Senior Data Scientist (Health)

at  Sun Life

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.

UNIQUE REQUIREMENTS

• The candidate selected for this role is required to have special clearance from the Royal Canadian Mounted Police.
• To see if you are eligible for this clearance, please review the information on Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

ROLE SUMMARY:

Sun Life Health is a leading Health and Benefits provider in Canada, offering Canadians comprehensive group benefits and a portfolio of digital health products. We are a passionate group who like to take on big challenges in a supportive environment, grounded in our purpose of helping Canadians achieve lifetime financial security and live healthier lives.
We have an opportunity to use data to empower Canadians to take control of their health by personalizing health journeys, predicting health outcomes, preventing disease progression, and generating insights and research in partnership with the Canadian health ecosystem.
As a core member of the Health Data Science team, reporting to Director, Health Data Science and Analytics, you will engage with Sun Life Health stakeholders to translate clinical and business goals and questions into analytical projects to generate health insights to drive population and individual health outcomes. Ideal candidate for this role brings has an entrepreneurial spirit to maximize the impact of our data and comes with a solid foundation in quantitative methods for predictive analytics (incl. statistics and machine learning) as applied to health, and experience in data engineering and establishing data pipelines for analytics.
The successful candidate will work in a fast-paced, dynamic, and fun environment with a focus on further maturing our health data and data science capabilities and developing and implementing our health analytics strategy and initiatives.

WHAT WILL YOU DO?

• Work with Sun Life Health product and solutions teams to understand the drivers of engagement and effectiveness of our digital health solutions to optimize their design
• Design, develop and operationalize reusable data pipelines and analytics products, in partnership with data engineers and product teams
• Leveraging data pipelines effectively to develop analyses and validation methodologies for generating insights and predictions
• Work in cross functional teams to generate clinical and behavioural insights, and deploy predictive AI/ML solutions.
• Scope, structure and lead analytics and data science projects balancing the business needs with data, technical and methodological constraints.
• Develop and implement health impact measurement and prediction approaches for Sun Life health to continuously drive improvements in and the optimal targeting of health solutions.
• Make recommendations with effective presentations of findings at multiple levels of stakeholders.
• Communicating plans, progress, results and recommendations for your projects
• Be an active contributing member to the analytics community to help foster and grow the data science capabilities at Sun Life