Claims Data Scientist (Hiring Immediately)

Munich Re
London
3 weeks ago
Applications closed

Related Jobs

View all jobs

Data Science Manager

Data Science Manager

Data Science Manager

Business Analyst - Insurance

Personal Assistant to CTO and Team Assistant

Senior Machine Learning Engineer, Pricing

Together, we engage with everything we have and are, to help humankind act braver and better.

About Great Lakes Insurance SE:

As specialty provider of primary insurance services in the UK, Great Lakes London Branch (“GLLB”) is a substantial part of Great Lakes Insurance SE in Munich. Our interlocked business model is to seize opportunities closely connected to the reinsurance core business and innovation opportunities, in our role as an integral part of the Munich Re Group. Great Lakes Insurance SE operates from its headquarters in Munich, and via branch offices in UK, Ireland, Switzerland, Italy and Australia.

Great Lakes Insurance UK Limited (“GLLS”), regulated by Prudential Regulation Authority and the Financial Conduct Authority, is a fully owned subsidiary of Great Lakes Insurance SE and acts as the preferred facilitator of agency insurance business in the UK in the post-Brexit world.

About the role:

As a crucial member of the Claims Governance & Reporting Team, you will be accountable for delivering high-quality, timely, and accurate reporting and management information (MI) to support key decision-making processes. Your primary responsibility will be to assist the Head of Claims Governance and Reporting in producing comprehensive board, committee, and management meeting packs, as well as designing and generating insightful MI reports and dashboards.

  • Deliver accurate, timely reports and insights to support strategic decision-making.
  • Analyse claims data to identify trends, risks, and opportunities for improvement.
  • Collaborate on reporting strategies that meet business and regulatory standards.
  • Support system changes and projects to enhance operational efficiency.
  • Ensure data accuracy, integrity, and compliance across all reporting outputs.

Key Responsibilities

  • Collect, structure, and analyse client data to ensure consistency and accessibility.
  • Validate metrics and enhance data quality for accurate reporting.
  • Produce claims portfolio analysis, including root cause and performance insights.
  • Lead data flow projects and coordinate with internal and external stakeholders.
  • Act as product owner for claims analytics tools and develop project roadmaps.
  • Use statistical tools to identify patterns for diagnostic and predictive analysis.
  • Support audits, due diligence, and regulatory reporting, including loss runs.
  • Contribute to strategic 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 and dashboard development
  • Knowledge of insurance/reinsurance and delegated claims oversight
  • Strong problem-solving, communication, and organisational skills
  • Experience in project and product ownership
  • Comfortable working independently in a dynamic, change-driven environment
  • Familiarity with SQL, R, or other statistical tools
  • Exposure to market systems and delegated claims MI (BDX/Audit/Due Diligence)
  • Multilingual skills are a plus

Regulatory & Conduct Requirements:

  • Understanding the responsibilities and adhering to the requirements of undertaking in an FCA/PRA regulatory environment
  • Ensuring compliance with Insurance Distribution Directive
  • Satisfying all claims-related regulatory reporting requirements in collaboration with the reporting function
  • Ensuring compliance with Munich Re’s Code of Conduct and the FCA’s Conduct Rules

You will be rewarded with a great compensation package, on target bonus, 25 days annual leave with the option to purchase more along with private medical insurance and employers' contributory pension of 10%

We are one of the few employers to offer fully paid 6months family leave for times when you need it the most.

About us

You will work in an environment where we think big: Change and culture are continuously role-modelled. We create and articulate a compelling and ambitious shared purpose, vision and direction. We pave the way towards success and see failure as learning

You are going to experience that we care & dare: We are empathetic. We know when to lead and know when to let others lead. We attract, grow and coach future leaders

We communicate in a clear & authentic way: We interact with a positive and humble spirit. We solicit feedback, ask and listen, learn and unlearn

You will grow with your clients: Whatever our role, we support business, in an efficient and effective way, to create value for our clients. We embrace new ways of working using digitalisation to deliver solutions

We lead the We: We have a passion for winning and growing as a team. We inspire people to be capable of joint performance. We create an inclusive environment where different thoughts, generations, cultures and experiences are valued and encouraged

At Munich Re, embracing the power of differences is at the core of who we are. We believe diversity fosters resilience and innovation and enables us to act on our purpose of helping humankind act braver and better. We recognise diversity can be multi-dimensional, intersectional, and complex, so we want to build a diverse workforce that includes a wide range of racial, ethnic, sexual, and gender identities; economic and geographic backgrounds; physical abilities; ages; life, school, and career experiences; and political, religious, and personal beliefs. Additionally, we are committed to building an equitable and inclusive work environment where this diversity is celebrated, valued, and has equitable opportunities to succeed.

If you are excited about this role but your experience does not align perfectly with everything outlined, or you don’t meet every requirement, we encourage you to apply anyway. You might just be the candidate we are looking for!

All candidates in consideration for any role can request a reasonable adjustment at any point in our recruitment process. You can request an adjustment by speaking to 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.