National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Claims Insight and Analysis Manager

Reigate
8 months ago
Applications closed

Related Jobs

View all jobs

Head of Risk Pricing

Procurement Senior Data Analyst (Supervisor)

Lead Data Analyst - Growth & Retention

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

Reserving Lead - LMRe Casualty & Specialty

Senior Data Analyst

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

Are you passionate about data, analytics, and driving business performance? We are seeking a dynamic Claims Analysis and Insight Manager to provide essential data, analytical, and insight support to our Senior Claims management team, Reserving function, Technical Pricing team, Finance department, and Executive team. This role focuses on analysing claims data for Motor and Home books of business to deliver actionable insights, driving improved claims performance and company success.

Whilst this is a Reigate based role there is some travel required for the role due to the operational offices being in Glasgow and Manchester

The day to day:

Data Analysis & Insight: Analyse financial and operational MI, focusing on Motor and Home Claims, operational MI, corporate MI, supplier performance, forecasting, and saving initiatives.
MI Delivery: Shape and deliver claims-related MI, analysis, and insights across our various workstreams including to the executive team.
Predictive Analytics: Promote and contribute to the use of predictive analytics and data science, working closely with external service providers.
Technical Collaboration: Liaise with Technical Claims Managers to understand and communicate risks, opportunities, and their financial impacts.
Project Management: Support the claims transformation programme through ownership of project elements as advised.
Reserving Coordination: Collaborate with the actuarial reserving function to provide clarity on claims performance and challenge projections.
Pricing Insights: Work with the Technical Pricing team to explain claims trends and support pricing decisions.
Finance Collaboration: Ensure robust and detailed claims-related elements of plans and re-forecasts in collaboration with Finance and Pricing.
Regulatory Compliance: Ensure timely and accurate completion of MI requests from regulatory bodies.

Qualifications

What we'd love to see:

Industry Knowledge: Strong understanding of the financial services industry, preferably with a degree in a mathematical subject or Economics.
Technical Skills:
Advanced IT skills, including statistical packages, programming (Python/R), strong SQL coding.
Experience with data warehouse tools (Databricks) and visual analysis tools (Tableau).
Analytical Skills: Excellent analytical and technical skills with strong statistical abilities.
Communication: Strong communication, interpersonal, and problem-solving skills.
Autonomy: Ability to work autonomously, manage multiple tasks, and maintain high accuracy under pressure.
Discretion: Maintain confidentiality in sensitive business information.
Key Attributes:
Resilience and motivation to provide consistent work performance.
Ability to establish and maintain effective working relationships within a team environment.
Confidence in working and liaising at a senior level.

Additional Information

This is your opportunity to shape 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.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.