About the job

You will join a growing AI team of 11 talented colleagues with a shared mission: transforming data and AI into measurable business value for Flatpay and our merchants.

As a Data Scientist, you will design, build, and productionize GenAI-powered products and pipelines that support business-critical decisions across the organization. A key area of focus will be customer-facing conversational AI, where creativity, strong product thinking, and a user-centred mindset are essential for developing cutting-edge solutions.

In addition, you will work on AI-driven document, image, and audio processing systems that power critical business processes and analytics. You'll collaborate closely with the broader AI team while also taking ownership of projects and driving them from ideation to production.

This role is ideal for someone who enjoys solving complex problems with modern AI technologies and seeing their work create real-world impact. You will have the opportunity to work across the entire AI product lifecycle - from data engineering and model development to deployment and user-facing applications - while maintaining a strong focus on applied machine learning, LLMs, and generative AI.

We are looking for someone who thrives in a fast-moving environment, takes ownership, and is comfortable engaging directly with stakeholders to pursue opportunities, align solutions with business needs, and continuously drive improvement.

What you'll do

• Design, build, and maintain production-grade GenAI applications and pipelines using Python, MLflow, Databricks, and leading AI platforms such as OpenAI, Anthropic, and Google.
• Develop AI-powered solutions including customer-facing conversational AI, LLM-driven data enrichment and analytics workflows, and audio, image, and multimodal processing systems for both internal and customer-facing products.
• Write clean, maintainable, and well-tested production python code, including automated tests, monitoring, guardrails, validation frameworks, and fail-safe mechanisms to ensure reliability, security, and robustness in AI systems.
• Build, orchestrate, and maintain data and AI workflows in Databricks, including pipelines, jobs, workflows, model serving endpoints, and custom applications deployed on the Databricks platform.
• Leverage cloud platforms such as GCP, AWS, and Azure to provision, deploy, and scale AI services, including LLMs.
• Integrate, optimize, and manage AI workflows that leverage external platforms and services, including tools such as ElevenLabs, Metabase, and other third-party providers.
• Collaborate closely with data engineers to ensure AI products are built on reliable, scalable, and well-governed data foundations.
• Drive projects from proof of concept through production deployment, monitoring, and ongoing optimization.

Who you are

• You have 1–3 years of industry experience in Data Science, Machine Learning, AI Engineering, or a similar technical role.
• You have hands-on experience building and maintaining customer-facing GenAI applications and pipelines in production and understand the importance of automated testing, monitoring, guardrails, and reliability in production AI systems.
• You have experience using LLMs from multiple state-of-the-art providers of frontier and open-source models, and you have a deep understanding of the strengths and trade-offs of different frontier and open-source models.
• You have experience building applications that leverage retrieval-augmented generation (RAG), tool calling, agents, or other modern LLM architectures.
• You are comfortable developing solutions in Python and working with libraries such as Transformers and the SDKs of leading LLM Providers.
• You are comfortable working in Databricks or similar cloud-based data and AI platforms, including building pipelines, workflows, model serving endpoints, and production deployments.
• You have strong PySpark, Pandas, and SQL skills and are comfortable working with large, structured datasets.
• You are comfortable taking ownership of projects, working independently, and collaborating directly with stakeholders across the business.

Why Flatpay?

• Impact: Ship AI and data solutions that create real impact in one of Europe’s fastest-growing companies.
• Meaningful products: Build models that help merchants and colleagues make better decisions, act on insights, and improve workflows.
• Learning and growth: Develop across forecasting, production ML, data engineering, and AI in a supportive team.
• Flat structure: Flat structure and a strong action-over-process culture
• Competitive salary
• Vacation: 6 weeks paid
• Relaxed atmosphere with optional social events such as minigolf evenings, hackathons, and company parties in exciting off-site locations.
• Co-workers with a passion for data and AI, and a passion for sharing knowledge daily.
• Pension and health insurance, as well as almost unlimited company merch.