Present in more than 30 countries, BNP Paribas Personal Finance leads the personal and consumer credit business. In some markets we are leaders, and we bet on innovation to open up new opportunities, in others we are a fast growing business.
In all markets, we value relationships, knowledge sharing and responsible action.
The analytical team uses state of the art data analytical and visualization techniques to solve business issues and uncover opportunities for BNP Paribas Person Finance.
We design and develop our own AI engines, and we make them available to all PF geographies trough information-efficient visualization solutions by creating and deploying reliable and scalable data applications from prototype to production.
We have vast amounts of data in the Bank, and we know that the value will come with robust solutions deployed in production.
Data Scientist / Python Developer (M / F)
In practice, your day-to-day
As a Data Scientist you will use SAS or Python to collect, extract, investigate and develop data quality for analytical needs at a local or corporate level (Paris) :
You will integrate notebooks developed by the data science team in our engines, together with the developers team and ensure high-level or reusability of the engines.
The Mission is important, but so is the Team and the workplace!
Welcome to BNP Paribas Personal Finance, Colombo building, where you will integrate the analytical Hub, a very innovative and creative team.
You will report hierarchically to the Team Leader.
We are prepared to welcome you with an initial onboarding plan, with on the job training, training and networking.
What do we have to offer you?
This is a very important topic that we will address together, taking into account your training and experience.
Are you the one we are looking for?
Do you have a Degree in Information Technology, Computer Engineering, Mathematics, Statistics or related field?
Have knowledge of databases (relational and graph) vertica, oracle, sqlserver, experience with ETL (plus), strong programming and scripting skills (Python), knowledge of BI / visualization tools (Tableau Software, Qlikview, Qliksense any), academic knowledge about machine learning and statistical and quantitative analysis skills?
Have good skills on collaboration, communication, adaptability and initiative spirit, high focus on delivery, with detail-oriented mindset?
Fluency in oral and written English.
If you have all this, a lot of desire, energy and good mood, then you are the one we are looking for ...
We look forward to your application!