ph3Mission /h3 pAily Labs is a B2B SaaS company building an AI-powered decision intelligence app for enterprises. Our mobile-first platform combines company data with advanced machine learning, large language models and agentic AI to give business leaders clear, actionable insights in real time. /p pInstead of traditional dashboards and reports, Aily delivers simple, personalized recommendations that help teams decide and act faster across bfinance, supply chain, RD, commercial /b and more. The app is designed to be intuitive for end users and easy to integrate for IT, so companies can move from analysis and indecision to confident, data‑driven decisions every day. /p pFounded in 2020 in Munich, Aily Labs has grown into a general team of 300+ people across Munich, Barcelona, Madrid, Cluj and New York. Our mission is to democratize AI in business and enable leaders to bLead Boldly /b, turning complex data into decisions that drive real, measurable impact. /p pWe are looking for bMID /b bData Scientists /b who are passionate about the power of AI and who thrive at the intersection of business, analytics and AI: someone who not only trains models but also deeply understands the business context in which they are applied. Your job is to make sure AI is solving the right problems, using the right approaches and driving measurable impact. /p h3About This Role – Domains Department /h3 pThe Data Science Domains Department powers business‑critical decision‑making across four key areas of enterprise operations. We build and deploy AI‑driven features that transform how business leaders understand and act on complex data challenges in their specific domains. Each domain has distinct requirements, challenges and opportunities—but all share the mission of delivering real‑time, actionable AI insights that drive measurable business impact. /p h3Our Four Domains /h3 ul libFinance (FIN) /b: We enable smarter, faster financial decision‑making across the enterprise by partnering with Finance teams to improve forecasting accuracy, planning agility and financial transparency through AI‑driven solutions. We tackle volatile revenue and demand signals,



large‑scale multi‑dimensional forecasting and resource allocation under uncertainty, while ensuring models remain explainable and actionable. Our work moves Finance beyond reactive reporting toward proactive data‑driven decision‑making, powered by production‑grade ML systems at enterprise scale. /li libManufacturing Supply Chain (MS) /b: We optimize the end‑to‑end manufacturing and supply chain with cutting‑edge AI. Our team works closely with supply chain champions across Fortune 500 companies to drive impact, from helping pharmaceutical companies avoid out‑of‑stocks to reducing machine breakdown in consumer good factories. Our solutions consist of a mix of statistical, machine learning, GenAI, Knowledge Graph and agentic techniques to tackle challenges such as low‑signal demand forecasting, explainability for supply chain autonomy and providing detailed actionable recommendations based on textual, image and structured data. /li libResearch Development (RD) /b: We are passionate about clinical operations and portfolio management. Our team partners closely with pharmaceutical and biotech companies to deliver innovative AI‑driven solutions that optimize clinical trial recruitment and accelerate pipeline innovation. Some of the exciting use cases we have worked on include predicting patient enrollment, optimizing trial design, building knowledge graphs across the pharma ecosystem and more. /li libCross‑Functional (XF) /b: This team addresses critical business areas that extend beyond the scope of our other specialized domains. We apply AI to diverse functions spanning procurement, people analytics, commercial operations and more—developing solutions that transform these essential but often underserved areas. By focusing on these complementary business functions,



we ensure our AI platform delivers comprehensive value across the entire enterprise, helping organizations unlock insights and efficiencies in every corner of their operations. /li /ul h3Core Responsibilities And Skills /h3 ul li3 years of experience up /li liDesign and implement end‑to‑end data pipelines (ingestion → transformation → quality → delivery) for multiple use cases with growing autonomy. /li liContribute to app features with guidance from mid/senior teammates; improve models, pipelines and deliverables. /li liPresent results and findings to your team; identify gaps and learn to explain the product and the AI behind it. /li liBuild and maintain data infrastructure components (streaming pipelines, transformations, APIs, catalogs) using modern data tools. /li liImplement robust data quality frameworks, monitoring and alerting systems at scale. /li liOptimize data workflows for cost, performance and reliability across multiple datasets. /li liMentor junior team members on data engineering best practices and tooling. /li /ul h3Who we’re looking for /h3 ul liSomeone who thrives at the intersection of business, analytics and AI and wants to ensure AI solves the right problems with measurable impact. /li liA scientist and builder: you explore multiple approaches, analyze results and iterate fast, balancing cutting‑edge techniques with simple, scalable solutions. /li liA strong communicator who adapts the message to different audiences and enjoys working cross‑functionally with product, engineering and business stakeholders. /li liSomeone with a startup mindset: comfortable with ambiguity, proactive and hands‑on when something needs fixing or improving. /li liReady to Lead Boldly—helping business leaders make decisive decisions powered by real‑time AI insights. /li liApplicants must already have the legal right to work in Spain or Germany. /li /ul h3Location details /h3 ul liLocations: Madrid (MAD), Barcelona (BCN) or Munich /li liContract type: Permanent. /li liWork policy: hybrid (2 days per week in the office) /li /ul /p #J-18808-Ljbffr

📌 MID Data Scientist - BCN/MAD/Munich (Barcelona)
🏢 Aily Labs
📍 Barcelona