Job Descriptionan exciting year for Novartis as we accelerate our growth in the digital space.
The Barcelona Digital Finance hub is startup 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.
Minimum requirementsYour key responsibilities:
Your responsibilities include, but not limited to:
•Translate business questions into analytical problems and build solutions using visualization techniques, machine and deep learning, and statistical modelling
•Search and develop new algorithms, methods, statistical models and business models, providing insight into structured and unstructured data.
•Quickly learn and pilots the use of tools, data sources and analytical techniques needed to answer a wide range of critical business questions and to improve 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 is able to 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
•Support various projects, of limited scope.
•Proficient in English (spoken and written)
What you’ll bring to the role:
•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 statistical/analytics tools such as R, SAS, Python or big data technologies for machine learning
•Expertise in at least a visualization tools QlikView, Spotfire, Tableau for crafting insights.
•A track record of innovating through machine learning, data bases and statistical algorithms and their applications. Hands on experience with data mining, its concepts, techniques and implementation.
•Business proficient in Spanish (written and spoken)
•Knowledge of European languages have an added advantage
•Candidates looking for an international career, open to relocate to different countries and with a global demeanour.
As a curious organization, we provide endless opportunities to learn and grow through remote, online and classroom learning services across a broad range of topics.
Company Pension Plan; Life and Accidental Insurance; Meals Allowance or Canteen in the office; Flexible working hours