Data Scientist: Risk Scoring & Modeling, Hybrid

BNP Paribas Personal Finance; Lisboa; Híbrido; EUR 50 000 - 75 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Innovative team environment

On-the-job training

Networking opportunities

Resumo da oferta

A leading consumer finance company in Lisbon seeks a Data Scientist for the Scoring Center. The role involves building risk prediction models, leading projects, and conducting statistical studies. Candidates should possess a degree in Data Science, at least 3 years of experience in risk or statistical environments, and strong skills in Python. The company offers an inclusive culture and a hybrid work environment, encouraging innovation and teamwork.

Qualificações

• Minimum 3 years experience in a statistical or risk environment, preferably in banking or insurance.
• Good skills in Python and modelling environment.
• Fluent in oral and written English.

Responsabilidades

• Build risk prediction models and lead projects.
• Monitor and optimize score models.
• Conduct statistical studies related to risk prediction.

Conhecimentos

Python

Statistical Analysis

Risk Modelling

Machine Learning

Data Science Libraries

Formação académica

Degree in Data Science, Mathematics or Statistics

Descrição da oferta de emprego

A leading consumer finance company in Lisbon seeks a Data Scientist for the Scoring Center. The role involves building risk prediction models, leading projects, and conducting statistical studies. Candidates should possess a degree in Data Science, at least 3 years of experience in risk or statistical environments, and strong skills in Python. The company offers an inclusive culture and a hybrid work environment, encouraging innovation and teamwork.