Senior Data Scientist (LLM & Classical ML) — Berlin, Germany
About the Opportunity
Moss — the corporate spend management platform trusted by finance teams across Europe — is expanding its Data & AI team and looking for a senior/lead contributor with hands-on LLM app/agent experience who 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 like invoice understanding, approval matching, reconciliation, anomaly detection, and user-assist.
The Role & Impact
This is a high-ownership role at an AI-forward company recognised by Sifted's Rising 100 and LinkedIn's Top Startups. Your models will be at the core of how finance teams automate their day-to-day work.
Your 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 Engineering — bring your models live and iterate to improve them
- Frame problems, design solutions, and drive them to measurable business impact
What You Bring
- Hands-on experience building LLM applications and agents
- Strong classical ML fundamentals — you're fluent in the core methods and when to use them
- Experience deploying and monitoring ML systems in production
- A senior/lead mindset: you take ownership from problem framing to shipped impact
If you want to build AI that transforms how finance teams work across Europe, this is the role.
🚀 Ready to Apply?
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