Junior Data Scientist - SCIBCountry: SpainWHAT YOU WILL BE DOINGSCIB is looking for a JUNIOR DATA SCIENTIST based in our Boadilla del Monte (Madrid) office.WHY YOU SHOULD CONSIDER THIS OPPORTUNITYSantander 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 businesses prosper.WHAT YOU WILL BE DOINGAs a Junior Data Scientist, you will design, construct, and pilot 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 industrialized features, working closely with other data/ML engineers.Engage in fundamental research to develop novel solutions.Maintain a deep understanding of the business's marketplace dynamics.Define, together with internal stakeholders, business cases to quantify data science solutions benefits, costs, and impact. Present results in a clear manner.Keep updated on the latest trends and new techniques in data science and artificial intelligence.EXPERIENCE- 2 years of relevant experience in Data Scientist role with a strong background in mathematics and computer science.- Demonstrated experience of principles, technologies, and algorithms of machine learning.EDUCATION- University Degree in Statistics, Mathematics, Computer Science, Economics, Physics, Engineering, or related scientific disciplines.SKILLS & KNOWLEDGE- High level of Spanish and English.- 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: SQL.If you want to know more about us, follow us on: _LI-PP1Idiomas- Spanish#J-18808-Ljbffr
