Munich RE

Data Scientist, NA Integrated Analytics (2022 New ...

Job description

LOCATION: Toronto, ON

ANTICIPATED START DATE: 2022 (Upon graduation)

NUMBER OF POSITIONS: 2

Location

Toronto
, Canada

Calling all emerging Data Science talent! We’re looking for new/recent graduates who have a passion for data science coupled with a strong desire to be an active contributor in our growing and highly strategic team.

In keeping with our global position as an industry leader and innovator, Munich Re is driving transformative change in the life insurance industry through data science. The role of data scientist 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. 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.

To learn more about the North American Integrated Analytics team, please visit our site: https://www.munichre.com/us-life/en/solutions/integrated-analytics.html

Your job

Responsibilities may include, but will not be limited to the following:

Apply statistical and machine learning techniques to assist with building models for underwriting, pricing, and claims management;

Help us drive innovation, enabling new underwriting paradigms, distribution models, and data management;

Build and implement solutions that enable operational units to improve quality and speed of core processes in order to generate incremental revenue or reduce expense;

Proactively research new ways of modeling data to unlock actionable insights or improve processes;

Collaborate across Munich Re functions and with clients to use analytics to influence business decisions;

Work with existing data science groups at Munich Re and collaborate with internal partners to leverage capabilities in big data technology.

Your profile

First and foremost, you’ll demonstrate a natural desire to provide exceptional client service through your energy, enthusiasm, and initiative.

Specifically, we’re looking for the following qualifications:
Undergraduate or Graduate degree (Master’s, PhD) in Computer Science, Statistics, Data Science/Analytics, Applied Mathematics, Engineering (Physics, Bioinformatics) – or equivalent program offering coursework manipulating large datasets;

Expertise in advanced predictive analytic techniques;

Strong experience working with Python, or R; working knowledge of SQL (familiarity with multiple languages considered an asset);

Demonstrated experience working with analytics through the modeling lifecycle including gathering data, design, model building, testing, implementation, communication, and monitoring;

Excellent communication skills; spoken & written, formal/informal presentation – to effectively interpret and present actionable insights to partners;

Resourceful and able to learn quickly;

A drive to make a difference;

Proven ability to thrive in a dynamic environment.

Preferred (but not required):
Familiarity with cloud computing platforms (ex. AWS, Microsoft Azure);

Familiarity with big data technologies (ex. Apache Spark, Hadoop, etc), natural language processing and deep learning frameworks (ex. Tensorflow, Pytorch);

Previous exposure to insurance or financial services environment, or Actuarial examinations/designation.

Note that this opportunity is open to both graduating students, as well as recent graduates who have obtained their degree within the past year.

About us

Munich Re’s track record as one of the world’s leading reinsurance companies is based on a solid capital foundation, in-depth risk expertise and market know-how. Our data, our technology, and our teams place us in a unique position to lead the change to redefine the nature and impact of reinsurance for the future. We’re investing strategically in our world class talent, offering our employees a diverse and challenging work environment which promotes professional development, innovation, and passion – and rewards high performance.

Please note that only candidates who are selected for interview will be contacted directly.

We thank all candidates for their interest.

Apply now!

Apply for this Job!

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.

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