Data and Analytics Specialist (hybrid)

Informácie o pozícii

O tíme

The Enabling Advanced Analytics team is part of Business Operations and Enablement within P&C Re Operations. The team is responsible for developing and maintaining the P&C Re Operations analytics landscape, supporting functions such as Underwriting Operations, Technical Accounting & Claims Operations, Claims Management, In-force Management, and Client Audit.

We generate actionable business insights by applying advanced analytics, automation, and AI-driven solutions, and act as a bridge between business and IT.

O úlohe

You will independently own and deliver complex analytics initiatives end-to-end, contribute to the evolution of our analytics and AI platform, and help scale solutions from exploratory PoCs to robust, production-ready capabilities with measurable business impact.

Zodpovednosti

• Translate business needs into well-defined analytical problem statements and develop data-driven solutions.
• Apply statistical, algorithmic, data mining, and visualization techniques to generate business insights.
• Deliver end-to-end data science solutions, from PoC development to production deployment, working closely with business and IT team.
• Identify data gaps and propose improvements to the data collection processes.
• Take ownership of projects, manage stakeholders effectively, and deliver innovative solutions.

Požiadavky

• University education (Bachelor's degree)
• English - Upper intermediate (B2)

Technické znalosti

• Strong foundation in statistics and probability.
• Strong practical expertise in classical machine learning techniques, such as parametric algorithms (linear/logistic regression), ensemble methods (decision trees, random forests, XGBoost/LightGBM), clustering (k-means, hierarchical clustering), and dimensionality reduction (PCA), with experience in feature engineering, hyperparameter tuning, and model evaluation.
• Hands-on experience with NLP and applied Generative AI use cases (e.g., LLMs, prompt engineering, RAG).
• Proficiency in Python and Spark (PySpark); experience with common ML/AI libraries.
• Preferred: SQL, Python, Power BI; insurance/reinsurance domain exposure.

Mäkké zručnosti

• Clear and concise communicator (written and verbal), able to tailor communication to technical and non-technical audiences.
• Strong problem-solver with a consulting mindset and the ability to work effectively with ambiguity.