Senior Data Scientist (f/m/d)

Moss; Amsterdam; On-site; EUR 120,000 - 180,000; Full time

Benefits offered by this job

Equity

In-person culture

Learning budget

Job summary

Moss is expanding its Data & AI team in Amsterdam and seeks a senior/lead contributor with hands-on LLM app experience. You’ll own end-to-end LLM/ML initiatives—framing problems, modeling, evaluating, deploying, and iterating to improve core workflows like invoice understanding, approval matching, reconciliation, anomaly detection, and user assistance.

The role requires 5–10+ years in applied ML with production ownership, strong Python and ML library skills, and the ability to balance model

Qualifications

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

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

Skills

Applied ML with production ownership

Hands-on LLM app/agent experience

Python + ML stack

Strategic problem solving

End-to-End project ownership

Tools

scikit-learn

XGBoost

LightGBM

PyTorch

TensorFlow

Job description

Our Vision

At Moss, we give finance professionals the power to automate their day‑to‑day and make forward‑thinking decisions. Our team and culture make us unique — we’re driven by impact and growth, where every one of us strives to learn and excel. Recognised by Sifted’s Rising 100 and LinkedIn's Top Startups, we’re here to help propel your career and together, make Moss a lasting success.

Position

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).

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 Eng: bring your models live and iterate/improve until they are adopted by your stakeholders.

About You

• 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: approach ambiguous problems by deeply understanding business context and framing data science solutions that drive meaningful outcomes. Validate assumptions, identify root causes, and prioritize solving the right problem.
• End‑to‑End Executor: independently own projects from ideation to production, balancing model performance with engineering realities. Ensure solutions are scalable, monitored, and maintained with thoughtful evaluation, deployment, and iteration strategies.

About Moss

Moss is a SaaS scale‑up founded in Berlin, with a team of 300+ people from 50+ nationalities in 5 offices across Europe. Our ambition is bold: to power every SMB’s spend across Europe – fully digital, AI‑driven, and seamlessly integrated for complete control. To date, over 5000 businesses in Germany, Netherlands and the UK use Moss’ leading spend management product.

Benefits

• Top‑of‑market compensation package, including equity.
• Vibrant offices at the heart of our culture, with in‑person time fuelling collaboration and connection over weekly breakfasts and Friday demos.
• Additional benefits: 20 days “work from abroad”, €600/GBP Learning & Development Budget, and other local benefits.

Unless stated otherwise, benefits apply to full‑time positions (interns and working students receive a tailored package).

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