
Data Scientist - Digital Finance Hub
- Barcelona
- Permanente
- Tiempo completo
- Support on the Python development of new algorithms, methods, statistical models and business models, providing insight into structured and unstructured data.
- Quickly learn and pilot the use of tools, data sources and analytical techniques needed to answer a wide range of critical business questions and to improve status quo.
- Bring understanding of one or more areas of data science and demonstrate practical knowledge of techniques.
- Help developing new quantitative methods with the aim of improving processes in various projects and developing new analysis opportunities by integrating existing and new data sources.
- -3 years of experience as Data Scientist
- Degree in Mathematics, Statistics, Computer Science, Physics or in a quantitative field
- Academic experience in a multidisciplinary data & analytics environment or in research.
- Experience in predictive modelling and large data analysis.
- Experience in Python
- Experience in SQL
- Strong analytical and problem-solving skills.
- Good communication and presentation skills
- Interest to grow and develop in the Finance sector
- Fluent English (written and verbal)
Novartis embraces diversity, equal opportunity and inclusion. We are committed to building diverse teams, representative of the patients and communities we serve, and we strive to create an inclusive workplace that cultivates bold innovation through collaboration, and empowers our people to unleash their full potential.Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to learn more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/networkSkills Desired Ability To Influence Key Stakeholders, Data Cleansing, Data Visualization, Employee Engagement, Financial And Management, Market Understanding, Normalization, Planning & Analysis, Process Optimization, Reporting Compliance And Controls, Understanding Value Drivers