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In a few words A continuación se detalla todo lo que necesita saber sobre lo que implica esta oportunidad, así como lo que se espera de los solicitantes. Position: Data Scientist Location: Madrid (Chamberí area). Want to know more? INSUD PHARMA operates across the entire pharmaceutical value chain, providing specialized knowledge and experience in scientific research, development, manufacturing, sales, and marketing of a wide range of active pharmaceutical ingredients (API), finished dosage forms (FDF), and branded pharmaceutical products, adding value to human and animal health. The activities of INSUD PHARMA are organized into three synergistic business areas: Industrial (Chemo), Branded (Exeltis), and Biotech (mAbxience), with over 9,000 professionals in more than 50 countries, 20 state-of-the-art facilities, 15 specialized R&D centers, 12 commercial offices, and more than 35 pharmaceutical subsidiaries, serving 1,150 customers in 96 countries worldwide. INSUD PHARMA believes in innovation and sustainable development. Ready to be a #Challenger? What are we looking for? We are the Data Science team within AI Labs, the applied AI department at Insud Pharma. We are a team of 30 professionals (AI Engineers, Data Scientists, DevOps Engineers, and Product Managers) working across the full breadth of the company, building products, models, and analytical solutions that directly inform and shape decision-making. We are looking for an Applied Data Scientist with strong technical foundations who is eager to work across diverse and complex problem domains (R&D, drug manufacturing process optimization, clinical trials, and beyond). You will model problems from the ground up—defining the right framing, selecting appropriate methodologies, and owning solutions through rigorous development to full deployment. We are seeking someone curious enough to tackle varied challenges (graph theory, embeddings, neural network forecasting models, causality, Bayesian optimization), rigorous enough to justify every technical and methodological decision, and independent enough to deliver end-to-end impact while taking full ownership of their work. How the team works: AI Labs operates with a startup mindset within Insud Pharma. The department is young, and the culture reflects that: flat, collaborative, and fast-moving. Beyond the Data Science team, you will work alongside AI Engineers, DevOps Engineers, and Product Managers who are equally committed to delivering high-quality work. We hold regular demo days where teams present their work, as well as whiteboard sessions where we tackle problems together. The cross-disciplinary dynamic is genuinely strong. The office is located in central Madrid (Chamberí, near Eloy Gonzalo), well connected and situated in a vibrant part of the city. The challenge! • Collaborate with small, cross-functional teams. Each project is run by a small group — typically a Product Manager, a Data Scientist, an Engineer, and key stakeholders. Iteration is fast, feedback loops are short, and your contribution is visible 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 stakeholders, enabling informed and data-driven decisions. What do you need? • Strong understanding of statistics, machine learning, and data mining techniques., • Expertise in Python programming, including proficiency with data science libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow…)., • Strong understanding of data preprocessing, feature engineering, and model evaluation techniques., • Proven ability to translate complex technical concepts into clear, actionable insights for non-technical audiences., • Knowledge and experience in causal inference methodologies will be highly valued., • 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 (e.g., Git) and collaborative development practices., • Clean, maintainable code and familiarity with software engineering best practices., • Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their machine learning services., • Experience with big data technologies (e.g., Spark, Hadoop) and SQL databases is a plus., • Proficient in Spanish and English in written and verbal communication. Our benefits! Flexible 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, internal mobility policy. Many more! What will the Selection process be like? Stay tuned to your phone and email! The first thing we will likely do is contact you through one of the two channels. Prepare well! We will continue with an in-person/virtual interview depending on availability and what we agree upon; there may be one or two interviews in the process, and depending on the type of process, there may also be some kind of test. Wait for the result! We care that you feel guided throughout each selection process and know what to expect from us, so we will always try to inform you of the status of the process. Do you think this offer is not for you? Follow us on social media like LinkedIn/Instagram and stay tuned for any offers we may release; the opportunity to be a new Insuder is waiting! xcskxlj #InsudPharma #Challenger #Insuder #InsudTalent COMMITMENT TO EQUAL OPPORTUNITIES 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.

Senior Data Engineer Se anima a todos los posibles solicitantes a que se desplacen y lean la descripción completa del puesto antes de presentar su candidatura. In a few words • Position: Senior Data Engineer – AI Labs at Insud Pharma, • Location: Madrid (hybrid), • Experience: 5+ years in Data Engineering or Analytics Engineering roles About AI Labs at Insud Pharma AI Labs is Insud Pharma’s transversal team for Artificial Intelligence, Data Science, and Machine Learning, working across the group to deliver production‑ready data and AI solutions with real impact. The team operates across a wide range of areas, including R&D and clinical data, global health and epidemiology, manufacturing and quality, supply chain and operations, and business analytics, partnering closely with business units, and external organizations. AI Labs combines strong engineering standards with pragmatic execution, focusing on building scalable AI‑enabled solutions that move from experimentation to real‑world adoption. Role Context This role will be primarily focused on projects linked to Fundación Mundo Sano, an international organization dedicated to improving health and quality of life for vulnerable communities through research, innovation, and international cooperation (e.g. neglected diseases such as Chagas). The goal of this position is to ensure that data coming from multiple sources becomes available, consistent, reliable, and reusable, enabling dashboards, reporting, and AI/ML use cases. Due to the international nature of the projects, the role may involve occasional travel to Latin America, Africa, or other regions to work closely with local teams and better understand data generation on the ground. Role Objective Build and operate a coherent, well‑structured data foundation for Fundación Mundo Sano projects by owning the data engineering layer end‑to‑end: ingestion, modeling, data quality, availability, monitoring, and data delivery for dashboards and AI enablement. Key Responsibilities • Build and operate data ingestion pipelines (ETL/ELT) from multiple sources (field programs, research datasets, epidemiological surveillance systems, partners, files, APIs)., • Design and maintain data models and curated datasets that standardize entities, metrics, and definitions across projects., • Ensure data quality, reliability, and consistency through automated checks, monitoring, and basic observability., • Decide how data is structured, stored, and versioned to enable long‑term reuse and scalability., • Make data available and easy to consume for dashboards, reporting, and AI/ML use cases., • Proactively guide business and project teams on data best practices, setting standards, shaping requirements, and influencing how data should be collected, structured, and used., • Collaborate closely with stakeholders to translate needs into scalable, maintainable data foundations. Technologies (examples – adapt to actual stack) • Languages: SQL, Python, • Pipelines / orchestration: Airflow, Prefect, Dagster or similar, • Transformations: dbt or equivalent, • Storage: Data warehouse / lakehouse (e.g. Snowflake, BigQuery, Databricks, Synapse), • Data quality / monitoring: Great Expectations, Soda, or similar, • BI / Dashboards: Power BI, Tableau, Looker or similar, • Engineering basics: Git, CI/CD, basic cloud concepts (AWS / Azure / GCP) What we are looking for • A senior, hands‑on Data Engineer with a strong ownership mindset, comfortable building and operating core data structures and pipelines., • 5+ years of experience in Data Engineering or Analytics Engineering roles., • Strong SQL and solid Python, with hands‑on experience building and running ETL/ELT pipelines in production., • Proven experience integrating heterogeneous and diverse data sources (multiple systems, files, APIs, changing schemas, inconsistent identifiers)., • Good understanding of data modeling and analytical data structures, with the ability to standardize entities, metrics, and definitions across projects., • Experience ensuring data quality, reliability, and monitoring, including automated checks and basic observability., • Comfortable making data available for dashboards, reporting, and AI/ML use cases through curated, analytics‑ready datasets., • Able to work proactively with business and project teams, shaping requirements and setting data standards rather than waiting for fully specified inputs., • Spanish as the daily working language; English required for specific projects and international collaboration., • Pragmatic, ownership‑driven mindset, strong communication skills, and motivation to work on social and public‑health impact projects. Our benefits! Flexible 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, internal mobility policy. Many more! xcskxlj COMMITMENT TO EQUAL OPPORTUNITIES 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.

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A leading transportation network company in Madrid is seeking a Senior Software Engineer to improve urban mobility.Desplácese hacia abajo para encontrar los detalles completos de la oferta de trabajo, incluyendo la experiencia requerida y las funciones y tareas asociadas.This role involves working