AI Applications & Data Science ConsultantYou will join a leading integral R&D; environment where advanced AI-driven applications support researchers in their daily work—from data analysis and statistical modelling to predictive insights and dashboarding.These applications, built mainly withShiny (R)andStreamlit (Python), are part of a growing analytics ecosystem running on a dedicated internal platform. The mission combinesmaintenance of existing AI/statistical toolsanddevelopment of new data-driven applicationsbased on real user needs.You will act as a bridge betweenbusiness users (researchers)andtechnical teams, ensuring applications remain reliable, scalable, and relevant.What you will doInvestigate and fix issues in AI algorithms (bugs, performance, data pipeline failures)Maintain and improve existingShiny (R)andStreamlit (Python)applicationsEnsure stability after platform or dependency updatesDevelop new interactive modules (dashboards, analytics tools,



reporting apps)Analyse business needs and translate them into technical solutionsOptimize and refactor Python and R codebasesManage data pipelines and connectors (APIs, databases, files)Conduct testing (UAT, unit tests, integration tests)Collaborate with data scientists, statisticians, and business usersDocument all developments and processes (French & English)QualificationsWhat we are looking forRequired3–5 years of experience inPython and/or R developmentExperience withShiny (R)and/orStreamlit (Python)Strong debugging and problem‑solving skillsExperience maintaining production‑level applicationsSolid knowledge of:Data manipulation (Pandas / dplyr)Data visualisation (ggplot2, plotly, matplotlib, altair)Experience withGit/GitHub (PRs, branching, versioning)Understanding of basic AI/ML concepts (evaluation metrics, overfitting, pipelines)Ability to work in abilingual environment (French & English)Nice to haveExperience withGCP (BigQuery, Vertex AI)Knowledge ofDocker and APIs (FastAPI, REST)Exposure toML frameworks (

📌 Ai Applications (Madrid)
🏢 Talan Group
📍 Madrid