Also called: Insurance Data Scientist
Builds machine-learning models that help insurers price policies and spot fraud.
You train a model that flags suspicious claims, then make sure it isn't unfair to certain groups, which regulators check closely.
Approximate: anchored on Bureau of Labor Statistics data for a broader job group.
Master's degree, about 6 years after high school. Master's in statistics, data science, or actuarial science.
Ways in: 4-year college, Graduate school. Training cost: $60k – $150k.
Majors to look at: Statistics, Data Science, Actuarial Science.
Growing much faster than average (about 34% over 10 years). Growth is for data scientists overall.
Medium risk in 5 years, high in 10. AutoML and AI agents now build pricing and fraud models; fewer modelers, more who check fairness for regulators.
Classes: AP Statistics, AP Computer Science, AP Calculus.
Official data: O*NET occupation 15-2051.
Career Universe is an early version. Pay, training and AI-risk figures are estimates to start your own research, not verified facts. The research was written with AI research assistants, checked by validation scripts and spot-checked by hand. Check anything important with schools, employers and official sources. How the numbers work.