Senior Pricing Analyst (Insurance) - London Hybrid

Saga
London
5 months ago
Applications closed

Related Jobs

View all jobs

Senior Pricing Analyst

Senior Pricing Analyst (Risk)

Senior Data Analyst - Pricing Data Engineering & Automation, CUO Global Pricing

Pricing Data Analyst

Junior / Graduate Data Analyst - Commercial Analytics

Senior Data Engineer

£40000 - £55000

Senior Pricing Analyst

Salary £40,000 - £55,000 dependent on experience

Permanent   

FT – 35 hours per week

Hybrid – Home and London Hub

As a Senior Pricing Analyst you will be managing Saga’s street pricing to support the delivery of the insurance strategy, customer outcomes and contribution to the achievement of the overall P&L for Saga Services (SSL).

We are looking for an experienced pricing expert who has a proven track record of developing innovative solutions to continuously improve Saga Services' pricing capabilities and support the trading performance. Experience in personal lines, especially one of our 4 products: Motor, Home, Travel and Private Medical, is essential.

You will bring an understanding of the drivers of best-in-class street pricing and commercial success in a Personal Lines insurance business and implement innovative and new approaches to generate value. You will be working closely with the Pricing Managers to develop and implement complex solutions to help continuously improve our pricing capabilities. Additionally, you will work closely with the wider business to use your Pricing expertise to support key aspects of the Group’s strategy and company’s key shareholder objectives.

We offer flexibility over where you work you choose a place that you feel most comfortable and productive, either from home or in one of our hubs in London, Ashford or Sandwich. The Pricing & Projects team comes together twice a month, usually in our London office.

Role Responsibility

As a Senior Pricing Analyst you will be responsible for proactively using data to identify areas of opportunity to drive commercial value and competitive advantage, delivering profitable growth for Saga’s insurance business.

Other accountabilities include:

  • Model, interpret and monitor business data to identify and confirm market trends, product opportunities and new / changing rating factors.
  • Provide pricing thought leadership using your experience of insurance pricing and data.
  • Provide subject matter expert support in your areas of expertise on strategic projects.
  • Assist in development of pricing models for deployment to the rating system, making best use of Radar and other software tools.
  • Make recommendations based on your analysis.
  • Mine, extract and interpret data to bring out insights, using cutting edge techniques, including machine learning.
  • Monitor and assess impact of changes post implementation and proactively recommend amendments to flag where further investigation and action is needed.
  • Develop an excellent relationship with our in-house underwriter, including working on joint insurance initiatives to enhance group value.
  • Pricing support for business change initiatives.
  • Ensure adherence to pricing fairness rules and data usage policies.
  • Represent the needs of the pricing department in business change programmes as required.
  • Supporting testing of price-related IT changes if required.
  • Support in the learning and development of analysts within the pricing team.

The Ideal Candidate

As a Senior Pricing Analyst, personal lines experience is essential, ideally within one of our core 4 products: Motor, Home, Travel and Private Medical.

Other industry experience would include:

  • Detailed knowledge of General Insurance pricing processes and methodologies.
  • Strong numerical and statistical capabilities.
  • Inquisitive, natural problem solver.
  • Excellent oral and written communication skills.
  • Strong influencing and relationship management skills.
  • Possesses strong team coaching/management abilities and actively motivates others to win.
  • Proactive, enthusiastic, and self-motivated.
  • Strong organisational skills, e.g. time management, documentation etc.
  • Knowledge of modelling software, such as Radar, Emblem, or similar systems.
  • Experienced in some programming languages such as SQL, R and Python.
  • Understanding of regulatory requirements in relation to pricing.

Package Description

Everyday our colleagues deliver exceptional experiences to our customers. We believe exceptional work deserves even more exceptional rewards, that's why we have put together an amazing benefits package for all colleagues.

We offer flexibility over where you work you choose a place that you feel most comfortable and productive, either from home or in one of our hubs in London, Ashford or Sandwich.

BENEFITS AVAILABLE TO ALL COLLEAGUES:

  • Our working week is 35 hours per week, these can be worked flexibly to suit your working style
  • 25 days holiday + bank holidays
  • Option to purchase additional leave up to 5 extra days
  • Pension scheme matched up to 10%
  • Life assurance policy on joining us
  • Wellbeing programme
  • Colleague discounts including family discounts on cruises and holidays
  • Range of reductions and offers from leading retailers, travel groups and entertainment companies
  • Enhanced maternity and paternity leave
  • Grandparents leave
  • Company performance related annual bonus - Up to 5%
  • Income protection
  • Access to Saga Academy, our bespoke learning platform

About the CompanyOver the past 70 years we have become the UK's specialist provider of products and services to people aged over 50 in the UK. The Saga brand has become one of the most recognised and trusted brands amongst UK consumers in this demographic, recognised for its high quality products and exceptional standards of service. These include cruises and holidays, insurance, personal finance and the Saga Magazine.At Saga we are committed to treating all employees fairly and to offering equal opportunities in all aspects of employment and advancement. We value diversity not just because it is the right thing to do, but because diverse teams perform better.Fair consideration is given to applications from all applicants, including those with disabilities and those over who are over 50 as we are champions of age inclusivity. We are an official Disability Confident Committed employer and ensure that our recruitment process is inclusive and accessible and we will make reasonable adjustments as required. For more information on our DEI policies please visit our Saga Careers page.​Saga does not accept agency CVs unless specifically engaged on the role by the Talent Acquisition Team. Please do not forward CVs to our recruiters, employees or any other company location. Saga will not be responsible for any fees related to CVs received in this unsolicited manner.Job Reference:saga/TP/56250/3081

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Top 10 Best UK Universities for Machine Learning Degrees (2025 Guide)

Explore ten UK universities that deliver world-class machine-learning degrees in 2025. Compare entry requirements, course content, research strength and industry links to find the programme that fits your goals. Machine learning (ML) has shifted from academic curiosity to the engine powering everything from personalised medicine to autonomous vehicles. UK universities have long been pioneers in the field, and their programmes now blend rigorous theory with hands-on practice on industrial-scale datasets. Below, we highlight ten institutions whose undergraduate or postgraduate pathways focus squarely on machine learning. League tables move each year, but these universities consistently excel in teaching, research and collaboration with industry.

How to Write a Winning Cover Letter for Machine Learning Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for machine learning jobs with this proven 4-paragraph structure. Ideal for entry-level candidates, career switchers, and professionals looking to advance in the machine learning sector. When applying for a machine learning job, your cover letter is a vital part of your application. Machine learning is an exciting and rapidly evolving field, and your cover letter offers the chance to demonstrate your technical expertise, passion for AI, and your ability to apply machine learning techniques to solve real-world problems. Writing a cover letter for machine learning roles may feel intimidating, but by following a clear structure, you can showcase your strengths effectively. Whether you're just entering the field, transitioning from another role, or looking to advance your career in machine learning, this article will guide you through a proven four-paragraph structure. We’ll provide practical tips and sample lines to help you create a compelling cover letter that catches the attention of hiring managers in the machine learning job market.

Veterans in Machine Learning: A Military‑to‑Civilian Pathway into AI Careers

Introduction Artificial intelligence is no longer relegated to sci‑fi films—it underpins battlefield decision‑support, fraud detection, and even supermarket logistics. The UK Government’s 2025 AI Sector Deal forecasts an additional £200 billion in GDP by 2030, with machine‑learning (ML) engineers cited as the nation’s second most in‑demand tech role (Tech Nation 2024). The Ministry of Defence’s Defence AI Strategy echoes that urgency, earmarking £1.6 billion for FY 2025–28 to embed ML into planning, logistics, and autonomous systems. If you have ever tuned a radar filter, plotted artillery trajectories, or sifted sensor data for actionable intel, you have already worked with statistical modelling—the backbone of machine learning. This guide shows UK veterans how to reframe military experience for ML roles, leverage MoD transition funding, and land high‑impact positions building the models shaping tomorrow’s defence and commercial landscapes. Quick Win: Bookmark our live board for Machine‑Learning Engineer roles to see who’s hiring today.