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Pacific Life Re

Pacific Life Re

www.pacificlifere.com

3 Jobs

843 Employees

About the Company

At Pacific Life Re, our vision is to bring an innovative and dynamic approach to the marketplace. Our global team, comprising some of the best minds in the industry, is not afraid to disrupt and challenge industry thinking to provide the best life, critical illness, income protection, hospital cash and savings & retirement products and services possible.

Working in some of the most complex and fast-moving markets has taught us that knowledge and innovation go hand in hand. We pursue personalised, bespoke solutions for every one of our clients and our commitment to cutting-edge technology reflects our ambition to offer the most sophisticated answers to the most challenging reinsurance questions. Today, we are continuing our rapid growth internationally with offices across Europe, Asia, North America, Australia and a new global HQ in Bermuda.

With over 700 employees across the globe, we take pride in our inclusive culture, underpinned by our principles and behaviours, providing an environment where everyone can grow and develop. We are equally proud of the security and freedom we possess from having the backing of our parent company Pacific Life. With a heritage of more than 150 years, Pacific Life provides strength and resilience to our business which enables us to bring our fresh and dynamic approach to the marketplace.

To find out about our latest vacancies, please visit the careers section on our website: www.pacificlifere.com

Listed Jobs

Company background Company brand
Company Name
Pacific Life Re
Job Title
Senior Data Scientist
Job Description
**Job title**: Senior Data Scientist **Role Summary**: Lead the design, development, and deployment of advanced machine learning and AI solutions to modernize life insurance underwriting workflows, transforming unstructured medical data into actionable insights. **Expectations** - Deliver high‑impact data‑driven models that improve underwriting accuracy and efficiency. - Integrate large‑language models (LLMs) and agentic frameworks to automate data processing and decision support. - Partner with underwriting, actuarial, and technology teams to identify and prioritize process improvements. - Mentor junior data scientists and analysts, fostering a collaborative research environment. - Communicate complex findings to stakeholders through concise reports and presentations. - Remain current on industry trends and emerging ML technologies. **Key Responsibilities** - Build, test, and scale predictive models using Python, SQL, TensorFlow, scikit‑learn, and other ML libraries. - Process and feature‑engineer unstructured medical records for inclusion in underwriting models. - Design and implement LLM‑driven workflows to automate routine underwriting tasks. - Conduct exploratory data analysis on large, heterogeneous datasets to uncover insights. - Draft technical documentation and model deployment plans for production use. - Collaborate with cross‑functional teams to define data requirements and success metrics. - Provide mentorship and code reviews to junior team members. **Required Skills** - Proficient in Python, SQL, and modern ML libraries (TensorFlow, PyTorch, scikit‑learn). - Experience applying large‑language models to build agentic data pipelines. - Strong analytical and problem‑solving capabilities. - Excellent written and verbal communication; ability to present technical results to non‑technical stakeholders. - Proven teamwork and collaboration in cross‑functional environments. - Familiarity with life/health insurance underwriting processes and regulations is a plus. **Required Education & Certifications** - Bachelor’s, Master’s, or Ph.D. in Data Science, Statistics, Computer Science, or a related quantitative field. - 8+ years of technology‑focused data science experience, preferably within the life/health insurance sector. - Relevant certifications (e.g., TensorFlow Developer, AWS Certified Machine Learning) are desirable but not mandatory.
Newport beach, United states
On site
Senior
30-01-2026
Company background Company brand
Company Name
Pacific Life Re
Job Title
Full Stack Developer
Job Description
**Job Title:** Full Stack Developer **Role Summary:** Deliver final phase of global application roll-out, transition to business-as-usual (BAU) system maintenance and enhancements, and maintain integrations with external client systems. **Expectations:** Collaborate with cross-functional teams, ensure secure/resilient application alignment with company standards, adapt to evolving stakeholder needs, and contribute to non-standard solutions as required. **Key Responsibilities:** Design and implement system enhancements; maintain Harmony application (C#, ASP.NET, TypeScript/React); develop/maintain client integration libraries (Tyche, SQL Server, Excel, Alteryx); optimize complex data applications and support users. **Required Skills:** C#, ASP.NET, REST API, TypeScript/React (HTML/CSS), Git/Bitbucket/Pipelines; relational database knowledge; Agile methodologies; CI/CD experience. **Required Education & Certifications:** Bachelor's degree in Computer Science or related field.
London, United kingdom
Hybrid
04-03-2026
Company background Company brand
Company Name
Pacific Life Re
Job Title
Director, Software Engineering in Test (SET)
Job Description
Job Title: Director, Software Engineering in Test (SET) Role Summary: Leads the organization’s Software Engineering in Test strategy, driving standardization, automation, and AI‑enabled quality assurance across the entire development lifecycle. Owns the development of scalable testing frameworks, establishes quality metrics, and fosters a federated engineering culture that integrates testing into every phase of product delivery. Expactations: • Deliver sustained, measurable improvements in test coverage and defect detection rates. • Champion “automate everything” philosophy, advancing from manual to intelligent, adaptive testing. • Align QA/SET initiatives with business goals to enable rapid, reliable releases. • Build and maintain high‑performing, cross‑functional teams that embed testing expertise into all engineering roles. Key Responsibilities: • Design, implement, and evolve automated test frameworks and environments for functional, integration, system, and performance testing. • Drive adoption of AI/ML solutions for test generation, self‑healing tests, code reviews, and incident triage. • Define and oversee quality engineering OKRs, metrics, and dashboards. • Standardize testing practices, policies, and tooling across multiple product lines. • Partner with DevOps, security, and compliance teams to embed testability, performance, and security into the SDLC. • Lead continuous improvement initiatives, incorporating emerging testing trends and GenAI tools. • Communicate strategy, progress, and metrics to senior leadership and cross‑functional stakeholders. Required Skills: • Executive leadership and organizational influence. • Deep expertise in test automation tools (e.g., Selenium, Appium, Cypress, JUnit, TestNG). • Experience with performance and security testing (e.g., JMeter, Gatling, OWASP ZAP). • Knowledge of AI/ML for software testing and data‑driven quality insights. • Strong program management, prioritization, and delivery in fast‑changing environments. • Proficiency in CI/CD, cloud, and infrastructure as code. • Excellent communication, mentoring, and stakeholder engagement. Required Education & Certifications: • Bachelor’s degree in Computer Science, Software Engineering, or related field (minimum). • 8+ years of software QA/engineering experience, 3+ years in a leadership role. • ISTQB Advanced Level or equivalent QA certification preferred. • Agile or project‑management certification (CSM, PMI‑ACP, Prince2) advantageous. • Familiarity with financial‑services regulatory compliance (e.g., PCI‑DSS, SOC‑2) is a plus.
Newport beach, United states
On site
09-03-2026