Data Scientist – Scoring Center (M/F)
- Híbrido
- Tempo inteiro
- Intermédio
Descrição
BNP Paribas Personal Finance, a leading player in personal and consumer credit across 30+ countries, is seeking a Data Scientist for its Scoring Center team in Lisbon. As a Data Scientist, you will undertake projects to build risk prediction models using statistical modelling methods such as Logistic Regression, Random Forest, and Gradient Boosting. You will assess client needs, define deliverables, estimate timelines, and lead projects from implementation through monitoring and optimization of score models.
Your responsibilities will include conducting statistical studies related to risk prediction, participating in monitoring campaigns to analyze results and develop action plans, and contributing to transversal missions such as technological and methodological watch, regulatory compliance, and training. You will work within the Analytics Hub, an innovative international team of 30 Data Scientists, and provide analytical support to the Group's international entities as needed.
You will be joining a newly established Lisbon team where colleagues are growing together in a collaborative environment. BNP Paribas offers comprehensive onboarding, on-the-job training, online learning, and networking opportunities, along with a hybrid work environment and strong commitment to diversity and inclusion.
Competências
- Python
- Logistic Regression
- Random Forest
- Gradient Boosting
- Statistical Modelling
- Machine Learning Model Industrialization
- Data Science Libraries
- Risk Modelling
- Project Management
- Data Analysis
Responsabilidades
- Build risk prediction models using statistical modelling methods
- Assess client needs and define adapted deliverables with implementation plans
- Lead projects and track schedules for tool implementation and monitoring
- Participate in monitoring campaigns of scores: generation, analysis, and diagnosis of results
- Conduct or analyze statistical studies related to risk prediction models
- Provide analytical support to Group's international entities
- Process audit recommendations relating to Basel regulatory projects
- Contribute to transversal missions: technological watch, methodological watch, regulatory watch, and training
Benefícios
- Hybrid work environment (Smart Working policy)
- Comprehensive onboarding plan
- On-the-job training and online learning opportunities
- Networking opportunities
- Inclusive and diverse workplace
- Digital tools and modern workspaces