▷ [Only 24h Left] Claims Data Scientist ...

Munich Re
London
3 weeks ago
Applications closed

Together, we engage with everything we have and are,to help humankind act braver and better. About Great LakesInsurance SE: As specialty provider of primary insurance servicesin the UK, Great Lakes London Branch (“GLLB”) is a substantial partof Great Lakes Insurance SE in Munich. Our interlocked businessmodel is to seize opportunities closely connected to thereinsurance core business and innovation opportunities, in our roleas an integral part of the Munich Re Group. Great Lakes InsuranceSE operates from its headquarters in Munich, and via branch officesin UK, Ireland, Switzerland, Italy and Australia. Great LakesInsurance UK Limited (“GLLS”), regulated by Prudential RegulationAuthority and the Financial Conduct Authority, is a fully ownedsubsidiary of Great Lakes Insurance SE and acts as the preferredfacilitator of agency insurance business in the UK in thepost-Brexit world. About the role: As a crucial member of theClaims Governance & Reporting Team, you will be accountable fordelivering high-quality, timely, and accurate reporting andmanagement information (MI) to support key decision-makingprocesses. Your primary responsibility will be to assist the Headof Claims Governance and Reporting in producing comprehensiveboard, committee, and management meeting packs, as well asdesigning and generating insightful MI reports and dashboards. -Deliver accurate, timely reports and insights to support strategicdecision-making. - Analyse claims data to identify trends, risks,and opportunities for improvement. - Collaborate on reportingstrategies that meet business and regulatory standards. - Supportsystem changes and projects to enhance operational efficiency. -Ensure data accuracy, integrity, and compliance across allreporting outputs. Key Responsibilities - Collect, structure, andanalyse client data to ensure consistency and accessibility. -Validate metrics and enhance data quality for accurate reporting. -Produce claims portfolio analysis, including root cause andperformance insights. - Lead data flow projects and coordinate withinternal and external stakeholders. - Act as product owner forclaims analytics tools and develop project roadmaps. - Usestatistical tools to identify patterns for diagnostic andpredictive analysis. - Support audits, due diligence, andregulatory reporting, including loss runs. - Contribute tostrategic initiatives (e.g. conduct risk, KPIs, consumer duty).Skills & Experience Required: - Strong skills in data analysis,interpretation, and reporting - Proficiency in Excel, Power BI,Azure DevOps, VBA, and DAX - Experience in data transformation anddashboard development - Knowledge of insurance/reinsurance anddelegated claims oversight - Strong problem-solving, communication,and organisational skills - Experience in project and productownership - Comfortable working independently in a dynamic,change-driven environment - Familiarity with SQL, R, or otherstatistical tools - Exposure to market systems and delegated claimsMI (BDX/Audit/Due Diligence) - Multilingual skills are a plusRegulatory & Conduct Requirements: - Understanding theresponsibilities and adhering to the requirements of undertaking inan FCA/PRA regulatory environment - Ensuring compliance withInsurance Distribution Directive - Satisfying all claims-relatedregulatory reporting requirements in collaboration with thereporting function - Ensuring compliance with Munich Re’s Code ofConduct and the FCA’s Conduct Rules You will be rewarded with agreat compensation package, on target bonus, 25 days annual leavewith the option to purchase more along with private medicalinsurance and employers' contributory pension of 10% We are one ofthe few employers to offer fully paid 6months family leave fortimes when you need it the most. About us You will work in anenvironment where we think big: Change and culture are continuouslyrole-modelled. We create and articulate a compelling and ambitiousshared purpose, vision and direction. We pave the way towardssuccess and see failure as learning You are going to experiencethat we care & dare: We are empathetic. We know when to leadand know when to let others lead. We attract, grow and coach futureleaders We communicate in a clear & authentic way: We interactwith a positive and humble spirit. We solicit feedback, ask andlisten, learn and unlearn You will grow with your clients: Whateverour role, we support business, in an efficient and effective way,to create value for our clients. We embrace new ways of workingusing digitalisation to deliver solutions We lead the We: We have apassion for winning and growing as a team. We inspire people to becapable of joint performance. We create an inclusive environmentwhere different thoughts, generations, cultures and experiences arevalued and encouraged At Munich Re, embracing the power ofdifferences is at the core of who we are. We believe diversityfosters resilience and innovation and enables us to act on ourpurpose of helping humankind act braver and better. We recognisediversity can be multi-dimensional, intersectional, and complex, sowe want to build a diverse workforce that includes a wide range ofracial, ethnic, sexual, and gender identities; economic andgeographic backgrounds; physical abilities; ages; life, school, andcareer experiences; and political, religious, and personal beliefs.Additionally, we are committed to building an equitable andinclusive work environment where this diversity is celebrated,valued, and has equitable opportunities to succeed. If you areexcited about this role but your experience does not alignperfectly with everything outlined, or you don’t meet everyrequirement, we encourage you to apply anyway. You might just bethe candidate we are looking for! All candidates in considerationfor any role can request a reasonable adjustment at any point inour recruitment process. You can request an adjustment by speakingto your Talent Acquisition contact. #J-18808-Ljbffr

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 AI Degrees (2025 Guide)

Discover the ten best UK universities for Artificial Intelligence degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right AI programme for you. Artificial Intelligence continues to transform industries—from healthcare to finance to transportation. The UK leads the way in AI research and education, with several universities consistently ranked among the world’s best for Computer Science. Below, we spotlight ten UK institutions offering strong AI-focused programmes at undergraduate or postgraduate level. While league tables shift year to year, these universities have a track record of excellence in teaching, research, and industry collaboration.

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

Learn how to craft the perfect cover letter for AI jobs with this proven 4-paragraph structure. Perfect for junior developers and career switchers. When applying for an AI job, your cover letter can make all the difference. For many, the process of writing a cover letter for an AI position can be daunting, especially when there are so few specific guides for tailoring it to the industry. However, a clear, effective structure combined with AI-specific language and examples can help you stand out from the competition. Whether you're a junior entering the field or a mid-career professional switching to AI, the following framework will make it easier for you to craft a compelling cover letter. In this article, we’ll take you through a proven four-paragraph structure that works and provide sample lines that you can adapt to your personal experience.

Veterans in Tech: A Military‑to‑Civilian Pathway into AI Jobs

Published on ArtificialIntelligenceJobs.co.uk – empowering the UK talent pipeline for artificial intelligence, data, and robotics. Introduction Leaving the Armed Forces is both a proud milestone and a daunting leap into the unknown. Whether you served with the Royal Navy, British Army, Royal Air Force or Royal Marines, one thing is certain: the skills you forged under pressure are in high demand—especially in the booming field of artificial intelligence (AI).  The UK’s AI market is expected to contribute £400 billion to the economy by 2030, with defence and security applications at its core. Employers from start‑ups to FTSE‑100 giants are crying out for disciplined professionals who understand mission‑critical environments. Ex‑service personnel fit the bill perfectly. This guide maps the military‑to‑civilian journey, signposts Ministry of Defence (MoD) transition programmes, and shows you exactly how to land your first AI role. Quick Win: Bookmark our live listings for Machine Learning Engineer roles to see which employers are hiring right now.