Data & Analytics Expert (Hybrid)

About the role

The Enabling Advanced Analytics team, part of Business Operations and Enablement within P&C Re Operations, develops and maintains the analytics landscape for functions such as Sales and Origination, Underwriting Operations, Technical Accounting & Claims Operations, Claims Management, In-force Management and Client Audit. It acts as a bridge between business and IT, using advanced analytics, automation and AI-driven solutions. The role is based in Bratislava and works closely with the Advanced Analytics Lead, team members, IT/D&T and senior business stakeholders.

You will independently lead complex analytics initiatives end-to-end, from exploratory PoCs to production-ready capabilities, and provide technical guidance to raise the team's analytics capability.

Key responsibilities

• Translate complex business needs into analytical problem statements, hypotheses and scalable data-driven solutions.
• Lead the design and development of advanced analytics, machine learning, NLP and Generative AI solutions, choosing methods suited to the problem and data.
• Own end-to-end delivery, from data exploration and PoC through validation, production deployment, monitoring and continuous improvement, with business and IT/D&T teams.
• Identify data gaps and quality issues and work with stakeholders to improve data collection and analytical readiness.
• Lead a team of two data scientists/analysts, providing technical leadership, solution reviews, knowledge sharing and mentoring.

Required profile

• Master's degree in a quantitative field (STEM, Economics, Statistics, Engineering or similar).
• At least 6 years of hands-on experience in data science, advanced analytics or machine learning, with complex solutions delivered to business use.
• Strong foundation in statistics, probability, experimental design and analytical problem solving.
• Good communicator who can explain complex concepts to technical and non-technical senior stakeholders.
• Consulting mindset, able to structure ambiguous problems and drive decisions with limited supervision.
• Commitment to talent development and comfort in a matrix organisation.

Required skills

• Classical machine learning: linear/logistic regression, decision trees, random forests, XGBoost/LightGBM, k-means, PCA, feature engineering and model evaluation.
• NLP and Generative AI use cases (LLMs, prompt engineering, RAG).
• Python and PySpark; common ML/AI libraries.
• Preferred: SQL, Power BI, insurance/reinsurance domain exposure.

What we offer

• Base salary in Slovakia of 3,300 to 5,400 EUR per month for a full-time role, adjusted to profile and requirements.
• Performance-based variable compensation.
• Global and location-specific benefits.