Summary: SICPA is seeking a versatile Data Scientist to join its global team, contributing to the full lifecycle of data science projects from exploration to deployment in a regulated environment. Highlights: 1. Develop end-to-end data science solutions for real-world challenges 2. Build and evaluate machine learning, statistical, and AI models 3. Collaborate with experts on impactful international projects **Req ID:** 30138 **Posted on:** 9 Apr 2026 **Location:**Madrid, Spain **Department:** DIGITAL R\&I **ROLE** SICPA is looking for a versatile **Data Scientist** to join its global Data Science team in Madrid. This role is ideal for a strong junior to mid\-level profile who combines solid machine learning foundations with a pragmatic, hands\-on mindset. You will contribute to the full lifecycle of data science projects, from data exploration and prototype development to model deployment and productisation, working on real\-world challenges in a regulated and innovation\-driven environment. You will help design and deliver AI and machine learning solutions across a variety of domains, including computer vision, forecasting, anomaly detection, graph analytics, and generative AI. The role requires curiosity, adaptability, and the ability to move across different problem types while collaborating closely with data scientists, engineers, product teams, and business stakeholders. * Develop end\-to\-end data science solutions, from data collection and preparation to modelling, validation, and deployment * Build and evaluate machine learning, statistical, and AI models for applied business and product use cases * Contribute to both exploratory research and practical implementation, turning ideas into working prototypes and scalable solutions * Support the industrialisation of models through sound engineering practices, including APIs, containerisation, testing, and reproducible workflows * Work across a broad range of data science topics such as computer vision, time series forecasting, anomaly detection, graph\-based methods, and generative AI * Communicate findings clearly to both technical and non\-technical audiences through presentations, reports, and demos * Collaborate effectively across functions and contribute to a strong team culture of quality, ownership, and continuous learning **PROFILE** * Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Econometrics, or a related field * Around 3–5 years of relevant experience in data science, machine learning, or applied AI roles * Strong Python skills and experience with common machine learning libraries such as scikit\-learn, PyTorch, or TensorFlow * Good knowledge of SQL and data preparation workflows * Solid understanding of statistics, machine learning fundamentals, and model evaluation * Ability to work independently on applied problems while knowing when to collaborate and escalate * Strong communication skills and the ability to explain technical work in a clear and structured way **Preferred qualifications** * Experience in one or more of the following areas: computer vision, forecasting, anomaly detection, NLP, graph analytics, or generative AI * Exposure to deployment and MLOps practices, such as Docker, APIs, CI/CD pipelines, or cloud environments * Familiarity with taking models beyond notebooks into robust, production\-oriented solutions * Interest in applied research and experimentation, with the ability to balance innovation and practical delivery * Comfortable working across multiple projects and problem domains in a fast\-moving environment **JOIN US !** * Join a global leader in trust technologies with a mission that matters. * Be at the strategic heart of a financially sound and innovation\-driven company. * Collaborate with high\-level experts and work on impactful international projects. * Operate in a multi\-cultural, high\-integrity environment where autonomy and ownership are encouraged.