Data Scientist – Scoring Center (M/F) Lisboa

Data Scientist – Scoring Center (M/F)
Lisboa
Lisboa, Lisboa, Portugal

Join to apply for the Data Scientist – Scoring Center (M/F) role at BNP Paribas Personal Finance

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 focus on innovation to open new opportunities. In others, we are a
- growing business. Across all markets, we value relationships, knowledge sharing, and responsible action.

In practice, your
-
- day

1. As a Senior Data Scientist in the Scoring Center team, you will undertake projects to build risk prediction models. Your main responsibilities will be:
1. Assess needs, define deliverables, estimate effort and timeframes, and develop implementation plans for modelling projects. Use statistical methods (Logistic Regression, Random Forest, Gradient Boosting, etc. ), analyze, and explain results.
2. Lead projects, monitor schedules, support implementation and monitoring of tools.
3. Participate in score model monitoring campaigns: generate and analyze results, diagnose issues, and develop action plans.
4. Conduct or analyze statistical studies related to risk prediction models. Support analytical missions for international entities and address audit recommendations related to Basel regulations.
5. Contribute to transversal missions: technological and methodological watch, regulatory compliance, training, and support for international groups.
2. Enjoy the team and workplace environment:
1. Join BNP Paribas Personal Finance and integrate the Analytics Hub, a creative, international team. The working language is English.
2. Work within the Lisbon-based Scoring Center, consisting of 30 Data Scientists. The team is new and growing together, sharing ideas and experiences.
3. Receive onboarding,
   -
   - job training, online learning, and networking opportunities.
3. Qualifications and skills:
1. Degree in Mathematics or Statistics.
2. At least 2 years of experience in risk environments, preferably banking.
3. Strong skills in Python and data science libraries.
4. Experience with modelling environments and data lab tools.
5. Knowledge of machine learning model industrialization.
6. Able to manage multiple projects with accuracy.
7. Fluent in English, both oral and written.
8. Enthusiastic, energetic, motivated candidates are encouraged to apply.

Our commitments

• BNP Paribas is an equal opportunity employer promoting diversity and inclusion.
• We value diverse profiles as drivers of innovation.

What makes us proud as a reference employer?

• Top Employer Portugal and Europe certifications for seven consecutive years.
• High employee satisfaction with inclusive management and hybrid work policies.
• Strong brand reputation among customers.