Job Description Summary Understand complex and critical business problems, formulates integrated analytical approach to mine data sources, employ statistical methods and machine learning algorithms to contribute solving unmet medical needs, discover actionable insights and automate process for reducing effort and time for repeated use. To manage the implementation and adherence to the overall data lifecycle of enterprise data from data acquisition or creation through enrichment, consumption, retention, and retirement, enabling the availability of useful, clean, and accurate data throughout its useful lifecycle. High agility to be able to work across various business domains. High agility to be able to work across various business domains. Integrate business presentations, smart visualization tools and contextual storytelling to translate findings back to business users with a clear impact.Job Description Sandoz is the global 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.Your responsibilities will include:Drives model development of complex solutions using ML/deep learning and advanced statistical methodsselects appropriate techniques for the question/problemDevelops/improves data management techniques, algorithms,



methods and quantitative approachesextracts 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 role:4-6 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 ReceiveSandoz compensation is determined by job level, qualifications, niche skills, experience, and location within company salary ranges. Fully proficient and highly effective employees can expect a starting salary around market median, with those new to the level or with less functional depth at the lower end of the range and those with sustained superior or niche skills towards the higher end of the range. Internal equity and external market data inform our range placement. Annual salary reviews consider performance outcomes, market alignment, and business needs.Why Sandoz?Generic and Biosimilar medicines are the backbone of the global medicines industry. Sandoz, a leader in this sector, provided more than 900 million patient treatments across 100+ countries in 2024 and while we are proud of this achievement,



we have an ambition to do more! With investments in new development capabilities, production sites, new acquisitions, and partnerships, we have the opportunity to shape the future of Sandoz and help more patients gain access to low-cost, high-quality medicines, sustainably. Our momentum is powered by an open, collaborative culture driven by our talented and ambitious colleagues, who, in return for applying their skills experience an agile and collegiate environment with impactful, flexible-hybrid careers, where diversity is welcomed and where personal growth is supported! Join us!Commitment To Diversity & InclusionWe are committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve. Hiring decisions are only based on the qualification for the position, regardless of gender, ethnicity, religion, sexual orientation, age and disability.Skills DesiredApache HadoopApplied MathematicsBig DataCuriosityData GovernanceData LiteracyData ManagementData QualityData ScienceData StrategyData VisualizationDeep LearningMachine Learning (Ml)Machine Learning AlgorithmsMaster Data ManagementProteomicsPython (Programming Language)R (Programming Language)Statistical ModelingOur Purpose here at Sandoz is pioneering access for patients. As the integral leader in 'off-patent' high quality medicines, we are able to make medicine more affordable and accessible. Our broad global portfolio comprises of approximately 1,300 quality biosimilar and generic medicines, enabling us to provide more than 900 million patient treatments across 100+ countries per year, and while we are proud of this achievement, we have an ambition to do more! Powered by our talented and ambitious colleagues, who, in return for dedication and skills, experience a flexible, collaborative & inclusive culture where diversity of thought is welcomed and where personal growth is nurtured!
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📌 Expert Data Science (Madrid)
🏢 ES14 (FCRS = ES014) Sandoz Farmacéutica
📍 Madrid