Data Scientist – Scoring Center (M/F)

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.

Day‑to‑day responsibilities

• As a Data Scientist in the Scoring Center team, you will undertake projects to build risk prediction models. Your main responsibilities include:
• Assessing needs expressed, defining and proposing adapted deliverables and estimating their burden and time frame through an implementation plan that takes into account challenges and constraints; using statistical modelling methods such as Logistic Regression, Random Forest, Gradient Boosting, analysing and explaining results.
• Leading the project, tracking the schedule and supporting the implementation and monitoring of the tools issued.
• Participating in monitoring campaigns of the score models: generating and analysing monitoring results, diagnosing and creating action plans.
• Conducting or analysing statistical studies related to risk prediction models, providing analytical support to the Group’s international entities and handling audit recommendations relating to the Basel regulatory project.
• Actively contributing to the Scoring Center’s transversal missions: technological and methodological watch, regulatory watch, training, and analytical support for the Group’s international entities.

Team and workplace

• Integrate the Analytics Hub, an innovative, international and creative team. Our working language is English.
• The Scoring Center team in Lisbon is new and diverse, with 30 Data Scientists. You will collaborate with colleagues sharing ideas and experiences.
• We provide an initial onboarding plan, on‑the‑job training, online learning and networking opportunities.

What we offer you

We will address this topic together, taking into account your training and experience.

Are you the one we are looking for?

• Do you have a Degree in Data Science, Mathematics or Statistics?
• Do you have a scientific background and at least 3 years of experience in a statistical or risk environment, preferably modelling in banking or insurance?
• Do you have good skills in Python?
• Are you proficient in a modelling environment or data lab and have strong knowledge of the main data science libraries?
• Do you have experience in machine‑learning model industrialisation?
• Are you able to work on several projects in parallel and recognised for your accuracy?
• Are you fluent in oral and written English?
• If you recognise yourself in this description, and you have a lot of enthusiasm, energy and motivation, then you are the one we are looking for!

We look forward to your application.

Our commitments
• BNP Paribas is an equal opportunity employer that provides equal employment opportunities to all job seekers. We incorporate the principles of Diversity and Inclusion in our values and practices.
• To achieve all our goals, we intend to attract, develop and retain different profiles, assuming diversity as an enabler and differentiator of innovation.
What makes us proud as reference employer?
• Top Employer Portugal and Top Employer Europe certification for the seventh consecutive year.
• 92% of our employees identify BNP Paribas as a company with "an inclusive management that supports all kinds of differences (age, origins, sexual orientation ")".
• 93% of employees benefit from the "Smart Working" policy, feeling comfortable in a hybrid work environment, and with digital tools and workspaces available.
• 71% of our customers are promoters of our brand.

Location: Lisbon, Portugal

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