Data-science at Societe Generale

Contenu

DATA SCIENTISTTransform raw data into decision-making tools

Your responsabilities

Hello, my name is Francesco and I am a Senior Data Scientist at Societe Generale. I joined the Group in 2020 after my studies and several professional experiences in the United States. And after that, I came back to France and I joined the Innovation department of Societe Generale because I wanted to work on strategic subjects.

My job is to develop artificial intelligence solutions for the various banking professions. It is a job at the intersection of three disciplines: mathematics for the design of algorithms, software engineering which allows translating these algorithms into code and deploying projects within the bank's infrastructure and business expertise that is necessary to create relevant solutions, but also to interact with non-technical audiences and explain technical content to them.

If I had to name one key skill for this job, I would say it's the ability to structure a project and to put yourself into the user's shoes. So, you need to understand these issues, identify what they could need and conceive a relevant solution.

And more recently, I have been interested in GenAI questions.

We have many challenges ahead of us.

The first one is to design solutions that are sufficiently specific to meet the needs of each job, but also sufficiently generic to cover all the Group's needs. And all while keeping the balance between added value and environmental impact. A second challenge is to provide solutions with as little bias, toxicity or hallucinations as possible that is to say, false answers that are presented to us as a certain facts. So it's really important to provide robust protocols in place and I think having diversity in the teams will facilitate implementation of these protocols.

My pride is to be involved in very different projects since I arrived in the Group. Of course, on the one hand, there are my data science projects, but if we want to, we can go further. For example, I was in charge of the Group's data science community by organizing internal events such as sharing sessions and workshops, but also externally, by organizing meetings with others companies in order to share our best practices with our peers.

My job is to develop artificial intelligence solutions for the various banking professions. It is a job at the intersection of three disciplines: mathematics for the design of algorithms, software engineering which allows translating these algorithms into code and deploying projects within the bank's infrastructure and business expertise that is necessary to create relevant solutions, but also to interact with non-technical audiences and explain technical content to them.

If I had to name one key skill for this job, I would say it's the ability to structure a project and to put yourself into the user's shoes. So, you need to understand these issues, identify what they could need and conceive a relevant solution.

And more recently, I have been interested in GenAI questions.

We have many challenges ahead of us.

The first one is to design solutions that are sufficiently specific to meet the needs of each job, but also sufficiently generic to cover all the Group's needs. And all while keeping the balance between added value and environmental impact. A second challenge is to provide solutions with as little bias, toxicity or hallucinations as possible that is to say, false answers that are presented to us as a certain facts. So it's really important to provide robust protocols in place and I think having diversity in the teams will facilitate implementation of these protocols.

My pride is to be involved in very different projects since I arrived in the Group. Of course, on the one hand, there are my data science projects, but if we want to, we can go further. For example, I was in charge of the Group's data science community by organizing internal events such as sharing sessions and workshops, but also externally, by organizing meetings with others companies in order to share our best practices with our peers.

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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