Data Scientist

Flatpay ApS; Herlev Kommune; On-site; DKK 600,000 - 900,000; Full time

Benefits offered by this job

Competitive salary

6 weeks paid vacation

Pension and health insurance

Flat structure

Job summary

Flatpay ApS is seeking a Data Scientist to design, build, and productionize GenAI-powered products and pipelines across the organization. The role emphasizes customer-facing conversational AI and AI-driven data processing for business analytics.

You'll own projects from ideation to production, collaborating with the broader AI team while focusing on applied ML, LLMs, and generative AI. A fast-moving environment and direct stakeholder engagement are expected.

Qualifications

• 1–3 years of industry experience in Data Science, ML, AI Engineering, or similar.
• Hands-on experience building GenAI applications in production.
• Experience with multiple frontier and open-source LLMs.
• Experience building RAG, tool-using LLMs, or similar architectures.
• Proficiency in Python and Transformers SDK.
• Experience with Databricks or similar cloud platforms.
• Strong PySpark, Pandas, and SQL skills.
• Able to own projects and collaborate with stakeholders across the business.

Responsibilities

• Design, build, and maintain production-grade GenAI applications and pipelines.
• Develop AI-powered customer-facing and analytics workflows.
• Write clean, tested production Python code with tests, monitoring, and guardrails.
• Build and maintain data and AI workflows in Databricks (pipelines, jobs, endpoints).
• Utilize cloud platforms (GCP, AWS, Azure) to deploy AI services.
• Integrate external tools and providers into AI workflows.
• Collaborate with data engineers to ensure solid data foundations.
• Drive projects from concept to production deployment and optimization.

Skills

Python

LLMs

Automated testing

Databricks

PySpark

Pandas

SQL

Tools

Databricks

MLflow

OpenAI APIs

Anthropic API

Google Cloud AI

Transformers

Job description

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-centered 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.

About Flatpay

Flatpay is not just another payment solution; we're dedicated to innovating the market for payment solutions and financial services in the SME segment with our customer-centric and transparent services.

We've grown into one of the fastest-growing fintech companies out of the Nordics and Denmark's fastest unicorn company. Today, we're more than 2,000 colleagues across Europe, building products that make a real difference for our customers.

We're ambitious, move fast, and like to challenge the status quo - but we also believe work should be fun. We celebrate wins, help each other out, and create an environment where people can do great work while genuinely enjoying the journey.