Data Scientist, GenAI
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AI & Data Science Office AI & Data Science Office is IQVIA’s Global center of excellence for Data Science & AI. The team designs and implements complex analytical solutions at the highest level to support clients in the healthcare industry and builds GenAI applications for customer projects and internal teams. As part of our team, you can expect exciting and innovative projects in an international environment with attractive development opportunities.
About the Role
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.Key Responsibilities
- 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.
Qualifications
- 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).