This team ensures a transversal mission of strategic intelligence in the field of innovation and technological advances. It defines the digital strategy, in interaction with the relevant BU / SU, ensures the proper implementation of the digital principles within the business lines and their contribution to an open service platform, based on a simplified information system.
The team uses AI and Data technologies together with strong statistical skills to develop Machine Learning algorithms.The team is use-case driven and iterates to identify areas of improvements and difficulties prior to industrialization. They first start with a simplified approach and on an initial set of data. Based on user feedbacks, the model is then optimised and trained to deliver value. Usual roles within the team are: use-case selection, project management, product/user requirements, data analysis, modelling & optimization, prototyping & industrialization etc.
Experience: 6-10 years
Mandatory Skills: Python, Machine Learning, REST API, SQL
Detailed Job Description :
We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
At Société Générale, we are convinced that people are drivers of change, and that the world of tomorrow will be shaped by all their initiatives, from the smallest to the most ambitious.
Whether you’re joining us for a period of months, years or your entire career, together we can have a positive impact on the future. Creating, daring, innovating and taking action are part of our DNA.
If you too want to be directly involved, grow in a stimulating and caring environment, feel useful on a daily basis and develop or strengthen your expertise, you will feel right at home with us!
You should know that our employees can dedicate several days per year to solidarity actions during their working hours, including sponsoring people struggling with their orientation or professional integration, participating in the financial education of young apprentices and sharing their skills with charities. There are many ways to get involved.