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Bratislava, SK

Data Scientist


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.

At Swiss Re we combine experience with creative thinking and cutting-edge expertise to create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 13,000 employees across the world.

We offer a flexible working environment where curious and adaptable people thrive. Are you interested in joining us?


About the Role


We are seeking a highly qualified data scientist passionate for technology and with excellent digital savviness to join our multinational People Analytics team. You will be contributing to Human Resources by applying your statistical and machine learning skills and driving data science capabilities and project within the team.


Main responsibilities:


  • Use state of the art data science techniques, platforms and tools to drive and deliver projects across business units

  • Promote advanced analytics knowledge, skills and services through compelling presentations internally and externally

  • Collaborate across regions and teams with other data science experts and internal/external project team members solving exciting and complex insurance business challenges from an employee data driven perspective


If you have proactive and curious attitude, backed up by strong technical knowledge and desire to learn new technologies, our team will provide you space for development as well as collaboration, so we can together increase business satisfaction.


About the Team


We are People Analytics team operating across the globe. To follow trends in HR, we are continuously improving to become more agile and achieve a higher level of operational excellence and efficiency. Four years ago, we started the exciting journey of transforming our capabilities to address the current challenges, but also to be future-ready.


About You


You have proven experience analysing employee related data, have gained an education Computer Science, Applied mathematics, Statistics or other relevant studies.


  • Expert-level know-how in machine learning and predictive modeling. You successfully implemented solutions using statistical computing languages, preferably R and/or Python.

  • Proficient in SQL, Python/R, other languages and systems can be a plus.

  • Previous experience in collaboration with business leaders and various business functions to define problem statements and solve them with sophisticated data driven solutions.

  • Proactive approach with "CAN DO" attitude, willingness to learn new technologies and dedicatedly keep yourself up to date about the latest developments in AI and data science in particular for employee related topics.

  • You are ambitious, stress resistant and a results-oriented problem solver.

  • You have fluent English (written & oral).


Minimum base salary for this job from 1700 EUR gross/month/full time. Our offer to you may be higher based on your skills and experience and will include additional rewards and benefits. 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.

Reference Code: 100977