Data Scientist
Specializing in spatial statistics and applied AI in insurance and risk modeling.
About
- AI/GenAI lead for insurance with proven claims automation, pricing, and portfolio analytics delivery.
- Experienced in scaling AI across business units and aligning initiatives with senior stakeholders.
- Strong team leader who mentors talent and builds high-performing data science teams.
- PhD in Biostatistics focused on applied machine learning and statistical modeling.
Projects
Claims Processing
Since 2024: Developing a GenAI-driven claims intake pipeline for Swiss Re Corporate Solutions.
Cargo Insurance
2023 - 2024: Designing a risk-based cargo pricing model.
Spatial Real Estate Analysis
2018 - 2020: Research on spatial statistics applied to Swiss real estate markets.
Computational Statistics
2017 - 2021: PhD research on spatial statistics methods, cumulating in the R package varycoef.
Data Science with Swiss Cantonal Bank
2017 - 2021: Machine learning applications for third-party wealth estimation, credit risk assessment, and cross-selling opportunities.
Publications & Talks
Multiple Presentations
Insurance Data Science Conference; 2022, 2024, 2025
Vessel Accumulation Dashboard
Swiss Conference on Data Science, 2023
awarded Best Business Submission
Multiple Publications
For more information, please see my publications on Google Scholar.
Contact
Best way to reach me is via the form below.
E-Mail: contact [at] dambon [dot] me
LinkedIn: linkedin.com/in/jakob-dambon
GitHub: github.com/jakobdambon