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# Data Scientist, GenAI & Advanced Analytics

- **Company:** IQVIA
- **Location:** Amsterdam, Netherlands
- **Contract:** Permanent contract
- **Skills:** Business Analytics Applications, Microsoft Azure, Python (Programming Language), Machine Learning, Tensorflow, Software Engineering, SQL Databases, Cloud Platform System, Generative AI, Information Technology
- **Published:** October 20, 2026
- **Apply:** https://dejobs.org/x/x/A7B9C8989B4A41AC90A32A83349BD76E/job/

## About the Role

* Master's or PhD in Data Science, Computer Science, Software engineering, Statistics, Mathematics, or a related field.
 * 3+ years of experience in data science or advanced analytics role or PhD with at least 1 year of relevant professional experience.
 * Strong expertise in Statistical & Machine Learning methods, experience developing GenAI applications is a strong plus.
 * Proficiency in Python, SQL, and machine learning frameworks.
 * Experience with Cloud platform, especially Azure.
 * Excellent communication skills and ability to work in a multicultural, cross-functional team.
 * Fluency in German as big plus and English.
 * Knowledge of pharmaceutical market, experience with pharmaceutical data (medical, hospital, pharmacy, claims data).

## Description

We are seeking a highly motivated and curious Data Scientist to join our team. In this role, you will develop new products, enhance existing solutions and support innovative projects. You will collaborate with cross-functional teams to develop statistical solutions and predictive models, uncover insights from complex datasets, and support GenAI application development., * Design, development and deployment of innovative analytics solutions using Advanced Statistical Methods, Machine Learning and GenAI.

 * Collaboration with business units, software engineering and production teams to develop and implement solutions.
 * Support in development of new offerings and adhoc analysis applying statistical expertise in areas such as anomaly detection for quality control, data imputation & projection methodologies.
 * Support client projects for patient and commercial analytics applying state of the art methods from machine learning, causal analysis and GenAI.