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 data scientist with 2-3 years of experience in working with large datasets and on machine learning/AI model development for innovative products. Python is required but any other language used in model development is welcomed. Experience in time series analysis and in telematics project is a plus. The ideal candidate has a strong background in data science model deployment, math, statistics, physics or any other computationally driven fields and working experience in computer science/engineering.
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.
PhD in scientific fields and 2 or more year of experience
BS/MS in scientific/engineering fields and 5 or more years of experience
2 or more years of relevant experience in development of machine learning and AI models
Experience in data related projects and data platform implementation
Statistical modeling (like R/Matlab/Mathematica)
Hands-on experience in implementation, performance tuning and machine learning model deployment
Experience with scripting languages (Python and R)
Knowledge of big data tools and framework like Hadoop, Spark etc…
Strong programming skills (Python)
Experience with Azure Services and Azure Machine Learning Service
Proficiency in English is mandatory.
Good organizational skills and time management
PhD is a plus
Knowledge of Android and iOS app development is a plus.
Team player with a ‘can do’ attitude
Ability to work in an interdisciplinary and multi-cultural environment
Flexible, independent and proactive working style
Ability to work well under pressure and on multiple and conflicting priorities
Strong dedication to quality and details
Multi-lingual is a plus
Flexibility to traveling-depth knowledge/experience in the Insurance or Reinsurance domains
Please send your application and the CV in English language.
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.
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