Data-science at Societe Generale

Навыки

• AI-инструменты в работе
• Big Data
• Коммуникация
• C++
• Анализ данных
• Data Lake
• Hadoop

О компании и продукте

• At Societe Generale, we make sure that you can develop your career based on your ambition and abilities

Задачи

• Data Scientist
• See available jobs
• 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?
• 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 responsibilities
• Creating learning algorithms to use data
• Analysing results, and designing decision-making tools
• Organising the industrial production of models
• HIGHLIGHTS OF THE JOB
• 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 Francesco, Data Scientist
• Video transcript
• 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
• writing reports and communicating with company managers
• solving problems using data
• ensuring the proper deployment of the models they establish

Требования

• 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
• 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
• 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?
• The Data Scientist , a data professional specializes in analyzing the complex data collected by the company to anticipate the evolution of customer needs

Паспорт вакансии

История публикации

Откуда что взялось

Отмечено то, что вывели мы. Без пометки — значение назвал работодатель.

Почему на этом месте в выдаче

Порядок выдачи объявлен контрактом: свежесть решает между днями, полнота и зарплата — внутри дня.