SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Salary: EUR 48,000 - 75,000 / annual
Veeva Business Consulting, the consulting arm of Veeva Systems (a public benefit corporation), is seeking a Data Scientist to join its EU Analytics practice. You will work with Life Sciences companies to accelerate treatment delivery by transforming how they leverage technology, data, and AI. Your focus will be on reshaping operating models, driving organizational change, and measuring tangible business impact.
In this role, you will design, prototype, and scale advanced analytics solutions tailored to Life Sciences customers across European markets. You will process and harmonize Veeva Data Cloud products with diverse European healthcare data assets, developing statistical methodologies, machine learning, and AI models to address complex commercial and strategic business questions. A key responsibility is building HCP (Healthcare Professional) precision engagement engines that integrate disparate healthcare datasets with customer CRM systems to enable personalized, data-driven targeting and activation.
You will collaborate closely with cross-functional teams—including product managers, data engineers, operations, and consultants—to deliver end-to-end analytical solutions. You will own analytics assets throughout their lifecycle: designing solutions, managing stakeholder expectations, tracking status, and measuring impact. You will also maintain clear documentation of data methodologies, model architectures, and validation processes to ensure defensibility, scalability, and transparency across client engagements.
Veeva is a Work Anywhere company, offering flexibility to work from home or the office as needed. The company has headquarters in the San Francisco Bay Area and offices in more than 15 countries.
REQUIREMENTS:
- 2+ years of proven experience in data science, advanced analytics, or machine learning roles, preferably within Life Sciences, pharmaceuticals, or healthcare analytics
- Strong problem-solving and communication skills with a track record of collaborating effectively across cross-functional teams
- Ability to translate complex technical challenges to non-technical stakeholders and drive impactful problem-solving sessions
- Strong technical expertise in Python, SQL, advanced analytics, machine learning, and AI
- Proven ability to design and implement predictive models and intelligent algorithms
- Experience writing process documentation, technical specifications, and data collection guidelines
NICE TO HAVE:
- Knowledge of Veeva products
- Experience delivering SaaS or tech-enabled consulting solutions
- M.S. or Ph.D. in Computer Science, Statistics, Data Science, Mathematics, or related quantitative field
- Languages in addition to English
- Understanding of healthcare, life sciences, or pharmaceutical industry data
- Experience with data visualization tools for dashboards and reports
- Understanding of data engineering concepts (ETL, data pipelines) and automation tools such as Apache Airflow
- Familiarity with cloud-based computing resources such as AWS
