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Vitality

Data Analyst (Life Actuarial)

London
Posted about 24 hours ago
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Team - Actuarial-Life

Working Pattern

  • Hybrid - 2 days per week in the Vitality London Office
  • Full time, 37.5 hours per week

We are happy to discuss flexible working!

Top 3 skills needed for this role

  • Highly developed analytical and problem-solving capability with good attention to detail.
  • Proven Statistical Modelling Capability
  • Advanced Programming & Visualisation Skills

What this role is all about

As a Data Analyst within the VitalityLife Actuarial team, this role plays a key part in supporting data-driven choices made through the analysis of actuarial experience, profitability drivers, trends, and capital requirements. Working alongside Actuarial, Data Science, Business Intelligence, and Data Engineering teams, the position focuses on developing and enhancing analytical models, data processes, and insights that help deliver scalable solutions and drive commercial value across the business.

Key Actions

  • Support the ownership, maintenance, and continuous development of actuarial data assets, including feature engineering processes and experience analysis models used across the Life business.
  • Analyse lapse, claims, retention, and business mix experience to identify trends, monitor performance, and provide insights that support strategic decision making.
  • Design, build, test, and document new data processes and analytical solutions in support of product launches, regulatory changes, and business initiatives.
  • Maintain, enhance, and optimise existing actuarial models and data workflows, ensuring outputs remain accurate, reliable, and fit for purpose.
  • Develop scalable analytical solutions using R, Python, and SQL to improve data accessibility, modelling capability, and operational efficiency.
  • Work collaboratively with Actuarial, Data Science, Business Intelligence, and Data Engineering teams to deliver high-quality data products and business insights.
  • Identify opportunities to strengthen controls, improve governance, and enhance processes across the Actuarial function through automation and continuous improvement.
  • Support the delivery of actuarial and business projects by supporting analysis, testing, implementation activities, and subject matter expertise.
  • Prepare and communicate critical findings to stakeholders, translating complex data into clear and actionable recommendations.
  • Support audit and compliance requirements by maintaining documentation, evidencing controls, and responding to internal and external stakeholder queries.

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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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What do you need to thrive?

  • Strong experience analysing complex datasets and translating findings into meaningful business insights.
  • Proficiency in data analysis tools and programming languages such as R, Python, and SQL.
  • Ability to build, maintain, and enhance analytical models within a regulated or data-driven environment.
  • Strong understanding of data quality, governance, and control frameworks with a focus on accuracy and reliability.
  • Experience developing data processes, reporting solutions, and scalable analytical outputs for business stakeholders.
  • Excellent communication skills with the ability to present complex information clearly to both technical and non-technical audiences.
  • Strong problem-solving capability with a proactive approach to identifying improvements and delivering practical solutions.
  • Ability to manage competing priorities and work effectively within a fast-paced and evolving business environment.
  • Collaborative approach with experience working across multidisciplinary teams to deliver shared objectives.
  • Degree-level qualification in a quantitative discipline such as Mathematics, Actuarial Science, Economics, Engineering, or Computer Science.

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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.

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Skills

Analytical and Problem-solving
Statistical Modelling
Programming
Visualisation
R
Python
SQL
Feature Engineering
Experience Analysis
Data Governance
Data Quality
Stakeholder Communication

Location

London, England, United Kingdom

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