Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming
Arval, multinational of the BNP Paribas banking group, leader in long-term car rental and company fleet management, has been guaranteeing innovative and customized mobility solutions to companies throughout Italy since 1995.
For our Business Transformation department we are looking for a:
DATA SCIENTIST
The resource will be included in the Business Transformation department within the Data Office & Reporting structure, with the aim of developing initiatives related to advanced data analysis through the use of data science techniques and translating and communicating them in a language understandable to the Business in order to make processes and strategic business decisions more efficient.
Specifically, it will deal with:
The ideal candidate is a graduate in Economics, Management Engineering or Statistics with experience of at least 2 years in structured and international organizational contexts. Equipped with good analytical, communication and relational skills, in a group he shows himself involved and collaborative, showing customer orientation and results. He has a particular interest in new technologies, data analysis, statistical modeling and Machine Learning techniques.
Precise and organized, it manages its activities in compliance with the required deadlines.
Excellent knowledge of the English language is essential and familiarity with the use of Excel, data query languages ??(SQL) and use of statistical tools is required.
There is a permanent contract with conditions commensurate with previous experience
Place of work: Assago (MI)
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