Data and Analytics Specialist

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.

About the Role 

Are you interested in using data, machine learning, and AI to solve complex business challenges and deliver solutions that create real impact?

As a Senior Data Scientist based in Bratislava, you will take ownership of high-priority analytics initiatives from the initial business problem through proof of concept to production-ready solution. You will work closely with the Advanced Analytics Lead, other team members, IT/D&T colleagues, and senior international business stakeholders.

In this role, you will combine hands-on technical work with business understanding and stakeholder management. You will also contribute to the continued development of our analytics and AI platform, helping us scale successful ideas into robust capabilities used across P&C Re Operations.

Your key responsibilities

• Translate business needs into clear analytical problem statements and practical data-driven solutions.
• Apply statistical modelling, machine learning, data mining, and visualization techniques to generate actionable business insights.
• Deliver end-to-end data science solutions, from exploratory proof of concept to production deployment.
• Work closely with business and IT teams to build robust, scalable, and business-relevant solutions.
• Apply NLP and Generative AI approaches, including LLMs, prompt engineering, and retrieval-augmented generation.
• Identify gaps in available data and recommend improvements to data collection processes.
• Take ownership of projects, manage stakeholder expectations, and deliver innovative solutions with measurable business impact.
• Contribute to the evolution of our analytics and AI platform.

 

About You

You are a hands-on data science professional who can connect technical possibilities with real business needs. You are comfortable taking ownership, working through ambiguity, and explaining complex topics to both technical and non-technical audiences.

Must-have technical skills

• Strong foundation in statistics and probability.
• Strong practical experience with classical machine learning techniques, including:
  • Linear and logistic regression
  • Decision trees, random forests, XGBoost, or LightGBM
  • K-means or hierarchical clustering
  • Principal component analysis and other dimensionality-reduction techniques
• Hands-on experience with feature engineering, hyperparameter tuning, and model evaluation.
• Practical experience with NLP and applied Generative AI use cases, such as LLMs, prompt engineering, or RAG.
• Proficiency in Python and Spark or PySpark.
• Experience with common machine learning and AI libraries.
  
  

Nice to have

• Experience with SQL.
• Experience with Power BI.
• Previous exposure to insurance or reinsurance.

For Slovakia the base salary range for this position is between [EUR 2,400] and [EUR 4,100] 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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