Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming
As a scientist, you will be required to work on various data science subjects related to the different businesses of BNP Paribas Real Estate. From collection to modeling to data cleaning
As such, your main missions revolve around the following axes:
WORKING ENVIRONMENT
You join a team of ten people, passionate and motivated with a spirit of initiative.
The “Data Science & Analytics Office” department plays a key role in controlling the data life cycle and in designing cross-functional solutions for business lines, functions and countries.
CONTRIBUTIONS OF THE POSITION AND EVOLUTION
Rich in diversity and exchanges with the different business lines, functions and different countries, this position will allow you to establish a relationship of trust with your interlocutors, while developing your technical skills essential to the data scientist: analytical skills, mastery of algorithms, popularization and communication
REQUIRED PROFILE
You have a Bac+4/5 training (engineering school or university), you have acquired solid theoretical knowledge in mathematics, statistics and you have already implemented at least one leanring machine algorithm. You have a good knowledge of databases in SQL, the jupyter notebook (or other Python IDE) and/or R.
You know how to show autonomy, initiative and rigor to carry out projects.
You have a strong analytical mind, you demonstrate autonomy and are recognized for your rigour, your ability to produce, synthesize and collaborate.
Behavioral skills required for the position
Finally, we attach particular importance to ensuring that our future employees act with responsibility and professional ethics on a daily basis.
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