As our Applied Data Scientist, your mission is to build the machine-learning models that make Yuki smart — the models that classify documents and predict the right general ledger (grootboek), turning a client's raw invoices into clean, usable accounting data.
This is a modeling role with real production discipline. You won't just train models and walk away; you'll keep them accurate as the data and the business shift.
You'll co-create with engineers and product people, and you'll grow a genuine understanding of how accountants actually think about a document.
Build the models: Train and evaluate classic ML (XGBoost, scikit-learn) and transformer models for document classification and ledger prediction.
Fine-tune LLMs: Do real model training and fine-tuning with PyTorch and HuggingFace.
Design experiments: Own feature engineering, model evaluation, and selection, plus embedding and retrieval strategy for vector search.
Guard production quality: Run drift detection, eval pipelines, and the MLflow model registry so models hold up over time.
Learn the domain: Build deep understanding of accounting and financial-document structure, and translate it back into modeling decisions.

A strong applied ML background, comfortable across both classic ML and transformer models.
Hands-on with the stack: Python, PyTorch, scikit-learn, HuggingFace, Pandas, MLflow, Databricks, Snowflake.
Rigorous about evaluation, you ship models that survive contact with production, not just the notebook.
A communicator and co-creator: strong IC who thinks, shares, and explains ML in plain business language (data-driven storytelling and visualization a real plus).
Nice to have: financial/accounting domain exposure and experience with large document corpora.
Fluent English is a must.

Personal development: A generous training budget available from day one for specialised certifications, courses and training to solidify your expertise.
Time off and flexibility: Plenty vacation days (and the option to buy extra days), plus the possibility of Workation: up to 5 weeks per year of remote work.
Well-being & focus: Access to lifestyle coaches, well-being programs and other initiatives that contribute to your well-being and focus.
Financial security: A competitive base salary with attractive benefits.
Plenty of opportunities: Enjoy the speed and autonomy of an innovative scale-up, backed by the stability, vast resources, and global career network of the Visma Group.
Team & international culture: Participate in (international) team-building days, and other Yuki events that strengthen the close team spirit in a diverse and international environment.

Data Scientist

Key skills