About the role & team 

We are the largest data science team of Swiss Re and are looking an enthusiastic Data scientist who is ready for applying data science to real-world problems. We create global data science products made in Bratislava. Our focus is not only on machine learning and statistical modelling, but we also enjoy data engineering and bringing our models into production.  

If you join us, you will be able to participate in a variety of interesting initiatives. For example, you will: 

• Help us analyze complex legal terms in insurance policies using Generative AI,

• Build models to predict life expectancy or predict the CO2 footprint of companies, 

• Support us in better understanding weather related risks for farming in China, 

• Support many other exciting projects in a collaborative environment with colleagues from Swiss Re's international offices. 

We are a highly skilled and diverse team in Bratislava that solves analytics projects around the globe. Our passion to learn is what connects us. We love to learn new skills and will support you to do the same! We reserve time for studying and organize our own upskilling sessions as well. In addition to projects for our clients, we also work on innovation projects which allow us to learn new methodologies and gain fresh experience.

Joining us, you will learn the technologies that are used in modern data science products with a focus on cloud technology and distributed systems, but also gain experience in the application of machine learning to solve complex problems on real data. 

INFORMATION ABOUT THE SELECTION PROCESS 

We are an equal opportunity employer, and we value diversity at our company. Our aim is to live visible and invisible diversity – diversity of age, race, ethnicity, nationality, gender, gender identity, sexual orientation, religious beliefs, physical abilities, personalities and experiences – at all levels and in all functions and regions. We also collaborate in a flexible working environment, providing you with a compelling degree of autonomy to decide how, when and where to carry out your tasks. 

We provide feedback to all candidates via email. If you have not heard back from us, please check your spam folder. 

About You 

Nobody is perfect and meets 100% of requirements. If you, however, meet some of the criteria below and are genuinely curious about the world of data science, we will be happy to meet you. 

In order to be successful in the role, you need to have these technical skills and knowledge: 

• Degree in Computer Science, Applied Mathematics, Statistics, Physics or related quantitative field. We welcome different levels, including graduates

• Knowledge of Python and/or R programming languages

• Knowledge in machine learning, statistical modelling and related technologies

If you also have the following experience and interests, it is a huge plus: 

• Background in software engineering 

• Experience in distributed computing

• Interest in Generative AI and Natural Language Processing

If you don't have some or any of those but are eager to learn them, get in contact with us. 

Thank you for taking the time to read our job advertisement. We look forward to getting to know you! 

The minimum gross monthly base salary for this role is 2300 EUR full time. Our final offer to you will be set up fairly, considering the skills and experience that you bring to the Swiss Re Group.

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 14,000 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.