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

Veeva Business Consulting; Broughton; Remote; GBP 60,000 - 90,000; Full time

Job summary

Veeva Business Consulting in the United Kingdom is seeking a Data Scientist to design, prototype, and scale advanced analytics solutions for Life Sciences customers across European markets.

You will integrate Veeva Data Cloud with diverse European healthcare data assets, develop ML/AI models, and enable data-driven targeting and activation while collaborating with product managers, data engineers, operations, and consultants.

Qualifications

• 2+ years of data science, advanced analytics, or ML experience, preferably in Life Sciences.
• Strong problem-solving and cross-functional communication skills.
• Able to translate complex tech challenges for non-technical stakeholders.
• Proficient in Python, SQL, ML/AI with predictive modeling experience.
• Experience writing process docs, 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 with European healthcare data assets.
• Develop and apply ML/AI models to solve high-impact commercial and strategic questions.
• Build HCP engagement engines linking datasets with CRM data for data-driven targeting.
• Collaborate with product managers, data engineers, operations, and consultants on end-to-end solutions.
• Document data methodologies, model architectures, and validation processes for defensibility.

Skills

Python

SQL

Advanced Analytics

Machine Learning

AI

Education

MS/PhD in CS/Stats

Tools

Apache Airflow

AWS

Job description

Veeva Business Consulting in the United Kingdom is seeking a Data Scientist to design, prototype, and scale advanced analytics solutions for Life Sciences customers across European markets.

You will integrate Veeva Data Cloud with diverse European healthcare data assets, develop ML/AI models, and enable data-driven targeting and activation while collaborating with product managers, data engineers, operations, and consultants.