Data Scientist

Data Scientist - SCIB

Country: Spain

**WHAT YOU WILL BE DOING**

**SANTANDER CORPORATE & INVESTMENT BANKING is looking for a DATA SCIENTIST based in our Boadilla del Monte office.**

**WHY YOU SHOULD CONSIDER THIS OPPORTUNITY**

**Santander Corporate & Investment Banking (Santander CIB) **is Santander's global division that supports some of the world's most complex and sophisticated corporate and institutional clients, offering customized services and value-added wholesale products to best meet their needs.

We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management.

Santander is proud of being an organization where there are equal opportunities regardless of gender identity, culture and disability. Our mission is to contribute to help more people and business prosper.

**WHAT YOU WILL BE DOING**

As a **Data Scientist **you will design, construction and piloting advanced analytics techniques and Machine Learning scalable solutions to solve business needs in Santander Corporate & Investment Banking.

We need someone like you to help us in different fronts:

- Develop tools and services from POCs to industrializ ed features, working very close with other and data/ML engineers. Engage in fundamental research to develop novel solutions.
- Maintain a deep understanding the business’s marketplace dynamics.
- Participates, together with the data scientists experts and the business, in the process of Business case’s to quantify data science solutions benefits, costs, and impact.
- Keep updated of the latest tendencies and new techniques about data science and artificial intelligence topics.

**EXPERIENCE**
- 3+ years of rel evant experience in Data Scientist role with a strong background on mathematics and computer science.
- Knowledge in Corporate and Investment Banking Business will be a plus.

**EDUCATION**
- University Degree in Statistics, Mathematics, Computer Science, Economics, Physics, Engineering, or related scientific disciplines.

**SKILLS & KNOWLEDGE**
- High level of Spanish and English is a must.
- Programming Languages: Python.
- Machine Learning and Deep Learning: Classification, Regression, Clustering, Unsupervised methods, Text Mining. Excellent understanding of Random Forests, Gradient Boosting, Neural Networks, Logistic Regression, SVM, KNN, K-Means, etc. Parametric and non-parametric statistics.
- Database handling: SLQ.
- Visualization Tools: PowerBI, QlickSense, Python visualization libraries (matplotlib) is a plus.
- Knowledge in Corporate and Investment Banking Business will be a plus.
- Microsoft office.

**OTHER INFORMATION**
- Availability to travel sporadically.