Graduate Claims Analyst

Reigate
2 months ago
Applications closed

Related Jobs

View all jobs

Graduate AI Engineer

Graduate Software Engineer

Graduate Business Systems Analyst

Graduate Football Data Scientist

Graduate Machine Learning Engineer (AI)

Graduate Actuarial Analyst (Machine Learning)

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
We currently have an incredible opportunity for a data savvy graduate to gain excellent exposure within the insurance sector and kick start their career.
As a Graduate Claims Analyst, you’ll play a key role in supporting the Claims department by providing analysis and insights. Your work will focus on interpreting data to deliver actionable recommendations, improving claims outcomes and enhancing overall company performance.
You’ll build analytical expertise by studying historical claims data to uncover trends and opportunities, helping to assess which risks to insure. Collaborating with teams like Actuaries, Data Scientists, and Pricing Engineers, you’ll learn to harness powerful insights effectively.
Key Responsibilities:

  • Providing Data Analysis: Working closely with colleagues to answer questions and make decisions about claims services we provide.
  • Supporting Reporting and Management Information: Focusing on how we analyse and visualise information to help make smarter business decisions.
  • Collaborate with various teams to ensure the accuracy and relevance of claims data analysis.
  • Assist in the development and implementation of claims saving initiatives.
  • Contributing to developing a data driven culture
    Skills and Qualifications:
  • A strong academic record, with a degree in a quantitative field such as Mathematics, Statistics, Analytics, Data Science or related subject area.
  • A passion for numbers and information.
  • A talent for solving sophisticated problems.
  • An ability to translate complex ideas into language that anyone can understand.
  • Proficiency in data analysis tools and software, such as Excel, SQL, or similar. No idea what the basics you need here?
  • A keen eye for detail and the ability to work independently and as part of a team.
    Opportunities for Growth:
  • From the moment you join us, you’ll be in a permanent position where you can own and drive your development
  • You’ll increase your knowledge of advanced technologies such as Snowflake, Azure Machine Learning, Earnix, and coding languages including Python, SQL, and R.
  • Gain hands-on experience in claims analysis and insight within a dynamic and encouraging team.
  • Develop a deep understanding of the insurance industry and claims management processes.
  • Access to ongoing training and development opportunities to improve your skills and career progression.
    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.
  • 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.