Senior Data Scientist (f/m/d)

Overview

In this role you will own end-to-end LLM/ML initiatives that improve core financial workflows such as invoice understanding and reconciliation. You’ll shape models from framing to deployment, working closely with Platform/Data Eng to drive adoption. You’ll tackle production-grade ML challenges, from evaluation and monitoring to cost-aware deployment. The position offers impact at scale within a fast-growing fintech, with a strong emphasis on quality and collaboration.

Pay / Benefits

• Top-of-market compensation including equity
• 20 days work from abroad
• 600EUR Learning & Development Budget
• local benefits

Responsibilities

• Own LLM/ML pipelines for extraction, classification, anomaly detection, and recommendations
• Define evaluation & monitoring: gold sets, automated tests, robustness checks, SLAs, and cost/latency tracking
• Productionize with Platform/Data Eng: bring models live and iterate until adopted by stakeholders

Key requirements

• 5-10+ years in applied ML with production ownership
• Hands-on LLM app/agent experience (tool use/function calling, RAG, structured outputs, guardrails) in production
• Strong Python + ML stack (scikit-learn, XGBoost/LightGBM, PyTorch/TF) and solid experiment/evaluation skills
• Strategic problem solver with ability to frame data science solutions in business context
• End-to-End executor owning projects from ideation to production and maintenance

• Strategic thinking
• Independent problem solving
• Cross-functional collaboration
• Python
• ML stack (scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow)
• LLM app/agent capabilities (tool use, function calling, RAG, structured outputs, guardrails)

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