EU Data Scientist — Life Sciences AI & Analytics (Remote)

Veeva Systems; Greater London; Hybride; GBP 70 000 - 95 000; Plein temps

Avantages offerts par ce poste

Salary and equity

Work from home or office

Global team growth

Résumé du poste

Veeva, a leading provider of cloud software for Life Sciences, is seeking a Data Scientist for EU Analytics to transform how customers work with Technology, Data, and AI. You will design analytics models, integrate Veeva Data Cloud with European healthcare data, and collaborate with cross-functional teams to deliver end-to-end solutions.

This role offers flexible work options (work from home or the office) and opportunities to shape innovative data-led commercial models across Europe.

Qualifications

• 2+ years in data science, advanced analytics, or ML, preferably Life Sciences.
• Strong problem-solving and ability to translate technical topics for non-technical stakeholders.
• Proficiency in Python, SQL, ML/AI techniques for predictive modeling.
• Experience writing process documentation and data collection guidelines.

Responsabilités

• Design, prototype, and scale advanced analytics solutions for Life Sciences customers across European markets.
• Integrate Veeva Data Cloud products with European healthcare data assets.
• Develop ML/AI models to answer high-impact business questions in Life Sciences.
• Build HCP precision engagement engines linked to CRM data for personalized targeting.
• Collaborate with product, data engineers, operations, and consultants on end-to-end analytics.
• Document data methodologies, model architectures, and validation processes.

Connaissances

Data Science

Python

SQL

ML/AI

Analytics

Documentation

Formation

MS/PhD in CS/Statistics/Math

Outils

Apache Airflow

AWS

Tableau/Power BI

Description du poste

Veeva, a leading provider of cloud software for Life Sciences, is seeking a Data Scientist for EU Analytics to transform how customers work with Technology, Data, and AI. You will design analytics models, integrate Veeva Data Cloud with European healthcare data, and collaborate with cross-functional teams to deliver end-to-end solutions.

This role offers flexible work options (work from home or the office) and opportunities to shape innovative data-led commercial models across Europe.