Data Scientist

Novicap is seeking a Data Scientist to join our team in Madrid. In this role, you will monitor credit and fraud levels, improve approval rates, and automate decision-making processes.

The ideal candidate will have strong experience with data science tools and techniques. You will work closely with the Head of Data and the Engineering team across Spain, contributing directly to innovative, customer-centric products., * Monitor and maintain target credit and fraud levels across all products.

• Continuously improve approval rates while staying within defined risk appetite.
• Increase automation across products, both in decision-making and process execution.
• Introduce and leverage alternative data sources for innovative products.

Conocimientos

pandas NumPy scikit-learn matplotlib seaborn Plotly statsmodels Descripción del empleo About Novicap, Novicap is an end-to-end working capital solutions provider focused on enabling CFOs and finance teams of SMEs to pay their suppliers and collect from their customers. This includes short-term credit (factoring, supply chain finance and loans) and payment automation solutions. With offices in Barcelona and Madrid, we are currently looking for a Data Scientist who wants to join our team. What will you do?

• Monitor and maintain target credit and fraud levels across all products.
• Continuously improve approval rates while staying within defined risk appetite.
• Increase automation across products, both in decision-making and process execution.
• Introduce and leverage alternative data sources to enable more innovative, customer-centric, and high-performing products.

Who will you be working with?

You will report directly to the Head of Data and work closely with the rest of the Engineering team in Barcelona and the rest of Spain. You are the right fit if you have:

• Strong experience with pandas, NumPy, scikit-learn, matplotlib/seaborn, Plotly, statsmodels, etc.
• Hands-on experience implementing supervised, unsupervised, and probabilistic models.
• Experience translating models into real products or automated decision

• Strong experience with pandas, NumPy, scikit-learn, matplotlib/seaborn, Plotly, statsmodels.
• Hands-on experience implementing supervised, unsupervised, and probabilistic models.
• Experience translating models into real products or automated decisions.