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 Senior 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 will collaborate closely with the broader AI team while taking strong ownership of complex projects and driving them from ideation to scalable production systems.
This role is ideal for someone who enjoys solving complex, ambiguous problems with modern AI technologies and who has the technical judgment to turn ideas into robust, maintainable, and high-impact products. You will work across the entire AI product lifecycle — from data engineering and model development to deployment and user-facing applications — while helping set a high standard for applied machine learning, LLMs, and generative AI at Flatpay.

We are looking for someone who thrives in a fast-moving environment, takes end-to-end ownership, and is comfortable engaging directly with stakeholders to identify opportunities, shape solutions, align technical direction with business needs, and continuously drive improvement. As a senior member of the team, you will also be expected to contribute to technical direction, raise the quality bar, and support the growth of those around you.

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 complex projects from proof of concept through production deployment, monitoring, ongoing optimization, and business adoption.
• Make technical design decisions, evaluate trade-offs, and help define best practices for building reliable, secure, and scalable AI systems.
• Mentor and support other team members through code reviews, technical sparring, and sharing practical knowledge across AI engineering, machine learning, and production GenAI systems.

Who you are

• You have 5+ years of industry experience in Data Science, Machine Learning, AI Engineering, or a similar technical role, with a strong track record of delivering production AI or ML systems.
• 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 strong experience building applications that leverage retrieval-augmented generation, tool calling, agents, or other modern LLM architectures.
• You are highly comfortable developing production solutions in Python and working with libraries such as Transformers and the SDKs of leading LLM providers, including OpenAI, Anthropic, Google, and others.
• 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 pragmatic and able to turn ambiguous business problems into concrete technical solutions, while helping stakeholders understand trade-offs and opportunities.
• You are comfortable taking ownership of high-impact projects, working independently, and collaborating directly with stakeholders across the business.
• You contribute positively to team standards, technical direction, and knowledge sharing, and you enjoy helping others become better at building high-quality AI systems.

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.