Data Scientist - Credit Risk & Automation Innovator

Novicap; Barcelona; Hybrid; EUR 55,000 - 90,000; Full time

Benefits offered by this job

Flexible benefits

Health insurance subsidized 30%

Gym membership subsidized

Free language classes

Dynamic work environment

Company events

Job summary

A leading financial solutions provider in Barcelona is seeking a Data Scientist to enhance automation in business processes. You will work closely with the Engineering team to monitor credit levels and improve decision-making. Ideal candidates have strong experience with data manipulation tools and an understanding of credit risk. This role offers a hybrid work model, flexible benefits, and opportunities for professional growth in a dynamic environment.

Qualifications

• 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 decision processes.
• Experience in building pipelines for model training, testing, deployment.
• Strong SQL skills for data querying and transformation.
• Understanding of cloud services for data storage and model deployment.

Responsibilities

• Monitor and maintain target credit and fraud levels.
• Continuously improve approval rates within defined risk appetite.
• Increase automation in decision-making and process execution.
• Introduce alternative data sources for innovative products.

Skills

pandas

NumPy

scikit-learn

matplotlib

seaborn

Plotly

statsmodels

SQL

Docker

AWS

GCP

Azure

Job description

A leading financial solutions provider in Barcelona is seeking a Data Scientist to enhance automation in business processes. You will work closely with the Engineering team to monitor credit levels and improve decision-making. Ideal candidates have strong experience with data manipulation tools and an understanding of credit risk. This role offers a hybrid work model, flexible benefits, and opportunities for professional growth in a dynamic environment.