Data Scientist

stakeholders. Qualifications - Strong understanding of statistics, machine learning, and data mining techniques. - Proficiency in Python programming and data science libraries (NumPy, Pandas, Scikit-learn, TensorFlow, etc.). - Experience with data preprocessing, feature engineering, and model evaluation techniques. - Ability to translate complex technical concepts into actionable insights for non-technical audiences. - Knowledge of causal inference methodologies; knowledge of deep learning architectures and natural language processing is beneficial. - Familiarity with Large Language Models (LLMs) and their applications in business contexts is a plus. - Experience with version control systems (Git) and collaborative development practices. - Clean, maintainable code and familiarity with software engineering best practices. - Experience with cloud platforms (AWS, Azure, Google Cloud) and their machine learning services. - Experience with big data technologies (Spark, Hadoop) and SQL databases is a plus. - Proficiency in Spanish and English (written and verbal). Benefits - Adaptable start time from Monday to Friday. - Permanent contract. - Life and accident insurance. - Ticket restaurant. - Training and language learning platform. - Wellness platform with unlimited free psychologist sessions. - Cabify transportation service for employee use. - Development plans and internal mobility policy. - Many more Equal Opportunity Statement The InsudPharma group is aware that business management must align with the needs and demands of society, and therefore assumes the commitment to equal opportunities and treatment between men and women, as stated in the current regulations on the matter - Organic Law 3/2007, and we do not discriminate against any person on the grounds of ethnicity, religion, age, sex, nationality, marital status, affective or sexual orientation, gender identity or expression, disability, or any other personal or social circumstance. J-18808-Ljbffr

Company Overview INSUD PHARMA operates across the entire pharmaceutical value chain, providing specialized knowledge and experience in scientific research, development, manufacturing, sales, and marketing of active pharmaceutical ingredients, finished dosage forms, and branded pharmaceutical products. Role Overview Applied Data Scientist within AI Labs, working with a cross-functional team to build products, models, and analytical solutions that inform decision-making. Location: Madrid (Chamberí area). Responsibilities - Collaborate with small, cross-functional teams, iterating fast and delivering visible impact from day one. - Conduct exploratory data analysis to uncover patterns and insights in large datasets. - Design, implement, and validate machine learning models and statistical methodologies to solve high-impact, real-world business problems. - Translate technical findings into clear narratives, visualizations, and decision frameworks for both technical and non-technical