Data Scientist

ID Finance; Barcelona; Híbrido; EUR 40.000 - 70.000; Jornada completa

Descripción de la vacante

A leading FinTech company in Barcelona is seeking a Data Scientist to enhance decision-making through data-driven insights. You will develop credit scoring and collection models, conduct data analysis, and collaborate with IT. Required skills include proficiency in Python and SQL, along with a solid understanding of machine learning. The role offers a dynamic work environment, private health insurance, gym discounts, and flexibility to work from home twice a week.

Servicios

Private health and dental insurance

Discounted gym membership

Freedom to work from home two days a week

Free coffee and snacks

Team building activities

Responsabilidades

• Develop and optimize credit scoring models using statistical and machine learning techniques.
• Conduct data analysis to identify risk factors and assess customer creditworthiness.
• Create reports and visualizations to monitor model performance.
• Collaborate with IT to deploy and support models.
• Test and fine-tune models based on market changes.

Conocimientos

Proficiency in Python (Pandas, NumPy, Scikit-Learn)

SQL skills to manage and analyze data

Foundational knowledge of machine learning

Experience with advanced ML techniques

Git version control

Solid understanding of statistics

Herramientas

Tableau

Power BI

Matplotlib

Seaborn

Descripción del empleo

ROLE PURPOSE

The purpose of the Data Scientist role in our risk department is to enhance the company’s decision-making capabilities through data-driven insights. By leveraging machine learning, statistical analysis, and data science methodologies, the Data Scientist will contribute to developing and refining credit scoring models, collection models, product models and portfolio optimization strategies. This position is central to driving innovation and improving our risk management and product processes in a dynamic FinTech environment.

PRIMARY RESPONSIBILITIES

• Develop and optimize credit scoring models using statistical and machine learning techniques.
• Conduct data analysis to identify risk factors, assess customer creditworthiness, and product behaviour.
• Create reports and visualizations to monitor model performance and portfolio quality.
• Collaborate with the IT team to deploy and support models in a production environment.
• Test and fine-tune models based on market changes, customer needs, and regulatory requirements.

KNOWLEDGE & SKILLS

Must-Have Skills

• Proficiency in Python (Pandas, NumPy, Scikit-Learn).
• SQL skills to manage and analyze data through complex queries.
• Foundational knowledge of machine learning, including linear and logistic regression, decision trees, and random forests.
• Experience with advanced ML techniques (e.g., gradient boosting) and libraries such as XGBoost, LightGBM, or CatBoost.
• Git version control for code management.
• Solid understanding of statistics (variance, correlation, p-value, t-tests, etc.).

Nice-to-Have Skills

• Familiarity with data visualization tools (Tableau, Power BI, Matplotlib, Seaborn).
• Understanding of regulatory requirements in Spain and Mexico’s lending sector, with knowledge of data protection laws.
• Experience with neural networks and deep learning libraries, such as PyTorch or TensorFlow.
• Ability to deal with external providers and to communicate in an appropriate & clear manner at different layers of the organization.

BENEFITS

💪 Private health and dental insurance

👟 Discounted gym membership

💻 Freedom to work from home two days a week

🍎 Kitchen with free coffee and fruit each Monday, Wednesday and Friday and snacks

🌍 Team building activities and work in an international and passionate environment

Don’t miss the opportunity to be part of a company that values innovation and talent!

Join us and take your career to the next level 🚀