Data Scientist - Analytics Business Consulting
About this role
Based in Barcelona, Spain, the Data Scientist position at Veeva focuses on transforming life sciences commercial models using advanced analytics, AI, and healthcare data assets. This full-time role is suited for professionals with a background in machine learning who want to help pharmaceutical and healthcare clients accelerate treatments for patients.
Role Overview
Working within the EU Analytics practice, the professional in this role helps customers bring treatments to patients faster by reshaping operating models and measuring business value. Responsibilities include building advanced analytical models, integrating data assets, and collaborating with cross-functional teams across European markets.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Launched in 2019, Veeva Business Consulting builds the industry cloud for Life Sciences through software, data, AI, and business consulting. Operating as a Public Benefit Corporation, the organization combines domain knowledge with technology to help life sciences companies work efficiently.
How to Apply
Candidates should apply on the official company careers page.
Skills and tech stack
Questions candidates ask
What is the location of this job?
The position is based in Barcelona, Spain, with a Work Anywhere policy allowing employees to work from home or the office.
What is the salary range for the Data Scientist role?
The total compensation range is 48,000 to 75,000 EUR, which may include variable bonuses or stock bonuses depending on qualifications.
How many years of experience are required?
Candidates must have at least 2 years of proven experience in data science, advanced analytics, or machine learning roles.
What technical skills are necessary?
Applicants need strong technical expertise in Python, SQL, advanced analytics, machine learning, and artificial intelligence.
What does the interview process look like?
The process includes an initial resume review, a third-party personality assessment, a conversation with the hiring manager, a practical case exercise, and a final conversation with a senior group leader.