Data Scientist: Job Description

Content

DATA SCIENTISTTransforming raw data into decision support tools

Your missions

Hello, my name is Francesco and I am a Senior Data Scientist at Société Générale. I joined the Group in 2020 after studies and several professional experiences in the United States. Following that, I returned to France and joined the Innovation department of Société Générale because I wanted to work on strategic and impactful topics.

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

If I had to name a key skill for this job, I would say it is the ability to structure a project and put oneself in the user's shoes. So, understanding their issues, identifying what they might need, and designing a relevant solution. More recently, I have been interested in generative AI issues.

We have many challenges ahead. The first is to design solutions that are specific enough to meet the needs of each profession, but also generic enough to cover the entire Group's needs. All this while maintaining a balance between added value and environmental impact. A second challenge we face is to provide solutions with as little bias, toxicity, or hallucinations as possible, that is, false answers presented to us as certain facts. Hence the importance of implementing robust protocols, and I believe having diversity in teams will facilitate the implementation of these protocols.

I would say my pride is having been involved in very different projects since I arrived at the Group. Of course, on one hand, there are data science projects, but if you want, you can go further. For example, I have been responsible for animating the Group's data science community by organizing internal events such as sharing sessions and workshops, but also externally, by organizing meetings with companies to exchange, see how things are done elsewhere, and also allow our data scientists to exchange with their peers.

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

If I had to name a key skill for this job, I would say it is the ability to structure a project and put oneself in the user's shoes. So, understanding their issues, identifying what they might need, and designing a relevant solution. More recently, I have been interested in generative AI issues.

We have many challenges ahead. The first is to design solutions that are specific enough to meet the needs of each profession, but also generic enough to cover the entire Group's needs. All this while maintaining a balance between added value and environmental impact. A second challenge we face is to provide solutions with as little bias, toxicity, or hallucinations as possible, that is, false answers presented to us as certain facts. Hence the importance of implementing robust protocols, and I believe having diversity in teams will facilitate the implementation of these protocols.

I would say my pride is having been involved in very different projects since I arrived at the Group. Of course, on one hand, there are data science projects, but if you want, you can go further. For example, I have been responsible for animating the Group's data science community by organizing internal events such as sharing sessions and workshops, but also externally, by organizing meetings with companies to exchange, see how things are done elsewhere, and also allow our data scientists to exchange with their peers.

And if the adventure was just beginning?

At Société Générale, we ensure that everyone can build their own path according to their desires and abilities. The future opens up to you and offers new opportunities:

• Data Scientist (Inspector/Auditor, Internal Consultant, Actuary, Quant, etc.)
• Data engineer
• Chief data officer

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