Remote Data Scientist - EU Life Sciences Analytics

Veeva Business Consulting; Hurley; Remote; GBP 60,000 - 100,000; Full time

Job summary

Veeva Business Consulting in the United Kingdom is seeking a Data Scientist to join our EU Analytics practice. You will build advanced analytics models and connect Veeva Data Cloud with European healthcare data to drive data-driven commercial insights.

You will collaborate with product managers, data engineers, and consultants to deliver end-to-end solutions, documenting methodologies and ensuring scalable, transparent analytics across client engagements.

Qualifications

• 2+ years of data science or analytics experience.
• Strong ability to translate complex problems to non-technical stakeholders.
• Proficient in Python, SQL, ML/AI with predictive modeling experience.
• Experience documenting processes and data collection guidelines.
• Healthcare/Life Sciences domain familiarity is a plus.

Responsibilities

• Design, prototype, and scale analytics solutions for Life Sciences customers across European markets.
• Process, harmonize, and connect Veeva Data Cloud with European healthcare data assets.
• Develop and apply ML/AI models to answer high-impact business questions in Life Sciences.
• Build HCP engagement engines connecting datasets with CRM for targeted activation.
• Collaborate with product managers, data engineers, operations, and consultants on end-to-end solutions.
• Document data methodologies, model architectures, and validation for defensibility and scalability.

Skills

Python

SQL

Advanced analytics

Machine learning

Communication

Documentation

Tools

Airflow

AWS

BI / Visualization

Job description

Veeva Business Consulting in the United Kingdom is seeking a Data Scientist to join our EU Analytics practice. You will build advanced analytics models and connect Veeva Data Cloud with European healthcare data to drive data-driven commercial insights.

You will collaborate with product managers, data engineers, and consultants to deliver end-to-end solutions, documenting methodologies and ensuring scalable, transparent analytics across client engagements.