IT & Software

Data Scientist - Analytics Business Consulting

Veeva Systems

Remote · Nationwide · United Kingdom

Overview

In this role you will design and scale advanced analytics for Life Sciences across European markets, leveraging Veeva Data Cloud and diverse healthcare data assets. You’ll transform data into actionable insights, build predictive models, and connect analytic work with business value. You’ll collaborate with product, data engineering, and consulting teams to deliver end-to-end solutions, while ensuring clear methodologies and defensible results. This is an opportunity to shape data-driven commercial models at a leading life sciences software and services provider.

Pay / Benefits
  • Highly competitive salary and equity
  • Unrivalled career progression
  • Work Anywhere company policy
  • Remote work options
  • Flexible work arrangements
  • Office hubs and social collaboration opportunities
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 statistical methods, ML, and AI to solve high-impact business questions
  • Build HCP precision engagement engines integrating healthcare data with CRM for targeted activation
  • Collaborate in cross-functional teams to deliver end-to-end analytical solutions with iterative feedback
  • Maintain documentation of data methodologies, model architectures, and validation processes
Key requirements
  • 2+ years of experience in data science, analytics, or ML, preferably in Life Sciences/healthcare
  • Strong problem-solving and cross-functional collaboration skills
  • Proficiency in Python and SQL; experience with predictive modeling and AI
  • Experience writing process docs and technical specifications to ensure quality and scalability
  • Strong communication and ability to translate technical challenges to non-technical stakeholders
  • Collaborative mindset across cross-functional teams
  • Pragmatic approach to solution design
  • Python
  • SQL
  • Machine Learning

Reference: WJ-747_30487869

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