Data Scientist - BNP Paribas

at  BNP Paribas Personal Finance

Lisboa, Área Metropolitana de Lisboa, Portugal -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate21 Jan, 2025Not Specified21 Oct, 2024N/AVertica,Statistics,Oracle,Physics,Languages,Collaboration,Machine Learning,Information Technology,Relational Databases,Python,Computer Engineering,Mathematics,Availability,Data AnalysisNoNo
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Description:

GROUP BNP PARIBAS

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 ML engines, and we make them available to all PF geographies. We have vast amounts of data in the Bank, and we know that the value will come with robust and secure solutions deployed in production.

REQUIREMENTS

  • A degree in Information Technology, Computer Engineering, Physics, Mathematics, Statistics or a related field
  • Strong programming skills in Python
  • Practical knowledge in data analysis, applied mathematics, and statistics
  • Fluency in oral and written English
  • Knowledge of relational databases such as vertica, oracle, sqlserver
  • Good skills on collaboration, communication, adaptability, assertiveness and initiative spirit
  • Interest in continuous learning and new challenges (machine learning, dev)
  • Availability for occasional travel in Europe
  • Experience

Some experience in Data Science projects is appreciated

  • Languages

English - Fluent

Responsibilities:

Please refer the Job description for details


REQUIREMENT SUMMARY

Min:N/AMax:5.0 year(s)

Information Technology/IT

IT Software - Other

Software Engineering

Graduate

Engineering, Information Technology, Mathematics, Statistics, Technology

Proficient

1

Lisboa, Portugal