Insurance Pricing Graudate

SAGA
London
9 months ago
Applications closed

Related Jobs

View all jobs

Business Liability Underwriter

Quants Analyst (AVP Level)

Principle Engineer

Call Centre Specialist

Senior Data Delivery Project Manager - Insurance/Financial Services

ML Data Engineer

Job Introduction

Insurance Pricing Graduate

Salary - £30,000

Permanent

FT – 35 hours per week

Hybrid – Home and London Hub

As a Pricing Analyst you will be contributing to 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).

As a graduate or recent graduate, you’ll join the wider Pricing & Projects team, and your work as our new Pricing Analyst will contribute to helping our pricing capabilities become the market-leading standard.

As a graduate or recent graduate, you will come from a mathematical background, bringing with you an understanding of how to organise data and identify trends. 

With a detailed onboarding plan, we will introduce you to the world of pricing and personal lines insurance, setting you up for a successful career.

In this role, you will work closely with your immediate pricing team to develop and monitor pricing models, prepare data for modelling, select and apply appropriate statistical techniques and make judgements and recommendations for price changes.

This fantastic role is complex and challenging and can make a key difference to the company's future profitability. You can expect to make real contributions to a variety of projects from the outset.

We offer flexibility over where you work – you choose a place where you feel most comfortable and productive, either from home or in one of our hubs in London or Kent. We come together with a purpose to collaborate, typically twice a month at our hub in Kings Cross, London. 

Role Responsibility

As one of our Pricing Analysts you will be accountable for the following areas; 

Proactively use data to find areas of opportunity to drive commercial value and competitive advantage, delivering profitable growth for Saga’s insurance business.  Model, interpret and monitor business data to identify and confirm market trends, product opportunities and new / changing rating factors.  Assist in development of pricing models for deployment to the rating system, making best use of Radar and other software tools.  Make recommendations to pricing leads based on your analysis. Mine, extract and interpret data to bring out insights, using innovative techniques, including machine learning. 

The Ideal Candidate

We are delighted to be able to offer study support for the successful applicant, therefore a strong mathematical education is essential.

A in either Maths or Further Maths A-Level 1st or 2:1 in a mathematical or equivalent degree (including Actuarial Science & Statistics)

As a Pricing Analyst you would be able to demonstrate the following skills and experience:

Understanding of how to organise data so that it can be used to identify trends and anomalies.  Numerical reasoning skills to be able to explain observed trends in data with logical argument.  Critical thinking skills to assimilate information from various sources to form and prove hypotheses and use judgement and all available information to test and validate hypotheses.  Use estimates, judgement, and risk-based assessments to make recommendations for action even in the absence of full information.  Commercial awareness; be able to articulate the financial impacts of your work.  Customer focus: demonstrate that you have considered the customer impact of your work. Communicate technical concepts clearly, and understand how to put across complex subjects to a wide and varied audience

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 total 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

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.

10 Ways AI Pros Stay Inspired: Boost Creativity with Side Projects, Hackathons & More

In the rapidly evolving world of Artificial Intelligence (AI), creativity and innovation are critical. AI professionals—whether data scientists, machine learning engineers, or research scientists—must constantly rejuvenate their thinking to solve complex challenges. But how exactly do these experts stay energised and creative in their work? The answer often lies in a combination of strategic habits, side projects, hackathons, Kaggle competitions, reading the latest research, and consciously stepping out of comfort zones. This article will explore why these activities are so valuable, as well as provide actionable tips for anyone looking to spark new ideas and enrich their AI career. Below, we’ll delve into tried-and-tested strategies that AI pros employ to drive innovation, foster creativity, and maintain an inspired outlook in an industry that can be both exhilarating and daunting. Whether you’re just starting your AI journey or you’re an experienced professional aiming to sharpen your skills, these insights will help you break out of ruts, discover fresh perspectives, and bring your boldest ideas to life.

Top 10 AI Career Myths Debunked: Key Facts for Aspiring Professionals

Artificial Intelligence (AI) is one of the most dynamic and rapidly growing sectors in technology today. The lure of AI-related roles continues to draw a diverse range of job seekers—from seasoned software engineers to recent graduates in fields such as mathematics, physics, or data science. Yet, despite AI’s growing prominence and accessibility, there remains a dizzying array of myths surrounding careers in this field. From ideas about requiring near-superhuman technical prowess to assumptions that machines themselves will replace these jobs, the stories we hear sometimes do more harm than good. In reality, the AI job market offers far more opportunities than the alarmist headlines and misconceptions might suggest. Here at ArtificialIntelligenceJobs.co.uk, we witness firsthand the myriad roles, backgrounds, and success stories that drive the industry forward. In this blog post, we aim to separate fact from fiction—taking the most pervasive myths about AI careers and debunking them with clear, evidence-based insights. Whether you are an established professional considering a career pivot into data science, or a student uncertain about whether AI is the right path, this article will help you gain a realistic perspective on what AI careers entail. Let’s uncover the truth behind the most common myths and discover the actual opportunities and realities you can expect in this vibrant sector.

Global vs. Local: Comparing the UK AI Job Market to International Landscapes

How to navigate salaries, opportunities, and work culture in AI across the UK, the US, Europe, and Asia Artificial Intelligence (AI) has evolved from a niche field of research to an integral component of modern industries—powering everything from chatbots and driverless cars to sophisticated data analytics in finance and healthcare. The job market for AI professionals is consequently booming, with thousands of new positions posted each month worldwide. In this blog post, we will explore how the UK’s AI job market compares to that of the United States, Europe, and Asia, delving into differences in job demand, salaries, and workplace culture. Additionally, we will provide insights for candidates considering remote or international opportunities. Whether you are a freshly qualified graduate in data science, an experienced machine learning engineer, or a professional from a parallel domain looking to transition into AI, understanding the global vs. local landscape can help you make an informed decision about your career trajectory. As the demand for artificial intelligence skills grows—and borders become more porous with hybrid and remote work—the possibilities for ambitious job-seekers are expanding exponentially. This article will offer a comprehensive look at the various regional markets, exploring how the UK fares in comparison to other major AI hubs. We’ll also suggest factors to consider when choosing where in the world to work, whether physically or remotely. By the end, you’ll have a clearer picture of the AI employment landscape, and you’ll be better prepared to carve out your own path.