Aartificial intelligence, Agile methodologies, Algorithms, C++, Data Analytics, Data cleaning / Data cleansing, Data science techniques, Data Transformation, Deep Learning, Jupyter Notebook, Machine learning techniques, MLOps tools, Python Programming, R Programming, SQL
By acquiring a Data Science Laboratory, BGL BNP PARIBAS is showing its strong ambition in terms of developing and adopting new technologies. Strengthened by its partnerships with research and Fintech ecosystems, the bank has equipped itself through its Data Science Laboratory with a dynamic and innovative ecosystem around artificial intelligence aimed at optimizing the use of data while relying on the strong financial and technical expertise of its businesses.
Your mission will fit into this context and will consist of studying, proposing, prototyping and integrating Machine Learning solutions, MLOps applying to the various strategic Use Cases identified by the bank.
Your Mission will be organized as follows:
Contributions of the position
Through a diversified range of activities and in a constantly changing context (digital, regulatory, etc.), this position will allow you to:
YOUR WORK ENVIRONMENT
You join the Data Science Lab team within the Transformation function of BGL BNP Paribas.
In your role, you will have regular and varied exchanges both within the Transformation and IT teams and also with university research centers.
YOUR PROFILE :
BNP Paribas is a prominent international banking and financial services group headquartered in Paris, France. It is one of the largest banks in the world by total assets and operates in more than 70 countries, serving millions of clients. The bank's history dates back to the mid-19th century, with various mergers and acquisitions leading to the formation of BNP Paribas as it is known today.
Frankfurt, Germany
0-2 year
Frankfurt, Hessen, Germany
4-6 year