Senior Data Scientist (f/m/d)

Posted 4 Days Ago
Be an Early Applicant
2 Locations
In-Office
Senior level
Fintech • Payments • Financial Services
The Role
Lead end-to-end ML initiatives in finance automation, including LLM-powered agents and model evaluation. Requires 5-10+ years in applied ML.
Summary Generated by Built In

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.

We’re expanding our Data & AI team and looking for a senior/lead contributor who’s fluent in classical ML and experienced shipping LLM-powered agents into production. You’ll 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 payables, employee cash reimbursements and procurement.

Moss has raised a total of €180 million in funding and is backed by the most 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. We’re a place where you can fast track your career - here's what else to expect:

  • Top-of-market compensation package, including equity. 

  • Our vibrant offices are 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.

Top Skills

Cloud
Containers
Lightgbm
Mlops
Python
PyTorch
Scikit-Learn
TensorFlow
Xgboost
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
Amsterdam
371 Employees
Year Founded: 2019

What We Do

Moss saves your company time and money and gives you control over your expenses. As an end-to-end spend management solution, there’s a reason thousands of businesses across Europe rely on us. For smart spending, smooth month-end closing, and seamless integration with your existing HR and accounting systems, Moss is the superior spend management tool for finance teams

Similar Jobs

Hive (hive.app) Logo Hive (hive.app)

Senior Data Scientist

Logistics • Transportation
In-Office
Berlin, DEU

Adevinta Logo Adevinta

Senior Data Scientist

eCommerce • Marketing Tech
In-Office
Berlin, DEU

Braze Logo Braze

Consultant

Marketing Tech • Mobile • Software
Easy Apply
Hybrid
Berlin, DEU

HERE Technologies Logo HERE Technologies

PhD Researcher / Research Assistant – Autonomous Driving & Perception Stack

Artificial Intelligence • Automotive • Computer Vision • Information Technology • Internet of Things • Logistics • Software
In-Office
Berlin, DEU

Similar Companies Hiring

Amplify Platform Thumbnail
Fintech • Financial Services • Consulting • Cloud • Business Intelligence • Big Data Analytics
Scottsdale, AZ
62 Employees
Camber Thumbnail
Social Impact • Healthtech • Fintech
New York, NY
53 Employees
Rain Thumbnail
Web3 • Payments • Infrastructure as a Service (IaaS) • Fintech • Financial Services • Cryptocurrency • Blockchain
New York, NY
40 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account