Data Scientist

Key Responsibilities 

• Build solutions using visualization techniques, machine learning, and statistical modeling.
• Support on the 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. ​

Essential Requirements

• 1,5 + years of relevant experience in Data Science
• Degree in Mathematics, Statistics, Computer Science, Physics or in a quantitative field.
• Track record delivering global solutions at scale.
• In-depth mastery of external environment and trends
• In depth knowledge of Artificial Intelligence (AI), Machine Learning
• Experience in Python is a must
• Professional level of English, both written and spoken
• Strong collaboration skills and ability to work effectively across functions and teams.

Commitment to Diversity & Inclusion 

Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.