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.
⏰ Flexible start time from Monday to Friday
Permanent contract.
En Lognext llevamos más de 18 años identificando e implementando soluciones tecnológicas prácticas que nos permitan seguir avanzando y optimicen nuestras operaciones, acompañando a los equipos con talento experto de alto rendimiento y haciendo de la tecnología una fuerza transformadora en nuestro día a día.
Data Scientist
Buscamos un/a Data Scientist con talento para incorporarse a nuestro equipo para una multinacional líder en el sector asegurador.
¿Qué buscamos?
* Grado en ingeniería, física, matemáticas, estadística u otras disciplinas afines.
* Más de 4 años de experiencia en el desarrollo de modelos y soluciones de IA generativa y tradicional.
* Experiencia demostrable en Python.
* Experiencia en tareas de IA generativa (prompting, técnicas RAG) y frameworks como LangGraph, LlamaIndex.
* Experiencia trabajando con datos estructurados, semiestructurados (JSON, XML) y no estructurados.
* Experiencia en el desarrollo y despliegue de soluciones de IA en entornos productivos.
* Conocimiento de Big Data (Spark/PySpark), Databricks y ecosistemas como Azure.
* Valorable conocimiento de herramientas de BI, preferentemente Microsoft Power BI.
¿Cuáles serán tus principales funciones y responsabilidades?
* Colaborar con equipos de negocio y técnicos para definir y validar soluciones de IA, alineadas con la estrategia organizacional.
* Diseñar, construir y optimizar modelos de IA, asegurando el uso adecuado de datos según políticas corporativas y estándares.
* Colaborar con equipos de ingeniería, gobierno de datos y arquitectura para ofrecer soluciones robustas, escalables y eficientes.
* Evaluar el impacto de las soluciones de IA en proyectos e iniciativas, proponiendo mejoras e innovaciones basadas en tendencias y mejores prácticas.
¿Qué ofrecemos?
* Salario Competitivo
* Modalidad 100% remota
* Retribución flexible
* Programa de formación técnica, certificaciones e idiomas
* Plan de Desarrollo Profesional
* ⏰ Flexibilidad horaria
* Referral Program
Únete a un equipo de NEXTERS que van más allá, un equipo donde la creatividad, el ingenio y la audacia marcan la diferencia en un mundo lleno de oportunidades.
En Lognext apostamos por la igualdad entre mujeres y hombres y prueba de ello tenemos Plan de Igualdad registrado y publicado. Y así como creemos que en la multiculturalidad existe una fuente de valores, experiencias y conocimiento, que aportan valor añadido a nuestros proyectos es por ello por lo que creemos en la diversidad y estamos comprometidos con ella. Trabajamos día a día para crear entornos en los que se trate con respeto y dignidad sin importar de donde vengas, no discriminamos por motivos de raza, religión o creencias, etnia, discapacidad, edad, nacionalidad, estado civil, orientación sexual o género.
#Empleo #Tecnología #Innovación #DesarrolloProfesional #Igualdad #Diversidad
Somos MIGSO-PCUBED, la consultora líder en Project Management, parte del grupo ALTEN. Con más de 3.300 consultores en Europa, Norteamérica, Asia y Australia, apoyamos a nuestros clientes en proyectos de I+D, TIC y transformación en sectores como Aeronáutica, Automoción, Ferrocarril, Defensa, Energía, Finanzas, Telecomunicaciones, Tecnología & Media y Sector Público.
Serás el motor de automatización y eficiencia en nuestros proyectos.
* Integrar herramientas y sistemas (SharePoint, Excel, Teams, ERP…) para procesos más eficientes.
* Analizar datos y priorizar automatizaciones de mayor impacto.
* Implementar soluciones de notificación, seguimiento y control de tareas automatizadas.
* Facilitar la adopción de nuevas soluciones, apoyando pruebas y despliegues.
* Impulsar la cultura de mejora continua y transformación digital.
* Experiencia en Power Automate y Power Platform.
* Conocimientos en SharePoint, Power BI y/o Power Apps (valorables).
* Deseable: conocimientos básicos de Python, RPA o integración de APIs.
* Desarrollo profesional: Plan formativo robusto y formación en idiomas.
* Eventos corporativos y actividades de team building.
* Flexibilidad: Ticket Restaurante, transporte y guardería.
* Seguro médico completo y políticas de desconexión digital.
Listo para ser parte de la transformación digital de MIGSO-PCUBED?
Presenta tu solicitud hoy y empieza tu viaje con nosotros.
BNP Paribas Group is the top bank in the European Union and a major international banking establishment. It has close to 185,000 employees in 65 countries. In Spain we are more than 5,100 employees within 13 business lines.
Risk Hub
Risk is an integrated and independent control function of the BNP Paribas Group. It is the second line of defense on the risk management activities of the Group which are under its direct responsibilities, including credit and counterparty risk, market risk, funding and liquidity risk, interest rate and foreign exchange risks in the banking book, insurance risk, operational risk, and environmental and social risks.
Risk aims at being a partner of the businesses by contributing to their sustainable development, but also a gatekeeper to ensure risks taken remain compatible with the Group’s Risk Appetite and its strategy.
Risk Iberian Hub Madrid is a transversal platform servicing the RISK Function by covering added‑value activities around credit risk, market risk, operational risk and data protection. Offering a wide range of services to RISK teams, from consulting to cyber security going through data analysis, modelling or artificial intelligence.
About the Job
Want to help shape the bank of tomorrow today?
How can the Bank leverage data to assess credit risk on its portfolio of existing and new clients? Risk assessment encompasses various elements: how likely is it that a client will not be able to comply with the contractual requirements of his loan? What will be the client’s outstanding balance in this situation? What loss is the bank expected to suffer if a client is no longer able to repay a loan?
As a member of the RISK Models team, you will join a team of experts whose goal is to answer these questions through the development of statistical or expert models.
Responsibilities
* Designing and developing models for credit risk on the scope mainly of companies.
* Finding, managing and using the most appropriate data sources for modelling purposes.
* Working with expert colleagues and business representatives to examine the results and keep models grounded in reality.
* Documenting each step of the development and informing decision makers by presenting them options and results.
* Ensuring correct implementation of the tools (together with the IT department) continuously assessing models by means of back‑testing.
* Answering specific, external requests regarding statistics related to credit risk assessment.
* Following‑up evolutions in the regulation and in credit risk modelling best‑practices.
Requirements
* Master degree or higher in Mathematics, Economics or Econometrics, Statistics or a similar background where analytics and figures prevail.
* Work experience of at least 5 years in credit risk modelling (PD/LGD/LGDD/CCF).
* You express yourself perfectly in English, in particular in the writing form. You ideally speak French fluently.
Skills
* Technical: You have strong SAS programming skills.
* It is considered an asset if you have some experience with Big Data technologies, ratings & scorings use across the bank or credit products.
* Transversal & Behavioral: You are able to manage long‑term deadlines and plan your work accordingly.
* You are creative, you pay attention to details, and you are able to work easily with both technical and business‑oriented people.
Benefits
* Training programs, career plans and internal mobility opportunities, national and international thanks to our presence in different countries.
* Diversity and Inclusion Committee that ensures an inclusive work environment.
* Corporate volunteering program (1 Million Hours 2 Help) In which employees can dedicate time out of their working hours to volunteer activities.
* Flexible compensation plan.
* Hybrid telecommuting model (50%).
* 32 vacation days.
Diversity and inclusion commitment
BNP Paribas Group in Spain is an equal opportunity employer and proud to provide equal employment opportunity to all job seekers. We are actively committed to ensuring that no individual is discriminated against on the grounds of age, disability, gender reassignment, marriage or civil partnership status, pregnancy and maternity/paternity, race, religion or belief, sex or sexual orientation. Equity and diversity are at the core of our recruitment policy because we believe that they foster creativity and efficiency, which in turn increase performance and productivity. We strive to reflect the society we live in, while keeping with the image of our clients.
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