Actuarial Analyst (Health Pricing)

Vitality; Greater London; Hybrid; GBP 50,000 - 60,000; Full time

Benefits offered by this job

Bonus schemes

Pension

Health insurance

Life assurance

Job summary

Vitality is seeking an Actuarial Analyst to join our Health Pricing team. You will develop statistical models underpinning insurance premiums, using Python and SQL to analyse pricing data, monitor model performance and enhance regional pricing processes.

You will work with actuaries and data scientists to deliver robust pricing solutions, support model validation, automation, and clear stakeholder communications while contributing to commercial performance.

Qualifications

• Numerical degree or 2:1 in a relevant subject.
• Programming experience with Python/SQL/R.
• Solid understanding of statistics incl. regression/GLMs.
• Strong Excel/Office skills.
• Ability to communicate clearly.

Responsibilities

• Support rebuild and development of risk models using GLM and ML for claims frequency/severity.
• Prepare, cleanse and validate data for pricing analyses and modelling outputs.
• Perform feature engineering, model validation and reasonability checks.
• Monitor model performance via actual-vs-expected analyses and drift checks.
• Identify changes in model performance and advise on recalibration or further investigation.
• Assist rate-change impact analysis and data for elasticity modelling.
• Build simple statistical models and document assumptions/risks.
• Automate Excel processes using Python/SQL and AI to improve efficiency.
• Present analysis and keep stakeholders informed; collaborate to resolve data issues.

Skills

Python

SQL

Statistics

Data analysis

Education

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

Tools

GLM

Machine Learning

Job description

Team – Pricing

Working Pattern - Hybrid – 2 days per week in the Vitality Bournemouth or London Office. Full-time hours apply.

We are happy to discuss flexible working!

Top 3 skills needed for this role:

• Strong Python & SQL Capability
• Practical Statistical Modelling
• Proven Data Analysis Skills

What this role is all about

We’re looking for an Actuarial Analyst to join our Health Pricing team and support the development of the statistical models that underpin our insurance premiums. Working with actuaries and data scientists, the role will use Python and SQL to analyse pricing data, monitor model performance and improve established processes. This is an opportunity to build practical experience across health insurance pricing while contributing to commercial performance.

What you'll be doing

• Support the 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 where recalibration or further investigation may be required
• Support rate change impact analysis and prepare the data used for conversion and elasticity modelling
• Build simple statistical models and work effectively with existing models, documenting their assumptions, risks and limitations
• Automate manual Excel processes using Python, SQL and AI to improve the efficiency and consistency of pricing activity
• Present analysis clearly, keep stakeholders informed and collaborate with colleagues to resolve data or modelling issues
• Take ownership of work quality, deadlines and small analytical or automation projects with appropriate guidance

What do you need to thrive?

• A numerical degree or expected 2:1 or above in a relevant subject such as 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

So, what’s in it for you?

• Bonus Schemes – A bonus that regularly rewards you for your performance
• A pension of up to 12%– We will match your contributions up to 6% of your salary
• Our award-winning Vitality health insurance – With its own set of rewards and benefits
• Life Assurance – Four times annual salary

These are just some of the many perks that we offer! To view the extensive range of benefits we offer, please visit our careers page. Fantastic Benefits. Exciting rewards. Great career opportunities!

If you are successful in your application and join us at Vitality, this is our promise to you, we will:

• Help you to be the healthiest you’ve ever been
• Create an environment that embraces you as you are and enables you to be your best self
• Give you flexibility on how, where and when you work
• Help you advance your career by playing you to your strengths
• Give you a voice to help our business grow and make Vitality a great place to be
• Give you the space to try, fail and learn
• Provide a healthy balance of challenge and support
• Recognise and reward you with a competitive salary and amazing benefits
• Be there for you when you need us
• Provide opportunities for you to be a force for good in society

We commit to all these things because we want you to feel that you belong, and are supported to be happy and healthy.