Innovation doesn’t happen by playing it safe; it comes from bold thinking, constant curiosity, and a willingness to challenge how things have always been done. That’s exactly the mindset this rapidly expanding European tech company is looking for in its next Principal Data Scientist.
As they continue to scale off the back of real success, their mission is clear: make AI more accessible and impactful for businesses everywhere. Their intelligent products help organisations tap into the power of data to drive smarter decisions, uncover hidden opportunities, and transform operations, and you’ll play a key role in making that happen.
In this role, you’ll be responsible for leading a talented team of data scientists and ML engineers, helping to architect, build, and refine intelligent systems from the ground up.
Guiding them through the entire AI product lifecycle, from ideation and experimentation to production deployment and performance monitoring. Setting high standards while creating space to learn and grow through trial and iteration.
You’ll bring a deep understanding of modern data science and machine learning techniques and know when to apply the right tools, whether that’s deep learning, statistical modelling, or classical ML methods. Your toolkit includes Python, SQL, and you're comfortable working in a cloud-first (AWS) ecosystem. Experience with object-oriented programming and packaging is important, as is a mindset geared toward scalable, clean, and reproducible code.
You'll lead multiple cross-functional projects, oversee resource planning, and ensure your team is both productive and inspired. Whether it’s brainstorming new ideas in person or collaborating remotely, you’ll be part of a culture that encourages experimentation, iteration, and creative freedom.
If you're looking for a role where your leadership can directly influence cutting-edge AI solutions, and you like the sound of failing fast, fixing faster, and learning even faster, we'd love to hear from you.
This is your chance to join a mission-driven team using data science to shape the future, today.
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