Life Insurance Jobs

951,069 open positions · Updated daily

Life Insurance is pivoting toward data‑driven products as insurers deploy AI for underwriting, real‑time pricing, and predictive claims modeling. The surge in digital customer journeys has doubled demand for tech talent that can translate actuarial insights into scalable platforms.

Key roles include Actuarial Analysts who build loss‑prediction models in SAS or R, Underwriting Automation Engineers who develop rule‑based engines on Python and Salesforce, Claims Data Scientists who mine claim histories with SQL and Tableau, Product Managers who shape digital policy offerings, and Risk Analytics Specialists who implement ESG risk metrics.

Salary transparency in Life Insurance tech lets candidates compare market rates for niche skills, reduce negotiation time, and attract diverse talent who value equity. Knowing exact pay ranges for actuarial, data, and engineering roles drives informed career moves and helps firms benchmark against industry leaders.

Machine Learning Engineer-4 years of experience

Company: B2U Storage Solutions

Location: United States

Posted Oct 23, 2025

Develop and deploy machine learning models to predict battery degradation, state of charge, and safety conditions using large datasets.

Reconstruction Tech - (drywall, texture, paint, trim, etc)

Company: SERVICE MASTER RESTORATION BY ORC

Location: Phoenix, AZ

Posted Oct 23, 2025

Reliable Vehicle to Use for Work [we reimburse mileage]. Working at heights and/or on ladders,. The Reconstruction Team is responsible for putting homes back to…

Security Officer - Academic Patrol Operations

Company: Allied Universal

Location: Philadelphia, PA

Posted Oct 23, 2025

A valid driver's license will be required for driving positions only. As a condition of employment, applicants will be subject to a background investigation in…

Security Officer

Company: Job 1 USA Security

Location: Horsham, PA

Posted Oct 23, 2025

Security Guard certification/license (as required by state or local regulations). Control access points and verify credentials for employees, visitors, and…

Call Center Specialist

Company: Texas Star Pharmacy

Location: Plano, TX

Posted Oct 23, 2025

Answer and manage incoming phone calls with professionalism and empathy, reflecting our company values. Are you comfortable handling a high volume of phone…

Experienced HVAC Service Technician

Company: Lickety-Split

Location: Jacksonville, FL

Posted Oct 23, 2025

HVAC Technicians will also be responsible for service installation to end-of-life by performing maintenance, warranty, and emergency repairs.

In-House Caterer

Company: Etz Chaim Synagogue

Location: Jacksonville, FL

Posted Oct 23, 2025

Provide warm, welcoming customer service to congregants, answer questions about ingredients or preparation (especially for those with dietary restrictions), and…

Construction Laborer

Company: Marin Workforce

Location: New York, NY

Posted Oct 23, 2025

Fire Watch certification a plus. You must have a minimum of an SST Card* and a minimum of 2 years experience working on construction sites as a laborer.

CNC Machine Operator - 2nd Shift

Company: Koch

Location: Phoenix, AZ

Posted Oct 23, 2025

Technical certification in CNC machining or related field. Ability to read and interpret blueprints and technical drawings. High school diploma or GED.

Frequently Asked Questions

What are typical salary ranges by seniority in Life Insurance tech roles?
Entry‑level Actuarial Analysts earn $70k–$90k; mid‑level analysts $90k–$120k; senior analysts or data scientists $120k–$160k; directors and VP‑level roles range $160k–$220k, often with bonus and equity components.
What skills and certifications are required?
Actuarial exams (SOA/ CAS), CPCU, or CFA; proficiency in SAS, R, Python, SQL; data visualization with Tableau or Power BI; Salesforce and API integration for underwriting; knowledge of Solvency II, Dodd‑Frank, and ESG reporting frameworks.
Is remote work available for Life Insurance tech positions?
Yes—many firms offer fully remote or hybrid models for analytics, software engineering, and product roles. Typical policies allow 3–5 remote days per week, with optional in‑office meetings for cross‑functional collaboration.
What career progression paths exist in Life Insurance tech?
Start as an Actuarial Analyst or Data Scientist, advance to Senior Analyst or Automation Engineer, then to Manager or Lead Analyst, followed by Director of Analytics or VP of Technology, and ultimately Chief Data Officer or Chief Actuary.
What industry trends are shaping Life Insurance tech?
AI‑driven underwriting, real‑time pricing engines, micro‑insurance platforms, ESG risk modeling, regulatory tech (RegTech) for compliance, automated claims processing, and blockchain for policy lifecycle management.

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