Data and Analytics Associate

Location: Bratislava, Slovakia; hybrid work with an expectation of being in the office at least three days per week

Salary: €1,600–€2,600 gross base salary per month, plus performance-based variable compensation

Company

hirify.global provides reinsurance, insurance, and insurance-based risk transfer solutions, using analytics and technology to help manage global risks.

What you will do

• Translate business needs into analytical problem statements and data-driven solutions.
• Apply statistical, algorithmic, data mining, and visualization techniques to generate business insights.
• Contribute to end-to-end data science initiatives from exploratory proofs of concept to production deployment.
• Support the development of analytics and AI platform capabilities.
• Identify data gaps and propose improvements to data collection processes.
• Collaborate with business stakeholders, IT/D&T, and senior analytics team members.

Requirements

• Master’s degree in a quantitative field such as STEM, economics, statistics, or engineering.
• At least two years of hands-on experience building data science solutions.
• Strong foundation in statistics and probability, with practical experience in classical machine learning, feature engineering, hyperparameter tuning, and model evaluation.
• Proficiency in Python and working knowledge of Spark/PySpark and common ML/AI libraries.
• Exposure to NLP and applied Generative AI use cases, including LLMs, prompt engineering, and RAG.
• Ability to work in the Bratislava hybrid model and attend the office at least three days per week.

Nice to have

• SQL and Power BI experience.
• Insurance or reinsurance domain exposure.

Culture & Benefits

• Performance-based variable compensation in addition to base salary.
• Global and location-specific benefits subject to company policies and the employment contract.
• Inclusive workplace focused on equal opportunities, diverse perspectives, and professional development.
• Flexible environment supporting authentic participation and sustainability.
• AI-powered tools may support application review, with final hiring decisions reviewed by people.