> Markdown version of [/jobs/ext/1980558-mid-data-scientist-bcn-mad-munich](https://www.wearedevelopers.com/jobs/ext/1980558-mid-data-scientist-bcn-mad-munich). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Mid Data Scientist - Bcn/Mad/Munich - **Company:** AILY LABS - **Location:** Madrid, Spain - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Governance, Graph Database, HR Analytics, Machine Learning, DataOps, Working Model 2D, AI Platforms, Machine Learning Operations, Data Pipelines - **Published:** August 8, 2026 - **Apply:** https://www.buscojobs.com.es/mid-data-scientist-bcn-mad-munich-en-madrid-ID-366569197 ## About the Role 3 years of experience & up. Someone who thrives at the intersection of business, analytics, and AI and wants to ensure AI solves the right problems with measurable impact. Ready to Lead Boldly - helping business leaders make decisive decisions powered by real-time AI insights. A scientist and builder: you explore multiple approaches, analyze results, and iterate fast, balancing cutting?edge techniques with simple, scalable solutions. Someone with a startup mindset: comfortable with ambiguity, proactive, and hands?on when something needs fixing or improving. A strong communicator who adapts the message to different audiences and enjoys working cross?functionally with product, engineering, and business stakeholders. Applicants must already have the legal right to work in Spain or Germany. #J-*****-Ljbffr ## Description We are looking for MID Data Scientists 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're applied.Your job is to make sure AI is solving the right problems, using the right approaches, and driving measurable impactThe 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 domainsEach domain has distinct requirements, challenges, and opportunities-but all share the mission of delivering real-time, actionable AI insights that drive measurable business impactFinance (FIN): 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 scaleManufacturing & Supply Chain (M&S): 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 to 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 a mix of textual, image, and structured dataResearch & Development (R&D): 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've worked on include predicting patient enrollment, optimizing trial design, building knowledge graphs across the pharma ecosystem, and moreCross-Functional (XF): 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 operationsBenefitsGlobal company and cultureFast growth pathHybrid working modelMentor junior team members on data engineering best practices and tooling.Implement robust data quality frameworks, monitoring, and alerting systems at scale.Build and maintain data infrastructure components (streaming pipelines, transformations, APIs, catalogs) using modern data tools.Design and implement end-to-end data pipelines (ingestion ? transformation ? quality ? delivery) for multiple use cases with growing autonomy.Optimize data workflows for cost, performance, e and reliability across multiple datasets.Present results and findings to your team; identify gaps and learn to explain the product and the AI behind it.Contribute to app features with guidance from mid/senior teammates; improve models, pipelines, and deliverables.3 years of experience & up.Someone who thrives at the intersection of business, analytics, and AI and wants to ensure AI solves the right problems with measurable impact.Ready to Lead Boldly - helping business leaders make decisive decisions powered by real-time AI insights.A scientist and builder: you explore multiple approaches, analyze results, and iterate fast, balancing cutting?edge techniques with simple, scalable solutions.Someone with a startup mindset: comfortable with ambiguity, proactive, and hands?on when something needs fixing or improving.A strong communicator who adapts the message to different audiences and enjoys working cross?functionally with product, engineering, and business stakeholders.Applicants must already have the legal right to work in Spain or Germany.#J-*****-Ljbffr ## Related Videos - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [This App Reached 10,000 Users in One Week. 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