GenAI Data Scientist — Production AI for KYC & Fintech

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

Benefits offered by this job

Office gym

Gamer room

Free slush

Job summary

Flatpay ApS is seeking a Data Scientist to design, build, and productionize GenAI-powered products and pipelines across the organization. You will focus on automating KYC flows, validating documents/images, and extracting structured data for onboarding new merchants.

The role spans document processing, data enrichment, workflow automation, analytics, and internal/customer-facing applications, with ownership of solutions from problem framing to production deployment and continuous improvement.

Qualifications

• 2-4 years of industry experience in Data Science, ML, AI Engineering, or similar
• Hands-on experience building GenAI applications or pipelines
• Strong software engineering skills with clean, tested Python code
• Experience with LLMs from providers and open-source models
• Familiarity with modern LLM architectures, tool calling, agents, and retrieval-augmented generation
• Experience handling unstructured data (documents/images) and extracting/structuring information
• Awareness of monitoring, testing, guardrails, security and reliability in production AI
• Experience with Databricks or similar cloud data/AI platforms
• Solid Python, PySpark, Pandas, and SQL skills with large datasets
• Ability to communicate with non-technical stakeholders and translate business needs

Responsibilities

• Design, build, and maintain production-grade GenAI apps and pipelines using Python, MLflow, Databricks, and foundational models (Google, Claude, OpenAI).
• Develop multimodal KYC solutions to process documents/images, extract and validate data, populate fields, and integrate with partners.
• Build GenAI solutions for document processing, data enrichment, workflow automation, analytics, and customer-facing products.
• Collaborate with business stakeholders to understand processes and translate needs into technical solutions.
• Maintain data/AI workflows in Databricks: pipelines, jobs, workflows, model-serving endpoints, and custom apps.
• Integrate AI with internal systems, APIs, external platforms, and third-party providers.
• Work with data engineers to build scalable, governed data foundations.
• Evaluate models/architectures based on accuracy, latency, cost, security, and operations.

Skills

Python

PySpark

SQL

Databricks

LLMs

GenAI

Tools

MLflow

Pandas

Job description

Flatpay ApS is seeking a Data Scientist to design, build, and productionize GenAI-powered products and pipelines across the organization. You will focus on automating KYC flows, validating documents/images, and extracting structured data for onboarding new merchants.

The role spans document processing, data enrichment, workflow automation, analytics, and internal/customer-facing applications, with ownership of solutions from problem framing to production deployment and continuous improvement.