# Data and Analytics Associate at Swiss Re

Swiss Re is hiring a Data and Analytics Associate in Bratislava, Slovakia. Level rates it Little AI ●○○○; you can [apply on Swiss Re](https://jobsbylevel.com/go/9df6b336-52e7-4f32-8673-631bba4e9a30?utm_medium=ai-agent).

AI Level 1, AI centrality 15 out of 100. Bratislava.

## Details

- Company: [Swiss Re](https://jobsbylevel.com/companies/swiss-re)
- AI level: AI Level 1 (score 15 out of 100)
- Location: Bratislava
- Posted: October 11, 2026
- Apply: https://jobsbylevel.com/go/9df6b336-52e7-4f32-8673-631bba4e9a30?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=data-and-analytics-associate-at-swiss-re-d7bbf8

## Prepare for this job

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## Description

About The Role Are you an early-career data professional who wants to turn analytics, machine learning and AI into practical business solutions? Join our team in Bratislava and help solve high-priority business challenges across the global insurance and reinsurance environment. You will work with experienced data and analytics colleagues, IT teams and international business stakeholders, gaining hands-on exposure to the full analytics lifecycle, from exploratory proofs of concept to production-ready solutions. This is an opportunity to strengthen your technical skills, deepen your business understanding and contribute to data-driven solutions with measurable impact. 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. Underwriting Operations Technical Accounting and Claims Operations Claims Management In-force Management Client Audit Our team uses advanced analytics, automation and AI-driven solutions to generate actionable business insights. We work at the intersection of business and technology, translating operational needs into effective data and analytics solutions. About You Working closely with the Advanced Analytics Lead, senior team members, IT/D&T colleagues and business stakeholders, you will: Translate business needs into clearly defined analytical problems and develop data-driven solutions with guidance from senior team members. Apply statistical analysis, machine learning, data mining and data visualisation techniques to generate meaningful business insights. Contribute to end-to-end data science initiatives, from exploratory analysis and proof-of-concept development to production deployment. Support the continued development of our analytics and AI platform. Collaborate with business and IT teams to build practical solutions with measurable business impact. Identify data gaps and recommend improvements to data collection processes. Take ownership of your assigned tasks and deliverables. Contribute ideas and work collaboratively with colleagues and stakeholders to develop innovative solutions. You do not need to be an expert in everything from day one. We are looking for someone who is curious, analytical and motivated to learn. You are likely to succeed in this role if you: Communicate clearly and concisely, both verbally and in writing. Can explain technical topics to both technical and non-technical audiences. Enjoy solving complex problems and approaching challenges with a consulting mindset. Are comfortable working with ambiguity and exploring different ways to reach a solution. Can collaborate effectively in a matrix organisation. Are confident working with and influencing stakeholders, even without formal authority. Take responsibility for your work while remaining open to guidance and feedback. If the opportunity interests you but you do not meet every listed requirement, we still encourage you to apply. Your potential, motivation and transferable experience are also important to us. Essential technical skills A good foundation in statistics and probability. Practical experience with classical machine learning techniques, including: Linear and logistic regression Decision trees, random forests and ensemble methods XGBoost or LightGBM K-means and hierarchical clustering Principal component analysis, or PCA Exposure to feature engineering, hyperparameter tuning and model evaluation. Experience or academic exposure to natural language processing and applied Generative AI use cases, such as

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