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# Sr Data Science Consultant

- **Company:** IQVIA
- **Location:** Madrid, Spain
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Clinical Data Repository, Extract Transform Load (ETL), Python (Programming Language), Machine Learning, Object-Oriented Software Development, Software Organization, Git, Xgboost, Artificial Intelligence Markup Language (AIML)
- **Published:** October 15, 2026
- **Apply:** https://www.buscojobs.com.es/sr-data-science-consultant-en-madrid-ID-376388845

## About the Role

Compensaciones / Beneficios * Develop ML solutions on large-scale medical data for disease detection and outcome prediction * Translate client requirements into production analytics (patient identification and HCP targeting) * Prototype and validate new methodologies on live client delivery * Partner with engineering and product to productionize and scale successful approaches * Contribute to AI/ML enablement proofs of concept for healthcare and pharma clients Responsabilidades * 4-8 years of relevantexperience in Data Science / Machine Learning * Experience in Healthcare, Pharma, or Life Sciences * Experience developing machine learning algorithms and predictive models * Strong knowledge of statistics and supervised ML methods (e.g., regression, XGBoost, SVM) * Strong Python skills (including OOP) for ML and ETL pipelines * Experience with large healthcare datasets (Claims, EMR, consumer data) * Experience with Git and software development best practices * Experience
mentoring junior team members * Strong communication and stakeholder management skills * Ability to work independently and collaborate in cross-functional teams Requisitos principales *

## Description

Experteer Overview As a Data Scientist / AIML Engineer in IQVIA's Healthcare Data Science team, you will build ML solutions on large-scale medical data to support disease detection and patient outcome prediction.You'll translate client needs into production analytics and work with engineering and product to scale successful approaches.You'll contribute to AI/ML enablement proofs of concept that extend offerings for healthcare and pharma clients.This is a collaborative, impact-focused role at the center of real-world evidence and lifecycle analytics.Compensaciones / Beneficios * Develop ML solutions on large-scale medical data for disease detection and outcome prediction * Translate client requirements into production analytics (patient identification and HCP targeting) * Prototype and validate new methodologies on live client delivery * Partner with engineering and product to productionize and scale successful approaches * Contribute to AI/ML enablement proofs of concept for healthcare and pharma clients Responsabilidades * 4-8 years of relevantexperience in Data Science / Machine Learning * Experience in Healthcare, Pharma, or Life Sciences * Experience developing machine learning algorithms and predictive models * Strong knowledge of statistics and supervised ML methods (e.g., regression, XGBoost, SVM) * Strong Python skills (including OOP) for ML and ETL pipelines * Experience with large healthcare datasets (Claims, EMR, consumer data) * Experience with Git and software development best practices * Experience mentoring junior team members * Strong communication and stakeholder management skills * Ability to work independently and collaborate in cross-functional teams Requisitos principales *