About the Company
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.
Role
We are the Data Science team within AI Labs, the applied AI department at Insud Pharma. We need 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.
Team Culture
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. We hold regular demo days where teams present their work and whiteboard sessions to tackle problems together. The cross‑disciplinary dynamic is genuinely strong.
Responsibilities
* 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.
Qualifications
* 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.
Benefits
* Versátil 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!
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.
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