Health Pricing Actuarial Analyst | Hybrid Role

Vitality; Greater London; Hybrid; GBP 45,000 - 60,000; Full time

Benefits offered by this job

Bonus scheme

Pension up to 12%

Vitality health insurance

Life assurance four times annualsalary

Job summary

Vitality in the United Kingdom is seeking an Actuarial Analyst to join the Health Pricing team. You’ll develop models using Python and SQL, validate data and monitor performance to support premium decisions. This is a hybrid role with two days per week in Bournemouth or London, and opportunities for growth.

We value practical modelling, data analysis and collaboration with actuaries and data scientists, plus an appetite for AI-supported tooling and clear communication.

Qualifications

• A numerical degree or expected 2:1 or above in Actuarial Science, Mathematics, Statistics, Engineering, Computer Science, Physics or Economics.
• Programming experience using Python, R or SQL gained through study, projects or work.
• A sound understanding of statistics, ideally including regression analysis or GLMs.
• Strong Excel, Word and PowerPoint skills.
• A curious and analytical approach with the ability to challenge results and solve problems.
• Confidence using AI tools to support analysis or coding while checking the accuracy of their output.
• Clear written and verbal communication skills with the ability to work collaboratively.

Responsibilities

• Support rebuild and development of risk models using GLM and ML approaches to claims frequency and severity.
• Prepare, cleanse and validate data to ensure pricing analysis and modelling outputs are accurate and reliable.
• Complete feature engineering, model validation and reasonability checks using established actuarial processes.
• Monitor model performance through actual-versus-expected analysis, rating factor reviews and drift checks.
• Identify changes in model performance and provide evidence for recalibration or further investigation.
• Support rate change impact analysis and prepare data for conversion and elasticity modelling.
• Build simple statistical models and document their assumptions, risks and limitations.
• Automate manual Excel processes using Python, SQL and AI to improve efficiency and consistency.
• Present analysis clearly, keep stakeholders informed and collaborate to resolve data or modelling issues.
• Take ownership of work quality, deadlines and small analytic or automation projects with guidance.

Skills

Python & SQL capability

Statistical modelling

Data analysis skills

Education

Numerical degree or 2:1 in Actuarial Science/Math/Statistics/Engineering/CS/Physics/Economics

Tools

Python

SQL

Job description

Vitality in the United Kingdom is seeking an Actuarial Analyst to join the Health Pricing team. You’ll develop models using Python and SQL, validate data and monitor performance to support premium decisions. This is a hybrid role with two days per week in Bournemouth or London, and opportunities for growth.

We value practical modelling, data analysis and collaboration with actuaries and data scientists, plus an appetite for AI-supported tooling and clear communication.