Data and Analytics Associate

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 several key business areas, including:

• 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 large language models, prompt engineering and retrieval-augmented generation.
• Proficiency in Python.
• Working knowledge of Spark or PySpark and commonly used machine learning and AI libraries.

 

Additional skills that would be an advantage

• SQL
• Power BI
• Previous exposure to the insurance or reinsurance industry

For Slovakia the base salary range for this position is between [EUR 1,600] and [EUR 2,600] per month (for a full-time role). The specific salary offered considers: ​

• the requirements, scope, complexity and responsibilities of the role, ​
• the applicant’s own profile including education/qualifications, expertise, specialisation, skills and experience. ​

In addition to your base salary, Swiss Re offers an attractive performance-based variable compensation component, designed to recognise your achievements. Further you will enjoy a variety of global and location specific benefits. ​

Eligibility may vary depending on the terms of Swiss Re policies and your employment contract. ​

About Swiss Re

Swiss Re is 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 15,000 employees across the world.

Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.

If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.

We may use AI-powered tools to support the review and evaluation of applications for this position. These tools provide additional insights to our recruitment teams, but all hiring decisions are carefully reviewed and made by people. To learn more about how we use AI in recruitment and how we handle your personal data, please review our Data Privacy Statement before applying.

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Reference Code: 139081