Data Scientist

Summary

Join Veeva Systems, a leading life sciences industry cloud company, as a fully remote Analyst/Data Scientist. You will leverage your scientific data expertise and healthcare knowledge to deliver impactful business insights through data analytics, data science, and visualization. Working within the Analytics team, you will analyze data from Veeva Data Cloud and external sources, build dashboards, and utilize machine learning techniques. You will collaborate with consultants, present findings to senior stakeholders, and support innovative projects. This role offers flexibility to work remotely and opportunities for professional development. Veeva is committed to fostering a diverse and inclusive workplace.

Requirements

• MD/PhD/MSc with a thorough understanding of scientific activities from medical experts (congresses, publications, etc.)
• Experience with data analytics and large/complex datasets
• Succinct, clear, and logical working style
• Collaborative and flexible working style
• Ambition for high-quality and self-motivated work
• Qualified candidates must be based and legally authorized to be employed in the UK/Europe. Veeva does not provide sponsorship for employment visa status for this employment position

Responsibilities

• Analyze data from Veeva Data Cloud and also external data
• Design, build, and maintain visualizations/dashboards/data pipelines to identify relevant data trends
• Leverage machine learning, NLP, GenAI, and other data science techniques to uncover insights
• Clearly and confidently describe the data structure and analytical approach you adopt to solve a specific business question
• Work in a collaborative cross-functional team delivering business-relevant data analytics and insights for pharma to support their R&D, pre-launch, launch, and post-launch strategies
• As required, present your findings and recommendations to senior stakeholders at pharma and justify your findings
• Support innovation and large-scale transformative insights projects

Preferred Qualifications

• Experience with business intelligence tools (Tableau, Spotfire, PowerBI, Qlik, etc.)
• Experience with Python, prompt engineering, machine learning, or NLP
• Experience in structuring and successfully executing large and complex insights projects
• Understanding of medical and commercial needs of global pharmaceutical customers
• Confidence, comfort, and familiarity in driving discussions with senior stakeholders in pharma

Benefits

• Allocations for continuous learning & development
• Charitable allowance
• Health and wellness programs
• Remote work