
04
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