Aily 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.
Instead of traditional dashboards and reports, Aily delivers simple, personalized recommendations that help teams decide and act faster across finance, supply chain, R&D;, commercial, 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.
Founded in 2020 in Munich, Aily Labs has grown into a integral team of 300+ people across Munich, Barcelona, Madrid, Cluj, and New York. Our mission is to democratize AI in business and enable leaders to Lead Boldly , turning complex data into decisions that drive real, measurable impact.
We are looking for Lead 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. About this role – Domains Department The 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.
Finance (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.



Our work moves Finance beyond reactive reporting toward proactive data-driven decision-making, powered by production-grade ML systems at enterprise scale.
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 data.
Research & Development (R&D;): We are passionate about clinical operations and portfolio management. We apply AI to diverse functions spanning procurement, people analytics, commercial operations, and more - developing solutions that transform these essential but often underserved areas. Core responsibilities and skills Design and implement end-to-end data pipelines (ingestion → transformation → quality → delivery) for multiple use cases with growing autonomy.
Build and maintain data infrastructure components (streaming pipelines, transformations, APIs, catalogs) using modern data tools.
Implement robust data quality frameworks, monitoring, and alerting systems at scale.
Optimize data workflows for cost, performance, and reliability across multiple datasets.
Mentor junior team members on data engineering best practices and tooling.
Have comprehensive MLOps expertise, advanced Python/SQL skills, and domain specialization; enforce code quality standards across the team.
Own key features and projects; quality trade-offs.
Lead simultaneous projects across multiple workstreams; manage risks and ensure timely, high-quality releases.
Provide leadership for the Data Science team: mentor and manage; Applicants must already have the legal right to work in Spain or Germany.
Contract type: Permanent.
Work policy: hybrid (2 days per week in the office).
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📌 Data Scientist Lead (Madrid)
🏢 Aily Labs
📍 Madrid