Principal Pricing Analyst

esure
Reigate
11 months ago
Applications closed

Related Jobs

View all jobs

Principal Data Scientist- CPG

Mid-Level/Principal Data Scientist

Data Scientist

Pricing Actuary / Data Scientist F/M

Pricing Actuary / Data Scientist F/M

Principal Data Scientist

Company Description

Here at esure, we’re no strangers to change. As one of the industry leaders in the insurance business, striving to become a world class digital insurer, we’re getting ready for more. It’s creating great new opportunities for innovative and talented industry professionals to join us at a pivotal point in our development.

Job Description

Our Pricing team is the engine room of our business and key to our continued success. The Principal Pricing Analyst will help us to significantly improve the profitability of esure through driving improvements to our Motor pricing, across all of our brands and channels.

It’s a very exciting time to join the team! We have delivered a huge transformation programme and continue to strive to become a world class, data driven and digital business. We implemented a brand-new platform, improved data systems and now have no old technology holding us back. With your help we can analyse real time data, this means we are really looking for an individual who is passionate about all things data, loves to get into the detail of things and can use data to tell a story and make recommendations to our business.

What you will do:

Recommend, deliver and coordinate changes to prices and underwriting criteria for our Motor products to help achieve volume and profit targets. Collaborate with the business to help them understand main aspects of Pricing risk pricing, retail pricing and expenses, including how these are modelled and derived. Lead and coordinate the build and updating of significant risk/retail models using Radar, Emblem and any other alternative modelling/Data Science techniques. Have full oversight of analysis to monitor any issues in key aspects of business performance, such as conversion, retention, loss ratios, and rate analysis. Use insights gained from internal and external sources to deliver a step change improvement to esure’s pricing capabilities. Be a coach and mentor to our Analysts and Senior Analysts and support in managing tasks, assessing priorities and mentorship on key data or projects Support in the delivery of pricing initiatives, as well as feeding in new ideas, to make our pricing and rating capabilities market leading.

Qualifications

We’d love you to have:

A passion for data, analysis and drawing meaningful insight from data to share with a business to make impactful recommendations and changes. Experience within a Senior or Principal Pricing role with knowledge of the UK Motor or Home insurance products / markets. Experience with Radar and other insurance pricing software such as Emblem. Good experience with statistical software SQL Solid understanding of pricing and modelling techniques The ability to communicate technical information in non-technical terms and to be able to produce clear and concise reports.

Additional Information

Why choose us?

This is your opportunity to be at the forefront of our game-changing journey and be part of something truly special! And to top it off, here are some perks to life at esure…

A competitive salary that recognises your skills and potential A bonus scheme that celebrates your contribution to esure’s success Discounts on our insurance products, for you and your family 25 days annual leave, plus 8 flex days to be taken as and when suits you Benefits just for you: our hub – My Benefits Box – is loaded with perks to choose from, so you can build a personal toolkit to support your health, wellbeing, lifestyle, and finances. Grow your career with us: whatever your goals, we’ll support you with hands-on training, mentoring, a LinkedIn Learning licence, access to our exclusive Academies, regular career conversations, and expert partner resources from the likes of Women in Data and Women in Tech. Join our communities: our networks give you the chance to connect, learn and share with like-minded colleagues across the business – for work and play. So, it’s no surprise our people consistently rate ‘making friends at work’ one of the highest scorers in our colleague engagement survey More flexibility for you: we’re a proud supporter of the ABI’s Make Flexible Work campaign and welcome you to ask about the flexibility you need, whether it’s part time, job sharing, or compressed hours. Our hybrid working approach also puts you in the driving seat of how and where you do your best work. Live a healthy lifestyle: we offer lots of support, so you feel like the best version of yourself – like specialist advice through our employee assistance programme, wellbeing classes, access to the My Health Advantage app, our Big Team Challenge, and learning sessions on topics like menopause. A helping hand to do your bit for a greener and safer world: driving good in the world couldn’t be more important to us. That’s why we encourage colleagues to use volunteering days to support their local communities and have lots of initiatives to help you live a greener lifestyle. Everyday appreciation: praise from your colleagues means the world! Our social recognition tool makes it easy to give colleagues the praise they deserve, and you could even be shortlisted for a company-wide ACE Award.

We understand some people may not apply for jobs unless they tick every box. If you are excited about joining us and think you have some of what we are looking for, even if you’re not 100% sure we would love to hear from you.

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.

Portfolio Projects That Get You Hired for AI Jobs (With Real GitHub Examples)

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

AI Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.