Life Insurance Jobs

950,527 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.

Package Consultant-Oracle HCM Talent Management Cloud

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This role involves working with global clients to innovate hybrid cloud and AI solutions, requiring expertise in Oracle Cloud and HCM projects, with a focus on collaboration and technical excellence.

Quality Engineer-Automation

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This job description outlines a role at IBM Consulting's delivery centers focusing on automation testing, requiring expertise in software testing processes, programming languages, and tools. It emphasizes technical skills, education requirements, and responsibilities related to test automation and continuous delivery.

Senior Scala Developer

Company: IBM

Location: Leicester, GB

Posted Dec 09, 2025

The text describes a Senior Scala Developer role at IBM Consulting, highlighting opportunities for career growth, technical expertise, and a supportive work environment. It emphasizes collaboration, innovation, and professional development while outlining responsibilities and required skills.

(IJDS DXセンター)Application Engineer

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This job description outlines a Japanesespeaking role in IBM Consulting Japan, emphasizing career growth through hybrid cloud and AI projects, collaboration with global clients, and technical expertise in areas like Java, cloudnative development, and DevOps. The position requires Japanese communication skills (JLPT N1) and offers opportunities for leadership in large-scale projects across multiple industries.

Senior Java Developer - Public Sector

Company: IBM

Location: Cheltenham, GB

Posted Dec 09, 2025

The text promotes IBM CIC's job opportunities, highlighting benefits like career growth, training programs, work-life balance, and innovative projects. It emphasizes a supportive work environment, professional development, and competitive perks such as certifications, flexible working, and health benefits.

Product Owner with technical background (f/m/x)

Company: IBM

Location: Guemligen, CH

Posted Dec 09, 2025

This text describes a technical consulting role at IBM with opportunities for career growth, collaboration with global clients, and technical expertise in areas like Java, Angular, and SAFe methodology. It highlights benefits such as training, certification programs, and work on innovative projects involving Swiss social insurance systems.

Kubernetes Platform Engineer (Go, back-end)

Company: IBM

Location: BUDAPEST, HU

Posted Dec 09, 2025

IBM Cloud's Kubernetes Service, developed with Red Hat, offers job opportunities for engineers. The role involves creating scalable solutions using Go, Ansible, and Terraform, with a focus on customer-centric platforms.

Software Developer Intern 2026: SVL

Company: IBM

Location: San Jose, US

Posted Dec 09, 2025

This internship offers hands-on experience with real-world projects, mentorship from experienced engineers, and a clear path to full-time roles at IBM. It emphasizes collaborative learning, innovation, and professional growth through networking opportunities and access to premium resources.

Senior Data Scientist-Artificial Intelligence

Company: IBM

Location: New York, US

Posted Dec 09, 2025

This job description highlights a career in IBM Consulting focused on AI and healthcare innovation, emphasizing collaboration with global clients, developing AI models for healthcare applications, and working with cross-functional teams. It outlines required expertise in machine learning, data analysis, and cloud platforms, while offering flexibility to work from anywhere in the US.

Product Manager (Public Sector)

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

IBM CIC offers a dynamic role with career growth, extensive training, and a supportive culture. The position involves leading product strategies and collaborating with diverse teams, requiring expertise in Agile, DevOps, and cloud platforms.

Data Migration Technical Consultant

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

IBM CIC offers extensive career growth opportunities, supportive work environments, and diverse benefits including training programs, flexible working arrangements, and professional development. The role emphasizes innovation, collaboration, and technical expertise in Oracle eBS solutions.

Project Manager

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

The text describes a career in IBM Consulting focused on global client collaboration, hybrid cloud and AI innovation, and professional growth opportunities. It highlights project management responsibilities across various industries and emphasizes skills development, leadership potential, and technological expertise requirements.

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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