Health Pricing Actuarial Analyst | Hybrid + Bonus

Vitality; Poole; Hybrid; GBP 40,000 - 65,000; Full time

Benefits offered by this job

Bonus scheme

Pension up to 12% matched up to 6%

Vitality health insurance

Life assurance

Job summary

Vitality is seeking an Actuarial Analyst to join the Health Pricing team in a hybrid role based in the UK. You will leverage Python and SQL to analyse pricing data, monitor model performance, and improve pricing processes alongside actuaries and data scientists.

You’ll develop risk models using GLMs and machine learning, perform data cleansing, feature engineering and validation, and automate Excel tasks to boost efficiency. A strong analytical mindset and collaboration are essential.

Qualifications

• Numerical degree or 2:1 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 output.
• Clear written and verbal communication skills with the ability to work collaboratively.

Responsibilities

• Support rebuild and development of risk models using GLM and machine-learning 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 clear evidence for recalibration or investigation.
• Support rate change impact analysis and data preparation 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 of pricing activity.
• Present analysis clearly, inform stakeholders, and collaborate to resolve data/modelling issues.
• Take ownership of work quality, deadlines and small analytical or automation projects.

Skills

Python

SQL

Statistical Modelling

Education

Numerical degree or 2:1+

Job description

Vitality is seeking an Actuarial Analyst to join the Health Pricing team in a hybrid role based in the UK. You will leverage Python and SQL to analyse pricing data, monitor model performance, and improve pricing processes alongside actuaries and data scientists.

You’ll develop risk models using GLMs and machine learning, perform data cleansing, feature engineering and validation, and automate Excel tasks to boost efficiency. A strong analytical mindset and collaboration are essential.