Claims Data Scientist

Claims Data Scientist

Full-Time 36000 - 60000 ÂŁ / year (est.) No home office possible
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At a Glance

  • Tasks: Analyse claims data and create insightful reports to drive business decisions.
  • Company: Join Great Lakes Insurance, a leader in innovative insurance solutions.
  • Benefits: Enjoy competitive pay, 25 days leave, and fully paid family leave.
  • Why this job: Make a real impact by using data to improve business performance.
  • Qualifications: Strong data analysis skills and proficiency in Excel and Power BI required.
  • Other info: Be part of a diverse team that values innovation and growth.

The predicted salary is between 36000 - 60000 ÂŁ per year.

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

About Great Lakes Insurance SE

As a 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 reports and dashboards.

Core Accountabilities

  • Take ownership of producing accurate and timely reports, Management Information, and analysis to inform business-critical decisions, ensuring that all stakeholders are well-equipped to make informed choices.
  • Conduct in-depth analysis of claims data to identify underperformance, trends, concerns, and themes, providing actionable insights to drive business improvement.
  • Collaborate with the Head of Claims Governance and Reporting to develop and implement effective reporting strategies, ensuring that all reports meet the required standards of quality, accuracy, and timeliness.
  • Provide expert support for various workshops and projects related to system changes, implementation, and enhancements, ensuring seamless integration and minimal disruption to business operations.
  • Be responsible for maintaining the highest standards of data integrity, ensuring that all reports and MI are reliable, accurate, and compliant with regulatory requirements.

Key Responsibilities

As a key member of the team, you will be responsible for ensuring that the Claims Governance & Reporting function operates effectively, efficiently, and in accordance with business objectives. Your expertise, attention to detail, and analytical skills will be essential in driving business growth, identifying areas for improvement, and informing strategic decisions.

  • Data collecting, mapping, analytics and maintaining consistency across all clients’ data as well as making data accessible to internal and external partners.
  • Validating and improving metrics and data quality to ensure calculations are accurate.
  • Creating reports analysing claims portfolios (incl. root cause analysis) in support of internal oversight activities.
  • Managing end-to-end data flow as project manager and acting as a product owner for innovative claims management tools.
  • Creating roadmaps for the life cycle of data projects.
  • Using statistical tools to interpret data sets, detecting trends and patterns that could be valuable for diagnostic and predictive analytics efforts.
  • Assisting with the preparation of loss runs and claims selection for audits and due diligences.
  • Participating in special projects (e.g. conduct risk, consumer duty, KPIs) and ad hoc reporting, as required.

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.

Desired:

  • 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.

Benefits

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 6 months 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.

Claims Data Scientist employer: Munich Re

At Great Lakes Insurance SE, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive. As a Claims Data Scientist, you will benefit from a competitive compensation package, generous leave policies, and exceptional family support, all while working in an environment that values innovation and collaboration. With ample opportunities for professional growth and development, you will be part of a team that is dedicated to making a meaningful impact in the insurance industry.
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Contact Detail:

Munich Re Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Claims Data Scientist

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.

✨Tip Number 2

Prepare for interviews by researching the company and its culture. Understand their values and how they align with your own. This will help you stand out and show that you're genuinely interested in being part of their team.

✨Tip Number 3

Practice your data storytelling skills! Be ready to explain your analysis and insights clearly and concisely. Use examples from your past work to demonstrate how you've made an impact through your data-driven decisions.

✨Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're serious about joining our awesome team at Great Lakes Insurance.

We think you need these skills to ace Claims Data Scientist

Data Analysis
Reporting
Excel
Power BI
Azure DevOps
VBA
DAX
Data Transformation
Dashboard Development
Insurance Knowledge
Problem-Solving Skills
Communication Skills
Organisational Skills
Project Management
SQL

Some tips for your application 🫡

Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Claims Data Scientist role. Highlight your data analysis, reporting skills, and any relevant tools you've used like Excel or Power BI. We want to see how you can contribute to our mission!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about this role and how your background makes you a great fit. Don't forget to mention your understanding of the insurance industry and your analytical prowess.

Showcase Your Projects: If you've worked on any relevant projects, whether in a professional setting or during your studies, make sure to include them. We love seeing practical examples of your data transformation and dashboard development skills!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen to join our team at Great Lakes Insurance!

How to prepare for a job interview at Munich Re

✨Know Your Data Inside Out

As a Claims Data Scientist, you'll be knee-deep in data analysis. Make sure you brush up on your skills with Excel, Power BI, and any statistical tools mentioned in the job description. Be ready to discuss how you've used these tools in past projects and how they can help drive business improvement.

✨Showcase Your Problem-Solving Skills

Prepare examples of how you've tackled complex data challenges in previous roles. Think about specific instances where your analytical skills led to actionable insights or improved reporting processes. This will demonstrate your ability to contribute effectively to the Claims Governance & Reporting Team.

✨Understand the Regulatory Landscape

Familiarise yourself with the FCA/PRA regulatory environment and the Insurance Distribution Directive. Being able to discuss how you ensure compliance in your work will show that you understand the importance of regulatory requirements in the insurance sector.

✨Emphasise Collaboration and Communication

This role involves working closely with various stakeholders. Be prepared to talk about your experience in collaborative projects and how you communicate complex data findings to non-technical audiences. Highlighting your interpersonal skills will show that you're a great fit for their team-oriented culture.

Claims Data Scientist
Munich Re
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