Biometric Risk Scientist & Actuary

Pacific Life Re; Greater London; On-site; GBP 74,000 - 111,000; Full time

Job summary

Pacific Life Re is seeking a Biometric Research Scientist / Actuary to play a key role in mortality, morbidity, and disability risk research. You will work with large longitudinal datasets, applying statistics and machine learning to inform underwriting, pricing, and product development.

This role sits at the intersection of actuarial science, data science, biometrics, and insurance innovation, collaborating with actuaries, underwriters, medical specialists, and data scientists to deliver

Qualifications

• A degree in Actuarial Science, Statistics, Mathematics, Data Science, Biostatistics, Epidemiology, or a related quantitative field.
• Experience analysing complex longitudinal datasets.
• Strong statistical modelling and analytical skills.
• Proficiency in Python, or R and SQL preferred.
• Experience with machine learning and predictive modelling techniques.
• Excellent problem-solving and communication skills.

Responsibilities

• Prepare, validate, and analyse large longitudinal datasets from insurance, underwriting, claims, health, and related sources.
• Develop statistical and machine learning models to quantify mortality, morbidity, and disability risk.
• Apply survival analysis, experience investigations, predictive modelling, and risk factor analysis.
• Generate insights that support underwriting, pricing, product development, and research initiatives.
• Collaborate with actuaries, underwriters, medical specialists, and data scientists across the business.
• Present findings clearly to both technical and non-technical stakeholders.

Skills

Longitudinal data

Statistical modelling

Machine learning

Problem solving

Communication

Education

Quantitative degree (Actuarial/Statistics/Math/Data Science/Biostatistics/Epidemiology)

Tools

Python

R

SQL

AWS/Azure

Job description

Pacific Life Re is seeking a Biometric Research Scientist / Actuary to play a key role in mortality, morbidity, and disability risk research. You will work with large longitudinal datasets, applying statistics and machine learning to inform underwriting, pricing, and product development.

This role sits at the intersection of actuarial science, data science, biometrics, and insurance innovation, collaborating with actuaries, underwriters, medical specialists, and data scientists to deliver