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Location: 

Armonk, NY, US

 

Data Scientist 


About Swiss Re

The Swiss Re Group 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. It anticipates and manages risk – from natural catastrophes to climate change, from ageing populations to cybercrime. The aim of the Swiss Re Group is to enable society to thrive and progress, creating new opportunities and solutions for its clients. Headquartered in Zurich, Switzerland, where it was founded in 1863, the Swiss Re Group operates through a network of around 80 offices globally. It is organised into three Business Units, each with a distinct strategy and set of objectives contributing to the Group’s overall mission.

 

About Swiss Re

The Swiss Re Group 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. It anticipates and manages risk – from natural catastrophes to climate change, from ageing populations to cybercrime. The aim of the Swiss Re Group is to enable society to thrive and progress, creating new opportunities and solutions for its clients. Headquartered in Zurich, Switzerland, where it was founded in 1863, the Swiss Re Group operates through a network of around 80 offices globally. It is organized into three Business Units, each with a distinct strategy and set of objectives contributing to the Group’s overall mission. 

About the role

We are seeking a highly motivated, experienced data scientist to join a global team of analytics professionals who support the digital transformation of Swiss Re and the insurance industry. You will be primarily based in Armonk with the possibility to occasionally work from other Swiss Re offices (e.g. New York City) and collaborate with stakeholders around the globe.

Your main responsibilities are:

  • Work closely with internal stakeholders and clients to ideate, develop and deploy innovative analytics solutions
  • Develop a deep understanding of the business problem to derive suitable analytics approaches and requirements
  • Build prototypes to validate desirability, viability and feasibility of the proposed approach
  • Validate, interpret and present findings and solutions to both expert and non-expert audiences
  • Support full deployment of analytics solutions into operational environments
  • Continuously monitor relevant industry and technology trends to ensure further development of Swiss Re's analytics capabilities
  • Promote and share digital & smart analytics knowledge, skills and services internally and externally to drive the digital transformation of Swiss Re and the insurance industry

 About the team

The Digital & Smart Analytics (DSA) team supports Swiss Re's business functions and clients in developing state of the art technology solutions leveraging our advanced analytics and data engineering capabilities. DSA works with all business units to implement Swiss Re's tech strategy by generating unique insights, improving operational efficiency and developing new technology driven value propositions. Our integrated global team of analytics consultants, analytics specialists and data engineers enables us to facilitate end-to-end solutions delivery from ideation and prototyping to deployment and run. As Swiss Re's center of competence for smart analytics, DSA further enables the proliferation of advanced data handling capabilities throughout the company.

 

 

 About You

Technical Requirements:

  • Advanced degree (master's degree or PhD) with quantitative background (data science, applied mathematics or statistics, computer science, engineering, econometrics or another related field)
  • 2-4 years of experience in analytics (machine learning, statistics, natural language processing, computer vision, information retrieval) in research and/or corporate environment.
  • Experience in at least one scripting or programming language (e.g. Python, R, Matlab, Perl, Java), proficiency in relational databases and SQL (experience with large data sets and distributed computing is a plus).
  • High level of analytical problem-solving skills and ability to assimilate complex information as well as experience in building and deploying innovative solutions
  • Excellent English language skills, other languages (e.g. German, Spanish, Chinese) are a plus
  • Flexibility to travel

Soft Skills:

  • Team player with strong interpersonal skills and experience of working in cross-functional teams
  • Ability to communicate complex problems with clarity and effectiveness to expert and non-expert audience
  • Ability to initiate and drive projects to completion with minimal guidance
  • Track-record of creative problem solving as well as openness and curiosity to learn

 


Keywords:  
Reference Code: 89070 

 


Nearest Major Market: White Plains
Nearest Secondary Market: New York City