Candidatei-me por indicação de um funcionário. O processo levou 2 semanas. Fiz uma entrevista na empresa BNP Paribas (Paris).
Entrevista
2 étapes:
- Entretien technique: Discussion sur les expériences professionelles et projets + Question machine learning (1h15)
- test technique sur machine: Dataset type kaggle (1h40)
* 1h15: J'ai passé le test. J'ai effectué une analyse statistique + preprocessing + ML (modèles utilisés Regression Logistique + LDA/QDA + Random Forest + XGBoost ...etc) métrique utilisée ROC-AUC
Experiência neutra
Entrevista com nível médio de dificuldade
Candidatura
Candidatei-me de outra forma. Fiz uma entrevista na empresa BNP Paribas (Pantin).
Entrevista
- entretien de connaissances générales de ML/DL (avec un data scientist)
- entretien de code, exercice type leetcode avec difficulté croissante (avec un data scientist)
- entretien business et motivation (avec un manager)
Perguntas de entrevista [1]
Pergunta 1
Business: pourquoi est-ce que vous postulez à ce stage et à quoi vous attendez-vous?
ML: que faire si le dataset utilisé pour entrainé un modèle de classification n'est pas "balanced"?
Fiz uma entrevista na empresa BNP Paribas (Pantin).
Entrevista
J'ai passé un test hacckerrank en premier lieu qui trés technique en machine learning, deep learning, computer vision, NLP, brainteasears, mathematiques, et puis un entretien en visio avec un data scientist
Candidatei-me por meio de uma agência de recrutamento. Fui entrevistado pela BNP Paribas (Paris) em mar. de 2025
Entrevista
The process was straightforward and well organized. First, I had a phone screening/interview, followed by an assessment to complete at home. The final stage was an interview with the hiring manager. Overall, the experience was professional and the communication was clear throughout the process.
Perguntas de entrevista [1]
Pergunta 1
Walk me through your CV / background
Why do you want to work at BNP Paribas?
Why this internship / this team specifically?
Basic technical or case-based questions (depending on the role)
Situational questions (teamwork, problem solving, handling deadlines)