You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

This role will provide advanced analytics support within the Business Analytics function that applies the power of data with machine learning to improve business outcomes across the Health and Risk Solutions business. This role is expected to work closely with the other functional teams, in particular the Clinical 360, PinnacleCare and Health Capability teams. This position reports to the Associate Director, Data Science within the Health and Risk Solutions business. Responsibilities include helping to develop, monitor and maintain the predictive models to support such use cases as identifying members for our clinical review process, identifying health capability opportunities, and/or proactive outreach for health navigation engagement. Additional responsibilities may include applying machine learning techniques to streamline and automate aspects of these processes, and promoting adoption of analytic solutions deployed.

What will you do?

• Apply data science techniques to solve business problems across a broad range of data analysis functions including predictive analysis, data modeling, visualization, and data profiling.
• Utilize multiple sources of data, including structured and unstructured data, along with broad range of machine learning techniques to improve insights of the models.
• Support the development of new modeling techniques and procedures.
• Develop and maintain high-quality, robust predictive models using advanced analytic techniques.
• Extract and analyze internal and external data sources to help answer key business problems related to risk assessment.

What will be needed to succeed?

• Proficiency with a one or more statistical programming languages, applications and data environments (e.g., Python, SQL, R, Tableau).
• Strong knowledge of data science including conditioning, modeling, and visualization.
• Strong knowledge of the fundamental statistical and AI underpinnings of data science.
• Expertise in data munging, transformation, and featurization.
• Commitment to data compliance, model governance and security protocols.
• Strong business acumen to understand why and how the work we do will impact our business stakeholders.
• Strong communication skills, with an ability to explain technical concepts to a non-technical audience.
• BS/MS in a statistical, mathematical, or technical field (e.g., computer science).
• 2+/0+ years of experience in developing and implementing data science techniques.

What will be nice to have?

• Healthcare Claims data or health insurance experience preferred.

Our Affirmative Action Program affirms our commitment to make reasonable accommodation to the known physical or mental limitation of otherwise-qualified individuals with disabilities or special disabled veterans, unless the accommodation would impose an undue hardship on the operation of our business. Please email recruitingUS@sunlife.com to request an accommodation.

At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.