Loading...
Share this Job
Location: 

Armonk, NY, US Kansas City, MO, US Chicago, IL, US Fort Wayne, IN, US

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 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 Advanced Analytics CoE (AA CoE) 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. AA CoE 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, AA CoE 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 advanced analytics (machine learning, statistics, natural language processing, computer vision, geospatial science) 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, Spanish is a plus
  • Flexibility to travel

Soft Skills:

  • Team player with strong interpersonal skills and experience of working in cross-functional teams

 

Swiss Re is an equal opportunity employer. It is our practice to recruit, hire and promote without regard to race, religion, color, national origin, sex, disability, age, pregnancy, sexual orientations, marital status, military status, or any other characteristic protected by law. Decisions on employment are solely based on an individual's qualifications for the position being filled.

During the recruitment process, reasonable accommodations for disabilities are available upon request. If contacted for an interview, please inform the Recruiter/HR Professional of the accommodation needed.

 

Keywords:  
Reference Code: 101885 

 


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

Job Segment: HR, Research, Human Resources