Sandoz 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+ countries
How 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 include:
Drives model development of complex solutions using ML/deep learning and advanced statistical methods; selects appropriate techniques for the question/problem
Develops/improves data management techniques, algorithms, methods and quantitative approaches; extracts insight from structured and unstructured data
Applies external research methodologies to business problems and proposes scalable approaches
Produces actionable insights and communicates recommendations to stakeholders
Reporting of technical complaints/adverse events within 24 hours (where applicable); distribution of marketing samples (where applicable)
What you need to bring to the role:
4–6 years in data science or analytics roles, delivering models in production
Consulting experience in Advanced Analytics is a plus
Fluent English is a must.
Proven experience with ML models (classification, regression, clustering) and forecasting
Strong programming (Python) and SQL experience
Exposure 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 skills
Strong problem-solving
What You'll Receive
Sandoz compensation is determined by job level, qualifications, niche skills, experience, and
📌 Expert Data Science (Madrid)
🏢 Sandoz International
📍 Madrid
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