About the Client
We are one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world.
About the Role
Are you interested in using data, machine learning, and AI to solve complex business challenges and deliver solutions that create real impact?
As a Senior Data Scientist based in Bratislava, you will take ownership of high-priority analytics initiatives from the initial business problem through proof of concept to production-ready solution. You will work closely with the Advanced Analytics Lead, other team members, IT/D&T colleagues, and senior international business stakeholders.
In this role, you will combine hands-on technical work with business understanding and stakeholder management. You will also contribute to the continued development of our analytics and AI platform, helping us scale successful ideas into robust capabilities used across P&C Re Operations.
About the Team
The Enabling Advanced Analytics team is part of Business Operations and Enablement within P&C Re Operations.
We develop and maintain the analytics landscape supporting Underwriting Operations, Technical Accounting & Claims Operations, Claims Management, In-force Management, and Client Audit.
By combining advanced analytics, automation, and AI-driven solutions, we turn data into actionable business insights. Acting as a bridge between business and IT, we help translate complex operational challenges into practical, scalable solutions with measurable impact.
Responsibilities
- Translate business needs into clear analytical problem statements and practical data-driven solutions.
- Apply statistical modelling, machine learning, data mining, and visualization techniques to generate actionable business insights.
- Deliver end-to-end data science solutions, from exploratory proof of concept to production deployment.
- Work closely with business and IT teams to build robust, scalable, and business-relevant solutions.
- Apply NLP and Generative AI approaches, including LLMs, prompt engineering, and retrieval-augmented generation.
- Identify gaps in available data and recommend improvements to data collection processes.
- Take ownership of projects, manage stakeholder expectations, and deliver innovative solutions with measurable business impact.
- Contribute to the evolution of our analytics and AI platform.
Requirements
- Strong foundation in statistics and probability.
- Strong practical experience with classical machine learning techniques, including:
Linear and logistic regression, Decision trees, random forests, XGBoost, or LightGBM, K-means or hierarchical clustering
- Principal component analysis and other dimensionality-reduction techniques
- Hands-on experience with feature engineering, hyperparameter tuning, and model evaluation.
- Practical experience with NLP and applied Generative AI use cases, such as LLMs, prompt engineering, or RAG.
- Proficiency in Python and Spark or PySpark.
- Experience with common machine learning and AI libraries.
Nice to Have Skills
- Experience with SQL.
- Experience with Power BI.
- Previous exposure to insurance.