Overview
What this challenge is about.
Train a structured classifier to assign each claim to one bucket, then compare against a baseline. Earn a verifiable certificate.
The scenario
The insurtech (Series C, around 400 staff, around 9% of the German home-insurance digital-first market) has about 110 adjusters whose calendars are wrecked by misrouted claims; each routing fix internally is estimated to save about 3 minutes per claim.
The Brief
What you'll do, and what you'll demonstrate.
Replace 7 independent binary classifiers with a structured classifier so routing is consistent and dollar-weighted error drops.
Earning criteria — what you'll demonstrate
- Reframe a poorly-cast multi-binary problem as structured prediction
- Apply softmax or CRF heads to enforce output structure
- Design business-aligned evaluation metrics (dollar-weighted error)
- Plan a safe shadow deployment for a routing-critical model
Program Fit
Where this fits in your program.
Sharpens the same skills your degree expects you to demonstrate.
Advanced Machine Learning
Master · Machine Learning
Strong alignment
This challenge maps to Advanced Machine Learning at the Master level. It sharpens the same practical skills your coursework expects — but in a real industry context with actual constraints and deliverables.
Skills
Skills you'll demonstrate.
Each one shows up on your verified credential.
- Structured Prediction
Apply structured prediction to solve real industry problems and demonstrate production-level capability.
- Multi Class Classification
Apply multi class classification to solve real industry problems and demonstrate production-level capability.
- Model Evaluation
Apply model evaluation to solve real industry problems and demonstrate production-level capability.
- Feature Engineering
Apply feature engineering to solve real industry problems and demonstrate production-level capability.
- Scikit Learn
Apply scikit learn to solve real industry problems and demonstrate production-level capability.
- Pytorch
Apply pytorch to solve real industry problems and demonstrate production-level capability.
Careers
Career paths this challenge builds toward
Completing this challenge demonstrates skills that transfer directly to these roles:
Machine Learning Engineer
Reframing a real production problem from independent binaries to structured prediction, with a deployment plan, is the senior-leaning skill MLE candidates are screened for.
This challenge sharpens
- structured-prediction
- multi-class-classification
- scikit-learn
Data Scientist
Designing dollar-weighted metrics and per-decile slices is the analytical depth that distinguishes a strong data scientist from a metrics-parrot.
This challenge sharpens
- model-evaluation
- feature-engineering
- structured-prediction