Data Scientist (student role)

Our advanced analytics team of Swiss Re is looking for a student (50%) who is enthusiastic about data science and wants to apply it to real-world problems. We do data science beyond dashboards, since 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 improve the life of farmers in Brazil with image recognition based on satellite data,
- build models to predict life expectancy or predict the CO2 footprint of companies,
- 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.

*We are required by law to disclose basic wage component (minimum salary) for the advertised positions. We carefully consider your professional competencies, qualifications and experience in our compensation package and/or when offering you other positions. Our compensation philosophy is to pay fairly, also considering market situation and the value employees may bring to Swiss Re.

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.