The ad says“We are looking for Principal Data Scientists and AI Engineers 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”
The ad says“Provide leadership for the Data Science team: mentor and manage, define modelling and evaluation standards, and drive impactful cross-functional delivery”
The ad says“We’re building production LLM systems at enterprise scale – which means tackling hard problems in evaluation, reliability, and latency while staying at the research frontier. Our challenges include grounding agents in structured business data, coordinating multi-agent workflows, and ensuring robust performance in high-stakes decision contexts. We pair strong engineering with applied research, contributing to the field through publications and establishing technical differentiation in a fast-moving space”
The ad says“Provide leadership for the Data Science team: mentor and manage, define modelling and evaluation standards, and drive impactful cross-functional delivery”
We are looking for Principal Data Scientists and AI Engineers 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
We develop the Super Agent – an agentic decision advisor that guides users from questions to decisions through natural dialogue. We also create vertical decision intelligence agents that synthesize insights across domains, helping F500 clients turn complex data into measurable business outcomes. This is all pulled together with the GenAI systems that surface insights and decision triggers to ensure users can respond to risks and opportunities immediately
We’re building production LLM systems at enterprise scale – which means tackling hard problems in evaluation, reliability, and latency while staying at the research frontier. Our challenges include grounding agents in structured business data, coordinating multi-agent workflows, and ensuring robust performance in high-stakes decision contexts. We pair strong engineering with applied research, contributing to the field through publications and establishing technical differentiation in a fast-moving space
Lead, design, and maintain AI-driven solutions across multiple workstreams to solve complex business challenges
Own delivery across several projects: shape the roadmap with PM/Eng, scope initiatives, manage dependencies and risks, and ensure timely, high-quality releases
Communicate and align with senior internal and external stakeholders, identifying domain-wide opportunities and influencing strategy
Provide leadership for the Data Science team: mentor and manage, define modelling and evaluation standards, and drive impactful cross-functional delivery
Benefits
Hybrid working model
Fast growth path
Global company and culture
Preferred experience
7+ years of experience
A strong communicator who adapts the message to different audiences and enjoys working cross-functionally with product, engineering and business stakeholders
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
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
Applicants must already have the legal right to work in Spain
