SummaryThe Barcelona Digital Finance hub is a start-up within Novartis, which crafts finance business partnering solutions demonstrating innovation and talent. Artificial intelligence and predictive analytics are reshaping the function and this new team will be a differentiator, encouraging new ideas. To add even greater value for the business we need to have the right people with the right capacities in the right location. We need ground-breaking innovation, customer-orientation and focus on bringing the best services and solutions to the business – both globally and locally – to support Finance. We are looking for early talent with experience in consulting or business partnering who are eager to make a difference.The hub offers a real opportunity to develop in a highly fast-paced, multicultural, technology-driven environment where collaboration and innovation are at the heart of who we are and what we do.About the RoleYour responsibilities include, but are not limited to:Translate business questions into analytical problems and build solutions using visualization techniques, machine and deep learning, and statistical modeling.Search and develop 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 the status quo.Identify research articles and reproduce/apply innovative methodology to Novartis business problems.Provide understandable and meaningful business intelligence for key partners.Bring understanding of one or more areas of data sciences and demonstrate practical knowledge of techniques.Help develop new quantitative methods with the aim of improving processes in various projects and developing new analysis opportunities by integrating existing and new data sources.Support various projects of limited scope.Role Requirements: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 modeling and large data analysis.Experience in statistical/analytics tools such as R, SAS, Python or big data technologies for machine learning.Expertise in at least one visualization tool (QlikView, Spotfire, Tableau) for crafting insights.A track record of innovating through machine learning, databases and statistical algorithms and their applications.Hands-on experience with data mining, its concepts, techniques and implementation.Fluent English (written and verbal).Desirable requirements:Business proficient in Spanish (written and spoken).Commitment to Diversity & Inclusion: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.
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