Remote Data Scientist — Life Sciences Analytics (EU)

Veeva Business Consulting; England; Remote; GBP 60,000 - 110,000; Full time

Benefits offered by this job

Public Benefit Corporation (PBC)

Job summary

Veeva Business Consulting is seeking a Data Scientist to design and scale advanced analytics solutions across European Life Sciences customers, integrating Veeva Data Cloud with diverse healthcare datasets and CRM information.

You will apply statistical methods and ML to solve high-impact business questions, collaborating with product managers, data engineers, and consultants to deliver end-to-end solutions with clear, defensible methodologies.

Qualifications

• 2+ years of data science, analytics, or ML experience in Life Sciences, pharma, or healthcare analytics.
• Strong ability to translate complex technical challenges to non-technical stakeholders and drive pragmatic solutions.
• Proficient in Python, SQL, ML/AI model development and deployment.
• Experience writing process docs, technical specs, and data collection guidelines.

Responsibilities

• Design, prototype, and scale advanced analytics solutions for Life Sciences customers across European markets.
• Process, harmonize, and connect Veeva Data Cloud products with diverse European healthcare data assets.
• Develop and apply statistical methods, machine learning, and AI models to address high-impact business questions in Life Sciences.
• Build HCP precision engagement engines integrating datasets with CRM information for data-driven targeting.

Skills

Python

SQL

Machine Learning

Data Science

Communication

Cross-functional collaboration

Education

MS/PhD in Computer Science or related quantitative field

Tools

Apache Airflow

AWS

Data Visualization tools

Job description

Veeva Business Consulting is seeking a Data Scientist to design and scale advanced analytics solutions across European Life Sciences customers, integrating Veeva Data Cloud with diverse healthcare datasets and CRM information.

You will apply statistical methods and ML to solve high-impact business questions, collaborating with product managers, data engineers, and consultants to deliver end-to-end solutions with clear, defensible methodologies.