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Senior Data Scientist

MMoss
Seniority
Senior
Model
Hybrid
Sector
Fintech
Salary
Undisclosed
Contract
Full-Time

We're expanding our Data & AI team and looking for a senior/lead contributor who has hands-on LLM app/agent experience and is fluent in classical ML. You'll own end-to-end LLM/ML initiatives - from problem framing and modeling to evaluation, deployment, and iteration - directly improving core product workflows (invoice understanding, approval matching, reconciliation, anomaly detection, and user-assist).

What you'll do

  • 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 your models live and iterate/improve until they are adopted by your stakeholders.

What you'll need

  • 5-10+ years in applied ML with production ownership of shipping models/systems.
  • Hands-on LLM app/agent experience (tool use/function calling, RAG, structured outputs, guardrails) in production.
  • Strong Python + ML stack (e.g., scikit-learn, XGBoost/LightGBM, PyTorch/TF) and solid experiment/evaluation skills.
  • Strategic Problem Solver: You approach ambiguous problems by deeply understanding business context and framing data science solutions that drive meaningful outcomes.
  • End-to-End Executor: You independently own projects from ideation to production, balancing model performance with engineering realities.

What they offer

  • Top-of-market compensation package, including equity.
  • 20 days "work from abroad".
  • 600 EUR/GBP Learning & Development Budget.
  • Local benefits and vibrant offices with weekly breakfasts and Friday demos.
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ABOUT MOSS

Fintech · Series B stage

200+ employees

17 more open roles at Moss

This role is English-speaking — no German required.

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