Data science jobs in Insurance industry

Data Science in Insurance

Insurance is data-driven by design. Actuarial tradition is being extended by modern data science to build more granular pricing models, automate claims assessment, detect fraud, and personalise customer retention campaigns.

Common roles

Actuarial data scientists, claims fraud analysts, pricing model engineers, and customer propensity modellers are common. Telematics and IoT analytics roles are growing in motor and home insurance.

Key skills

Python, R, generalised linear models, gradient boosting (XGBoost, LightGBM), survival analysis, SQL, and familiarity with regulatory constraints such as Solvency II are valued across the insurance sector.

QBE Insurance logo
QBE Insurance Sydney, New South Wales, Australia
Expired
QBE Insurance logo
QBE Insurance Sun Prairie, Wisconsin, United States
$23 - $40.75 per hour
Expired
GEICO logo
GEICO Chevy Chase, Maryland, United States
$105000 - $230000
Expired
Expired
GEICO logo
GEICO Chevy Chase, Maryland, United States
$80000 - $185000
Expired
Allstate logo
Allstate Remote, North Carolina, United States
$20 - $42 per hour
Expired
QBE Insurance logo
QBE Insurance Sun Prairie, Wisconsin, United States
$23.5 - $29 per hour
Expired
$130000 - $170000
Expired