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Machine Learning Engineer - North American Integrated Analytics Team

In keeping with our global position as in industry leader and innovator, Munich Re is driving transformative change in the life insurance industry through data science.  The North American Integrated Analytics Team is looking for a Machine Learning Engineer for their Toronto or New York office.

 

Location
Toronto , Canada

 

As a Machine Learning Engineer, you will apply statistical techniques and machine learning to build solutions to core challenges in the life insurance industry. You will be immersed in real-time business problems while engaged in a collaborative approach to delivering world-class, innovative solutions for our North American operations and clients. We see the use of data as instrumental in making it easier for people to buy life insurance and to expand the number of people insured.

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The successful candidate will demonstrate a natural desire to provide exceptional client service through his/her energy, enthusiasm, and initiative.

In addition, we are looking for the following qualifications:

About us

Munich Re is one of the world’s leading reinsurance companies with approximately 45,000 employees in over 50 locations around the globe. As an industry leader, we provide a unique opportunity to be part of a global success story. We offer our employees a diverse and challenging work environment which champions high performance, professional development, innovation and passion, and rewards top performers with a highly competitive total rewards package.

 

Munich Re Canada is committed to providing a work environment that is inclusive and free of employment barriers and discrimination.  Accommodations will be made for qualified applicants with a disability throughout the recruitment process.  If you receive a request for an interview and you have a disability which will require an accommodation to support your participation, please consult with Human Resources or contact AODARequestHR@munichre.ca as soon as practical so that suitable accommodations can be arranged.