0Head of Data Science - Generative AI
N26 GmbH | Germany | 10xxx, 14xxx, 13xxx, 12xxx Berlin | Permanent position | Full time / Home office | Published since: 23.05.2026 on stepstone.de

Head of Data Science - Generative AI

Branch: Computer science, informati... Branch: Computer science, information and communication technology


About the opportunity Who we are N26 has reimagined banking for today's digital world. Technology and design empower everything we do and it's how we are building the global banking platform the world loves to use. We've eliminated physical branches, paperwork, and hidden fees for an elegant digital experience and supreme savings. Giving people the power to live and bank their way is what gets us out of bed in the morning and inspires the work that we do. We are headquartered in Berlin with offices in multiple cities across Europe, including Vienna and Barcelona, and a 1,500-strong team of more than 80 nationalities. .

Your tasks • Your profile • What we offer

We are seeking an inspirational and strategic Head of Data Science to lead our Generative AI team. This is a critical leadership role where you will define and drive the strategy for developing production-ready generative AI applications, transforming how N26 operates and serves its millions of customers across Europe. Your team develops cutting-edge generative AI workflows, agents, and agentic systems for internal automation and to enable innovative, high-impact customer-facing product features. Are you ready to lead a high-performing team and accelerate the application of generative AI and machine learning to projects that affects millions of users all over Europe? Would you like to set the technical direction and investigate new generative AI capabilities to implement novel, strategic use cases? Come join us! In this role, you will: Architect and drive the end-to-end AI transformation across N26. This leadership technical role designing the MLOps infrastructure for scalable Generative AI solutions, establishing robust enterprise-wide technical standards for responsible AI governance, and championing the organizational and cultural change necessary to integrate and scale innovative GenAI solutions across all business units. Strategy and Leadership: Define, communicate, and execute the overall Data Science roadmap and vision for the Generative AI function, ensuring alignment with N26's product and business goals.

Team Management: Lead, mentor, and grow a diverse team of experienced AI experts, fostering a culture of technical excellence, continuous learning, and impact.

Technical Oversight: Provide strategic and guidance architectural on the delivery of robust and compliant generic AI (both language and vision) solutions, workflows, agentic systems, advanced prompt engineering, model selection, and the implementation of strong guardrails.

Execution Excellence: Oversee cutting-edge AI projects end-to-end, driving best practices from applied research and initial experimentation (discoveries and MVPs) through advanced validation strategies to scalable production deployment.

Stakeholder Collaboration: Partner closely with Product Managers, Backend Engineering, Compliance, and Executive Leadership to identify high-leverage opportunities, deliver measurable value, and maximize the impact of the team's solutions.

What you need to be successful: Background: An advanced degree (Master's or PhD) in a quantitative discipline search as Computer Science, Data Science, or Mathematics/Statistics is highly preferred.

Significant professional experience (8+ years) in the development, production, and scaling of ML/AI solutions.

Proven leadership experience (5+ years) managing, mentoring, and scaling Data Science or AI/ML teams. Skills: Exceptional strategic thinking and a track record of defining and executing ambitious technical roadmaps.

Mastery of common machine learning algorithms, deep learning principles, and generative AI architectures.

Strong programming proficiency in Python and experience with generative AI frameworks, search as LangChain and LangGraph.

Demonstrated ability to drive a team to write production-ready, high-quality code.

Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders and executive leadership.

Proven ability to continuously learn, challenge the status quo, and drive proactive applied research around the latest advances in generative AI and machine learning.

Language skills: English full professional proficiency; Proficient knowledge of German, French, Italian or Spanish will be appreciated.

Accelerate your career growth by joining one of Europe's most talked about disruptors. Employee benefits that range from a competitive personal development budget, work from home budget, discounts to fitness & wellness memberships, language apps and public transportation. As an N26 employee you will have access to a Premium subscription on your personal N26 bank account. As well as subscriptions for friends and family members. Additional day of annual leave for each year of service. A high degree of automation and access to cutting technologies - all while working with a friendly team of peers of diverse nationalities, experiences, and backgrounds. A relocation package with visa support for those who need it. Equal opportunities for all At N26, we believe our strength read in our people and the varied perspectives You bring. We strive to build various teams that drive innovation and business success. We promote talent from all backgrounds and welcome applications from all genders, cultures, sexual orientations, abilities, neurodiversities, and ages. We are committed to providing an excellent and accessible candidate experience. If you require any recording to make this process work for you, please let us know. We're here to support you! Discover more about Diversity & Inclusion at N26: https://n26.com/en-eu/diversity-and-inclusion

Location

ava N26 GmbH
Berlin
Germany

The text of this ad was translated from German into English using an automatic translation system and may contain semantic and lexical errors. Therefore, it should be used for introductory purposes only. For more detailed information, see the original text of the ad at the link below.

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