Disability RMS

Senior Data Scientist

Job description

FullscopeRMS helps health plans and insurance carriers grow their businesses with our turn-key solutions for group life & disability, absence management, supplement health and medical stop-loss products.

We are a subsidiary of Sun Life, a leading provider of group insurance benefits in the U.S.. FullscopeRMS also provides group life and disability plans to our clients through the third-party administrator Disability Reinsurance Management Services, Inc., often referred to as DRMS.

Job Description:
Role Summary

Analytics & Insights is a multi-disciplinary center of excellence comprised of savvy and intellectually curious professionals who are on a mission to transform how we apply data and analytics to support Sun Life becoming client-centric. An integral part of the Analytics & Insights organization, the Data Science team works closely with various lines of business to build a Smart Assignment engine by leveraging big data and AI/Machine Learning algorithms!

Flexibility and an entrepreneurial mindset are critical in this role, as part of your responsibility will be to build quick PoCs in an imperfect way to perfectly test & validate ideas.

What will you do?

Design and develop AI/Machine Learning models for business operations (Leads Assignment):

With access to enormous open source, third party and Sunlife data, you would be connecting different data sets and testing different AI algorithms to examine their business value. Once the value is proven, the model needs to be deployed and monitored in our production environment

Research new algorithms, document them, and share your findings with the team:

Data science is a fast-evolving field, every day there is a new algorithm out there that we can use and/or monitor them for future use.

Formally apply statistical/scientific rigors to the problems at hand:

As much as we like our gut feelings but for a business to succeed, we need to make sure our solutions are scientifically correct.

Share what you see in the data as a story:
Data on its own can be a bit dull, so we need to make it colorful by connecting the dots and telling a compelling story.

Analyze data to support model development and to identify potential areas for improvement:

Data analysis could be about existing challenges, but it may also help identify areas for improvement and bring them to surface to get resolved – We need both!

Work with the team to document data models, architecture, algorithms:

we work in an Agile environment, but it is not equivalent to no documentation.

What will you need to succeed?

Minimum of master's degree in Statistics, Software Engineering, Mathematics, Econometrics, Physic or equivalent. PhD degree preferred.

3 + years of programming experience Python or R

Go-getter with agile mind set

Demonstrated data transformation & manipulation experience.

Deep understanding of machine learning including and supervised and unsupervised models

Thirst for learning new methodologies and models

Detail oriented but do not get lost there!

Working experience in

Big data platforms

Agile framework

AWS services including SageMaker

Structured vs. Unstructured data

Insurance and finance services industry preferred

What’s in it for you?

Competitive salary and bonus structure influenced by market range data

20 days vacation per year and an innovative sabbatical program

Being part of our Analytics community, where we share best practices and broaden skill-sets

A friendly, collaborative and inclusive culture

Flexible Benefits from the day you join to meet the needs of you and your family

Pension, stock and savings programs to help build and enhance your future financial security

Fitness and wellness programs that help you balance work and life and enjoy a healthier lifestyle

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Job Category:
Advanced Analytics

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