Moss's Data & AI team is hiring a Senior Data Scientist to own end-to-end LLM/ML initiatives, from problem framing to deployment, improving core finance workflows like invoice understanding, reconciliation, and anomaly detection.
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 and iterate until models are adopted by stakeholders
Requirements
- ▹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
Soft skills
Strategic problem solver: deep understanding of business context, rigorous validation of assumptionsEnd-to-end executor: independently owns projects from ideation to productionBalances model performance with engineering realities
What we offer
- ▹Top-of-market compensation package, including equity
- ▹Vibrant offices with weekly breakfasts and Friday demos
- ▹20 days 'work from abroad'
- ▹600 EUR/GBP Learning & Development budget
- ▹Additional local benefits
About the company
Moss is a SaaS scale-up founded in Berlin, with 300+ people from 50+ nationalities across 5 European offices. It aims to power every SMB's spend across Europe with a fully digital, AI-driven product used by over 5,000 businesses in Germany, the Netherlands, and the UK, and has raised €180 million in funding.
Languages: Angol: Felsőfok
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