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# Expert Data Science

- **Company:** Novartis
- **Location:** Barcelona, Spain
- **Salary:** €35,000.0 - €65,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Python (Programming Language), Machine Learning, SQL Databases, Retrieval-Augmented Generation, Large Language Models, Model Validation, Generative AI, Information Technology
- **Published:** July 23, 2026
- **Apply:** https://es.indeed.com/viewjob?jk=637673b85ea319e4

## About the Role

* Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Artificial Intelligence, or a related field.
 * 2-5 years of experience in data science, machine learning, advanced analytics, or applied artificial intelligence.
 * Proficiency in Python and SQL for data analysis, model development, and scalable solution delivery.
 * Strong knowledge of statistics, predictive modeling, forecasting, machine learning, and model evaluation techniques.
 * Experience translating business requirements into analytical solutions with measurable business impact.
 * Ability to communicate complex analytical findings clearly to technical and non-technical stakeholders.

Desirable Requirements

 * Experience applying data science, forecasting, planning, or performance analytics within Finance or similar business functions.
 * Exposure to Generative Artificial Intelligence, large language models, retrieval-augmented generation, or Agentic Artificial Intelligence frameworks.

## Description

* Design and deploy data science and artificial intelligence solutions that enhance finance planning and decision-making.
 * Develop predictive, prescriptive, and machine learning models that generate actionable business insights.
 * Transform complex business challenges into scalable analytics products, models, dashboards, and recommendations.
 * Collaborate with Finance stakeholders to identify high-value opportunities and drive solution adoption.
 * Prepare, validate, and optimize enterprise datasets to support analytics, reporting, and artificial intelligence initiatives.
 * Implement model monitoring, governance, and Responsible Artificial Intelligence practices across solution lifecycles.
 * Contribute to Generative Artificial Intelligence, large language model, retrieval-augmented generation, and Agentic Artificial Intelligence initiatives.


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