Data Scientist, GenAI & Advanced Analytics

October 19, 2026

Senior

Barcelona

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English is required

Description

The AI & Data Science Office is a global center of excellence for Data Science & AI that designs complex analytical solutions for healthcare clients and builds GenAI applications. The Data Scientist will develop new products, enhance existing solutions and support innovative projects. The role involves collaborating with cross-functional teams to build statistical solutions and predictive models, uncover insights from complex datasets, and support GenAI application development.

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

Requirements

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 English; fluency in German is a big plus
Knowledge of pharmaceutical market, experience with pharmaceutical data (medical, hospital, pharmacy, claims data)

Conditions

Full-time employment
Exciting and innovative projects in an international environment with attractive development opportunities

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