Data pipeline understandingSandoz is the integral leader in Biosimilar and Generic medicines, a segment of the healthcare industry that delivers 80% of the world’s medicines at 30% of the cost, touching the lives of more than 1 billion people across 100+ countriesHow will we achieve our ambition? We aim to continue to simplify structures, streamline processes and use smarter tools. We’re aiming to reduce complexity and costs. This means faster decisions, clearer priorities and more time to focus on what matters most.As Expert Data Science at our Finance Innovation and Operations Hub, you'll demonstrate deep technical expertise & drive complex model development.Your Responsibilities Will IncludeDrives model development of complex solutions using ML/deep learning and advanced statistical methods; selects appropriate techniques for the question/problemDevelops/improves data management techniques, algorithms,



methods and quantitative approaches; extracts insight from structured and unstructured dataApplies external research methodologies to business problems and proposes scalable approachesProduces actionable insights and communicates recommendations to stakeholdersReporting of technical complaints/adverse events within 24 hours (where applicable); distribution of marketing samples (where applicable)What You Need To Bring To The Role4–6 years in data science or analytics roles, delivering models in productionConsulting experience in Advanced Analytics is a plusFluent English is a must.Proven experience with ML models (classification, regression, clustering) and forecastingStrong programming (Python) and SQL experienceExposure to big data tools (e.g., Spark, Dask) and cloud platforms (e.g., Databricks)Experience building data pipelines and production‑ready code (e.g., Airflow, MLflow)Strong problem‑solving and stakeholder communication skillsAdvanced ML/AI techniquesFeature engineering & model optimizationData pipeline understandingStrong problem‑solvingWhat You’ll Receive

📌 Expert Data Science (Madrid)
🏢 Sandoz Iberia
📍 Madrid