Data Scientist * in München bei Munich Re

Data Scientist (m/f/d)* in München bei Munich Re

Munich Re

Data Scientist (m/f/d)*

Company
Munich Re
Location
Munich , Germany

The Integrated Analytics team is part of the Munich Re Life & Health department based in Munich, serving as a regional analytics center (RAC) for Europe and Latin Americas. The team is responsible for data and analytics strategy and systems’ development, biometrics, data and knowledge modelling, and advanced actuarial analytics topics for more than 50 markets, for 500+ cedents, and 1,500+ active reinsurance contracts. We strategically invest in scalable, easy-to-use data and knowledge technologies to create and operationalize high quality products and services using structured and unstructured data, serving both internal and external clients. We believe that better data and advanced analytics can strengthen our reinsurance core and service business and will be the foundation for the business models of tomorrow.

Join our team of industry experts and contribute your data analytics expertise to make a significant impact on the life and health reinsurance sector. Your data analytics expertise will be instrumental in assisting our clients in the life and health (re)insurance industry to make data-driven decisions, enhance risk management practices, and improve overall operational efficiency.

YOUR JOB

Create and maintain predictive models and data-driven solutions for both internal and external stakeholders, enhancing the entire (re)insurance value chain.
Work on data-based products and services, utilizing advanced analytics, natural language processing, knowledge graphs, and statistical methods.
Conduct analyses related to disability, mortality, and other lines of business to identify trends, patterns, and emerging risks to support pricing, reserving, and underwriting decisions.
Visualize and present derived results to internal and external stakeholders
Collaborate with cross-functional and cross-regional teams to promote a data-driven decision-making culture.
Contribute to projects that extend systems and tools, fostering innovation within the industry.
Support the establishment and maintenance of data and analysis governance frameworks, policies, and procedures to ensure data accuracy and compliance.

YOUR PROFILE

Master's degree or Ph.D. in a relevant field such as Computer Science, Statistics, Economics or Applied Mathematics.
Proficiency in coding, particularly in Python (and R) using source control (git)
Minimum of 2 years of practical experience in statistical modelling, machine learning, text mining and data visualization tools
Experience with the following is a plus: Azure components, Databricks, graph analytics & OWL-based ontology modelling
Previous experience in life or health insurance, direct and/or reinsurance is a plus
Ability to work on various projects at one time in a structured and independent way
Excellent communication and interpersonal skills to effectively collaborate with clients and team members.
Highly motivated, proactive and innovative mindset, with a passion for leveraging data and analytics to drive business value.
Very good written and spoken German and English

About us

As the world's leading reinsurance company with more than 11,000 employees at over 50 locations, Munich Re introduces a paradigm shift in the way you think about insurance. By turning uncertainty into a manageable risk we enable fundamental change. Join us working on topics today that will concern society tomorrow, whether that be climate change, major construction projects, medical risk assessment or even space travel.

Together we embrace a culture where multiskilled teams dare to think big. We create the new and the different for our clients and cultivate innovation.

Sounds like you? Push boundaries with us and be part of Munich Re.

Our employees are our greatest strength. That’s why we offer them a wide range of benefits. You can find some examples below.

Unlock your potential

Diversity, Equity & Inclusion: we embrace the power of differences and are convinced that diversity fosters innovation and resilience and enables us to act braver and better.
Continuous Learning: we believe that continuous learning is a key differentiator and critical for building new skills and accelerating growth.
Career Mobility: we actively support career mobility, and our strong global and regional presence offers a wealth of career growth opportunities for you.

Rewards & Recognition