Senior Data Scientist (f/m/d)

Moss; Deutschland; Vor Ort; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A growing financial technology company in Germany is seeking a Senior/Lead Machine Learning Engineer to spearhead LLM initiatives. The ideal candidate has 5-10 years of applied ML experience and is fluent in implementing LLM-powered agents in production. Responsibilities include designing ML workflows and collaborating with cross-functional teams. Competitive salary, equity options, and vibrant office culture are offered.

Leistungen

Top-of-market compensation package

20 days 'work from abroad'

600EUR/GBP Learning & Development Budget

Qualifikationen

• 5-10+ years in applied ML with production ownership.
• Hands-on LLM app/agent experience in production.
• Strong Python + ML stack knowledge.
• Practical MLOps and data quality experience.
• Ability to problem-solve and prioritize effectively.
• Experience in executing projects from ideation to production.

Aufgaben

• Design and ship LLM agents to automate finance workflows.
• Own ML models for classification and anomaly detection.
• Define monitoring and evaluation standards.
• Work with engineering for CI/CD and observability.

Kenntnisse

Applied ML experience

LLM app/agent experience

Python expertise

MLOps knowledge

Strategic problem-solving

End-to-end execution

Tools

scikit-learn

XGBoost/LightGBM

PyTorch

TensorFlow

Jobbeschreibung

Overview

At Moss, we give finance professionals the power to automate their day-to-day and make forward-thinking decisions. Our team and culture are driven by impact and growth, where everyone strives to learn and excel. We are recognized by Sifted's Rising 100 and LinkedIn's Top Startups.

We're expanding our Data & AI team and looking for a senior/lead contributor who is fluent in classical ML and experienced shipping LLM-powered agents into production. You will own end-to-end ML/LLM 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

• Take design and ship LLM agents that use tools/services to automate finance workflows end-to-end.
• Own ML models for classification, ranking, anomaly detection, and recommendations.
• Define evaluation & monitoring: gold sets, automated tests, robustness checks, SLAs, and cost/latency tracking.
• Productionize with Platform/Data Eng: CI/CD, observability, drift detection, and reliable feature pipelines.

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.
• Practical MLOps (cloud, containers, orchestration, monitoring) and data quality/labelling experience.
• Strategic Problem Solver: You approach ambiguous problems by deeply understanding business context and framing data science solutions that drive meaningful outcomes. You rigorously validate assumptions, identify root causes, and prioritize solving the right problem before building.
• End-to-End Executor: You independently own projects from ideation to production, balancing model performance with engineering realities. You 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, with modules such as corporate cards, accounts payable, employee cash reimbursements and procurement.

Moss has raised a total of €180 million in funding and is backed by renowned tech investors including Valar Ventures, Tiger Global, Global Founders Capital, Cherry Ventures and A-Star.

Be part of a culture that thrives on impact and speed, where you can take bold moves, learn fast and accomplish more. Here’s what else to expect:

• Top-of-market compensation package, including equity.
• Vibrant offices at the heart of our culture, where in-person time fuels collaboration and connection over weekly breakfasts and Friday demos.
• Additional benefits include: 20 days "work from abroad", 600EUR/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).

By applying for the above position, you will confirm that you have reviewed and agreed to our Data Privacy Policy.