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Milano, IT

Senior 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


Swiss Re is looking for a senior data scientist with proven experience in working with data platform tools and on machine learning/AI model development for innovative products. Python is required but any other language used in model development is encouraged. Experience in time series analysis, computer vision and in motor project is a plus.

The ideal candidate has a strong background in data science model deployment, math, statistics, physics or any other computationally intense fields and working experience in computer science/engineering.


Your daily activities will be:

  • attend Scrum events to coordinate with teammates

  • tutor junior colleagues in data science topics

  • support team lead in developing the team

  • work hands-on with data from telematics and claims solutions

  • discuss with business feature requirements and timeline


About the team


We are seeking a motivated candidate with passion for technology to be a part of Analytics team in Milan that develops innovative solutions in telematics, motor and beyond. The team is top notch and lies in the Product and Technology department in the Property and Casualty Reinsurance business. Activity varies from digital signal processing analysis or more advanced AI modelling on time series to model development on tabular data coming from clients.


About You


  • PhD in scientific fields and 5 or more year of experience

  • BS/MS in scientific/engineering fields and 7 or more years of experience

  • 2 or more years of experience in development of machine learning and AI models

  • Experience in data related projects and data platform implementation

  • Statistical modeling (like R/Matlab)

  • Hands-on experience in implementation, performance tuning and machine learning model deployment

  • Experience with scripting languages (Python and R)

  • Knowledge of data platform tools and framework like Hadoop, Spark etc

  • Strong programming skills (Python)

  • Experience with Azure Services and Azure Machine Learning Services

  • Proficiency in English

  • Good interpersonal and time leadership skills

  • Experience in tutoring junior colleagues

  • Knowledge of Android and iOS app development is a plus


Behavioral Competences


  • Teammate with a ‘can do’ attitude

  • Ability to manage internal and external partners

  • Ability to work in an interdisciplinary and multi-cultural environment

  • Flexibility to traveling-depth knowledge/experience in the Insurance or Reinsurance domains


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: 104333 


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