Sun Life

Senior Data Scientist (Health)

Job description

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.

Job Description:

Role Summary

To support the vision of helping Canadians live healthier lives, Sun Life Health brings together Sun Life’s Group Benefits and Health Ecosystem businesses, including Lumino Health (an innovative platform launched in 2018). By uniting these two groups, Sun Life Health can deliver on transformative health solutions for both Clients and Canadians. If you’re passionate about improving health for Canadians, and like to take on big challenges in a supportive environment, the Data Science & Analytics (DSA) team in Sun Life Health is the right fit.

The DSA team is responsible for:
  • Being the analytics translators to identify and deliver high-impact data science use cases
  • Building dashboards and reports to monitor progress and help extract valuable insights from vast amounts of data
  • Partnering with other Analytics/IT groups to leverage expertise of Data Engineers/Developers to explore and solve complex business problems
  • Supporting various teams within Sun Life Health to leverage best practices associated with data management and develop processes that support data driven decision making

The Senior Data Scientist’s primary focus is to collaborate closely with the health product and strategy team to launch and test new ideas and solutions to generate innovation within Sun Life’s Health Ecosystem, and to identify data science use cases, create the project execution plan and to drive the project through its life cycle. As part of this life cycle, you will create/maintain data models, provide expertise in data interpretation to support strategic decision making, and leverage analytical skills to highlight trends and insights from data. You will also be responsible for feasibility study of use cases for production at scale and automation.

What Will You Do?
  • Identify potential data science/machine learning opportunities, create and execute end-to-end plan for implementation and delivery
    • Work closely with health product and strategy team to define use case and scope
    • Identify appropriate data sources relevant to the modeling application
    • Create data pipeline for extracting the data into AWS S3
    • Perform data preprocessing to ensure data quality
    • Apply feature engineering principles to create feature space
    • Create labels if known and appropriate to the problem at hand
    • Apply machine learning models to identify model with best performance
    • Perform cross validation and hyper parameter tuning to optimize model performance
    • Prepare model for deployment
    • Monitor deployed model for data and model drift
  • Participate in the technical design, development, and testing of models/analysis and in the creation of user documentation and processes
  • Create and maintain ETL processes and automated dashboards that can be leveraged to find insights
  • Develop and present reporting solutions to key stakeholders and partners
  • Learn about business processes to analyze, interpret, and advise managers on analytical findings
  • Collaborate with stakeholders to ensure effective use of reporting and analysis, and provide support if needed
  • Understand and incorporate technology best practices with a primary focus on Tableau and Python
  • Diligently perform quality assurance and risk assessment guidelines to minimize operational, reputation, and legal risk

What Do You Need To Succeed?
  • Coding experience preferably in Python (minimum 3 years)
  • Experience with developing machine learning, statistical and optimization models and creating/maintaining visualizations and dashboards in Tableau (minimum 2 years)
  • Experience in healthcare and familiarity with health data (1 year)
  • Familiar with data science project life cycle
  • Technical mindset with a degree in Computer Science, Statistics, Mathematics, Engineering, or other data science related fields, and 3-5 years of relevant experience. A graduate degree would be an asset, a combination of education and work experience will also be considered.
  • Strong problem solving and analytical skills
  • Demonstrated ability to produce meaningful results from data
  • Proven experience consolidating and analyzing data sources
  • Excellent written and verbal communication skills with experience in relaying complex concepts to non-technical users
  • Comfortable learning new applications quickly with minimal direction
  • Proven ability to work collaboratively within a cross functional team environment
  • Ability to succeed in a dynamic, fast-paced environment, and quickly find alternative solutions to business and data challenges
  • Attention to detail and in-depth planning, organizational and time management skills
  • Experience working with relational databases and creating data models with efficient design
  • Experience with AWS SageMaker would be an asset.

Unique Requirements
  • The candidate selected for this role is required to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct min. 5 year history checks)
  • To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (

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
  • Great Place to Work® Certified in Canada and the US - 2022
  • Great Place to Work® award for Best Workplaces for #HybridWork - 2022
  • Flex hours and Flexible hybrid work model including in-country work-from-home if you prefer.
  • A friendly, collaborative and inclusive culture
  • Being part of our Analytics community, where we share best practices and broaden skill-sets
  • 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

The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to

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.

We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

Salary Range:

74,100/74 100 - 120,800/120 800

Job Category:

Advanced Analytics

Posting End Date:


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