Claims Data Scientist (m/f/d)*

Munich Re; München; Hybrid; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading reinsurance company seeks a data-driven professional to join their analytics sub-team. The role focuses on AI use cases, analyzing unstructured data, and developing machine learning models. Candidates should have a strong background in data science, excellent communication skills, and experience with Azure and Python. This position offers opportunities for growth and collaboration in an agile environment, contributing to innovative claims solutions.

Leistungen

Diversity, Equity & Inclusion

Continuous Learning

Career Mobility

Competitive salary

Retirement provision

Work-life balance

Health management

Hybrid working

Qualifikationen

• Experience with supervised and unsupervised text mining and NLP methods.
• Proficiency in Python, Spark, and SQL.
• Excellent written and spoken German and English.

Aufgaben

• Analyze and extract information from unstructured documents.
• Develop AI and GenAI-supported use cases.
• Collaborate with operational colleagues to generate insights.

Kenntnisse

Data Analysis

NLP

Team Collaboration

Agile Methodologies

Python

SQL

Azure

GIT

Ausbildung

University degree in data science

University degree in computer science

University degree in computational linguistics

University degree in statistics

Tools

Azure Databricks

Azure Storage

Azure Search

Jobbeschreibung

Within the central division Claims, comprising all non-life claims operations globally, our department drives digitalization as a crucial enabler of our Claims Ambition2025+. The team is responsible for defining and executing our Claims systems, data, reporting, and analytics/AI strategy.

We aim to provide data-driven claims insights to all Underwriting and Client Management stakeholders for our joint business success in the non-life Reinsurance segment, in close collaboration with our central Analytics, Underwriting, and Claims business units.

The advertised position within the analytics sub-team focuses on realizing AI use cases, with a strong emphasis on unstructured data. This includes retraining and enhancing productive machine learning models, developing new AI solutions and PoCs with internal and external data scientists, and integrating GenAI solutions and prompt engineering into operational processes.

Your Job

• Contribute to Munich Re-wide data strategy initiatives by developing a long-term pipeline of AI and GenAI-supported use cases.
• Analyze, structure, and extract information from unstructured documents using predictive and generative methods.
• Perform data analysis to discover patterns, visualize and summarize data, assess quality, and identify anomalies.
• Contribute to the processing pipeline of unstructured documents and data.
• Collaborate closely with operational colleagues to discuss insights and generate ideas for improvement.
• Take ownership and drive analytic topics in agile project teams to support the business and generate insights.

Your Profile

• University degree in data science, computer science, computational linguistics, statistics, or a related field.
• Experience with supervised and unsupervised text mining and NLP methods, including preprocessing pipelines for unstructured data.
• Practical experience in handling heterogeneous and complex data, with a motivation to understand underlying business impacts.
• Broad knowledge of analytical and statistical methods, with practical application and a desire for continuous improvement.
• Experience with Azure Cloud components, especially Databricks (including Delta tables and Unity Catalog), Azure Storage, Azure Search.
• Proficiency in Python, Spark, and SQL.
• Experience with explainable AI, responsible AI, and AI ethics, especially regarding the EU AI Act, is a plus.
• Team-oriented, especially in agile environments, with experience using GIT or similar version control tools.
• Ability to collaborate effectively across departments and levels of seniority.
• High motivation, responsibility, and independence in work.
• Excellent written and spoken German and English, with the ability to explain complex problems to diverse audiences.
• Experience in (re)insurance, particularly in Claims or Underwriting, is advantageous.
• Experience as a Product Owner or Project Manager is a plus.

Application Instructions

Please apply through our online portal, uploading your CV, academic references, school certificates, graduation certificates, and transcripts. If available, include reference letters from previous employers or other qualifications. We recommend a cover letter explaining why this position and Munich Re interest you.

About us

As the world's leading reinsurance company with over 11,000 employees across more than 50 locations, Munich Re is transforming how we think about insurance. We turn uncertainty into manageable risk, enabling societal progress on issues like climate change, major construction projects, medical risk assessment, and space travel.

We foster a culture of multi-skilled teams daring to innovate and create for our clients, embracing diversity, continuous learning, and career mobility.

Our employee benefits include:

• Diversity, Equity & Inclusion: We value differences, fostering innovation and resilience.
• Continuous Learning: Essential for growth and skill development.
• Career Mobility: Opportunities for global and regional career advancement.

Rewards & Recognition

• Competitive salary: Compensation reflecting your commitment.
• Retirement provision: Advanced pension solutions.
• Work-life balance: Supporting family and personal life.
• Health management: Prioritizing your physical and mental health.
• Hybrid working: Flexible work arrangements, including occasional work abroad.

* Munich Re is committed to fairness and equal opportunities. Severely disabled candidates will be prioritized if equally qualified.