Counterfactual Explanations for an Insurance Pricing Model
Overview
What this challenge is about.
You’ll generate counterfactual explanations for an insurance pricing model using DiCE and build a FastAPI service. Get a verifiable certificate.
The scenario
The scale-up (around 220 people, around 600,000 active UK motor-insurance customers) measures NPS quarterly and traces about 12% of detractor comments to opaque pricing; closing that gap is a top-3 quarterly product objective.
The Brief
What you'll do, and what you'll demonstrate.
Generate actionable, customer-facing counterfactual explanations for motor-insurance pricing that respect feature mutability and consumer comprehension.
Earning criteria — what you'll demonstrate
- Generate diverse, actionable counterfactual explanations
- Encode mutability and reasonable-bound constraints in the search
- Design a JSON contract that a frontend team can implement against
- Translate model-explanation outputs into consumer-grade copy
Program Fit
Where this fits in your program.
Sharpens the same skills your degree expects you to demonstrate.
Aligned coursework coming soon.
Skills
Skills you'll demonstrate.
Each one shows up on your verified credential.
- Counterfactual Explanations
Apply counterfactual explanations to solve real industry problems and demonstrate production-level capability.
- Dice Ml
Apply dice ml to solve real industry problems and demonstrate production-level capability.
- Interpretability
Apply interpretability to solve real industry problems and demonstrate production-level capability.
- Fastapi
Apply fastapi to solve real industry problems and demonstrate production-level capability.
- Product Design
Apply product design to solve real industry problems and demonstrate production-level capability.
- Lightgbm
Apply lightgbm 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:
AI Product Designer
Designing a JSON contract + copy guideline on top of a counterfactual generator is exactly the day-one work of an AI product designer at an insurtech or fintech scale-up.
This challenge sharpens
- product-design
- counterfactual-explanations
- interpretability
AI Engineer
Shipping a low-latency explanation service behind a FastAPI contract is core AI-engineer work at any product-led AI company.
This challenge sharpens
- fastapi
- dice-ml
- lightgbm
Data Scientist
Generating actionable model-output explanations that customer-facing teams trust transfers directly to data-science roles in customer-facing analytics teams.
This challenge sharpens
- counterfactual-explanations
- interpretability
- lightgbm