Mission 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 global 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 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 impact.

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.

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.

Our Four 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. 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.

Your profile Core Responsibilities And Skills (by Seniority) Junior Data Scientist – Up to 2 years

• Build and maintain AI-driven features (forecasting, classification, regression, recommender systems, LLM-powered features) for business use cases
• Contribute to app features with guidance from mid/senior teammates; improve models, pipelines and deliverables
• Present results and findings to your team; identify gaps and learn to explain the product and the AI behind it
• Deliver assigned tasks autonomously and on time with clear ownership

Mid Data Scientist – 2+ years

• All of the above +
• Have strong Python/SQL skills, basic MLOps knowledge (Airflow, MLflow, unit testing), and solid ML fundamentals
• Own features of the app; constantly improve models, pipelines and monitoring to ensure robust production performance
• Communicate and align with internal stakeholders; identify opportunities and explain AI behind business outcomes
• Design end-to-end ML pipelines for small projects; mentor junior team members on technical topics

Senior/Lead Data Scientist – 4+ years

• All of the above +
• Have comprehensive MLOps expertise, advanced Python/SQL skills, and domain specialization; enforce code quality standards across the team
• Own key features and projects; design and improve models, pipelines, and experimentation frameworks
• Lead 1+ major projects as AI lead with full accountability; break down work, assign tasks, and manage multiple workstreams with stakeholder alignment
• Communicate and align with internal/external stakeholders; turn business requirements into AI solutions; make speed vs. quality trade-offs
• Provide technical mentorship; set modeling standards and drive cross-functional delivery with PMs, engineers, and customers

Principal Data Scientist – 6+ years

• All of the above +
• Have deep expertise in one technical area; lead by example on technical excellence, business acumen, and strategic vision
• Define and own AI domain roadmaps; transform ambiguous business challenges into structured action plans with clear milestones and dependencies
• Lead 5+ simultaneous projects across multiple workstreams; shape product strategy with PM/Eng; manage risks and ensure timely, high-quality releases
• Demonstrate strong business acumen: estimate AI solution impact on KPIs and business outcomes; identify domain-wide opportunities and influence strategy
• Provide leadership for the Data Science team: mentor and manage; define standards; drive impactful cross-functional delivery; empower team members

Who we’re looking for (all levels)

• Someone who thrives at the intersection of business, analytics and AI and wants to ensure AI solves the right problems with measurable impact.
• A scientist and builder: you explore multiple approaches, analyze results and iterate fast, balancing cutting‑edge techniques with simple, scalable solutions.
• A strong communicator who adapts the message to different audiences and enjoys working cross‑functionally with product, engineering and business stakeholders.
• Someone with a startup mindset: comfortable with ambiguity, proactive and hands‑on when something needs fixing or improving.
• Ready to Lead Boldly – helping business leaders make decisive decisions powered by real-time AI insights

Location & details

• Locations: Madrid (MAD), Barcelona (BCN).
• Contract type: Permanent.
• Work policy: hybrid (2 days per week in the office)

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