Data Scientist Full-time NEW

Data Science

Location: Barcelona, Spain. Novartis is unable to offer relocation support. Please apply only if this location is accessible.

As a Data Science, you will play a key role in delivering impactful data science solutions, collaborating closely with expert peers and senior experts to transform complex project needs into meaningful outcomes for patients and the organization.

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.

Skills Desired

Ability To Influence Key Stakeholders, Artificial Intelligence (AI), Curious Mindset, Data Cleansing, Data Literacy, Data Quality, Data Science, Data Visualization, Data Visualization Tools, Deep Learning, Employee Engagement, Financial And Management, Generative AI, Learning Agility, Machine Learning (ML), Market Understanding, Normalization, Planning & Analysis, Process Optimization, python, Reporting Compliance And Controls, sql, Statistical Data Analysis, Time Series Analysis, Understanding Value Drivers