Biometric Research Scientist / Actuary at Pacific Life Re | England, GB | Rezi

Biometric Research Scientist / Actuary at Pacific Life Re

Biometric Research Scientist / Actuary

Pacific Life Re · England, GB

2 weeks ago

Biometric Research Scientist / Actuary

Pacific Life Re · England, GB

19 days ago
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About the Role

Pacific Life Re's Strategic Analytics team is seeking a Biometric Research Scientist / Actuary to support research into mortality, morbidity, and disability risk. Working with large longitudinal datasets, you will apply statistical and machine learning techniques to understand the impact of medical, behavioural, demographic, and socio-economic risk factors. Your insights will help inform underwriting innovation, risk assessment, product development, and actuarial research across the business. This role offers an opportunity to work at the intersection of actuarial science, data science, biometrics, and insurance innovation.

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 techniques such as 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.
  • Present findings clearly to both technical and non-technical stakeholders.

Requirements

  • 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.
  • Experience in life insurance, reinsurance, healthcare analytics, epidemiology, or related fields.
  • Knowledge of mortality, morbidity, disability, or survival modelling.
  • Actuarial qualifications (FIA or equivalent) or progression towards qualification.
  • Experience with cloud-based analytics platforms such as AWS or Azure.

Skills

  • Python
  • R
  • SQL
  • Machine learning
  • Predictive modelling
  • Statistical modelling
  • Analytical skills
  • Problem-solving
  • Communication skills
  • Survival analysis
  • Experience investigations
  • Risk factor analysis

Work Type

  • Fixed-Term Contract

Education Level

  • Degree in Actuarial Science, Statistics, Mathematics, Data Science, Biostatistics, Epidemiology, or a related quantitative field.
  • Actuarial qualifications (FIA or equivalent) or progression towards qualification.

Benefits

  • 25 days of annual leave with option to buy/sell more days
  • Adoption and fertility leave
  • Generous enhanced parental leave
  • Comprehensive private insurance coverage for employee and dependents
  • Group Life Insurance coverage of 9x basic annual salary
  • Group Income Protection up to 75% of basic annual salary
  • Optical benefits
  • 15% combined employee/employer contributions to savings/retirement
  • Subsidized gym membership
  • Access to Employee Assistance Program
  • Cycle to Work and Electric Car Salary Sacrifice Scheme
  • Time off for volunteering
  • Charitable matching of employee donations

About the Company

  • Every person in our global team is valued for the unique qualities they bring to our business and we seek to build their expertise and support their individual ambitions at every step.
  • We work hard and thrive on achievement, but we also know how to have fun and relax too.
  • We regularly host a range of team building days to strengthen our team's connection with each other and reflect on their successes.
  • Providing employees with a healthy work-life balance is very important to our culture.
  • We have a wide range of employee benefits and we host regular social activities and well being initiatives.
  • We are also committed to supporting our employee's involvement in their communities, by actively fundraising, hosting charity events and overseeing volunteering opportunities.

Equal Opportunity

  • We are committed to a culture of diversity and inclusion that embraces the authenticity of all employees, partners and communities.
  • We support all employees to thrive and achieve their fullest potential.
  • As part of our commitment to diversity and inclusion, we will provide reasonable adjustments during the recruitment process to ensure equal access to applicants with disabilities. Please contact us about your needs so that we can discuss these with you to make sure that suitable adjustments are made, where possible.