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Data Scientist – Client Insights

Sun Life Financial

This is a Contract position in Toronto, ON posted October 1, 2020.

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

Sun Life has launched an ambitious journey to deploy data science as a foundational pillar and strategy across the whole business. Be a part of an exciting and challenging opportunity by becoming part of the analytics community helping to accelerate the growth and application of data science capabilities.  

To be considered for this position, you are required to complete two steps in the application process. You will need to submit an online job application and complete an online assessment.

As a data scientist, client experience insights, you will be part of a large analytics community and will be focused within the Client Experience Office (CXO), supporting the Client Experience team responsible for the design and execution of clear, compelling and caring client journeys, helping clients navigate some of the most important moments of their lives. The data scientist role sits in the client experience insights team which is focused on using data and analytics to understand our clients and how our business can best support them in achieving their goals of lifetime financial security and living healthier lives. This role will primarily be focused on short to medium term special projects, tackling the most pressing business issues using data, analytics and predictive & prescriptive models to problem solve, change decisions and evolve the way we do business.

Sun Life views success in this role in demonstration of these key attributes:

Fierce curiosity. You are drawn to discovering and leveraging new data, techniques and taking on challenging business puzzles. Understanding business. We’ve got a lot of data, but it’s not going to turn itself into insights, and you can’t help with that unless you understand what the numbers mean.    A passion for solving problems. The most successful data analysts don’t just spin data and give numbers, they solve the problem. Technical skills and a thirst for learning. How to wrangle structured data is a must (i.e., SQL) with strong SAS or Python skills needed. The team currently works in SAS (and some SAS work will be required) but the transition to Python is imminent. We’re looking for people who strive to continuously learn and try new techniques.

This is a fixed term position for 14 months and offers flexible benefits and 3 weeks vacation.

What will you do?

  • Be part of a team of data scientists in developing high-quality, robust data science and deep expertise in the field

  • Help tackle key business problems via analytical work, from requirements specification, data gathering, analysis and statistical model building to presentations and adoption

  • Test and apply best in breed data science including descriptive, diagnostic, predictive and prescriptive techniques from the design to implementation with the goal of impacting business

  • Work closely with stakeholders across Sun Life as a subject matter expert in the individual client data, to understand their business problems and how data can be best leveraged to inform decisions

  • Analyze data science trends and disruptions to discover and test new innovative and creative ways to enhance and/or differentiate existing or new IP

  • An active contributing member to the analytics academy to help foster and grow the data science community at Sun Life.

What will be needed to succeed?

  • Expertise and experience of the techniques in modern data science especially as they pertain to business and experimentation

  • Comfortable writing complex SQL queries to extract and integrate data from multiple database sources

  • Problem solving skills to dissect business problems and use data to solve them

  • Strong business acumen to understand why and how the work we do will impact our business stakeholders

  • Proficient in using one or more statistical programming languages (i.e., SAS/Python/R) for data science. Some experience in SAS is preferred and a willingness to use it while Python and R become more established is required

  • BSc/M.S. in a statistical, mathematical, or technical field (i.e., computer science) or equivalent experience

  • 5+ years experience in developing and implementing data science techniques (descriptive, diagnostic, predictive, prescriptive)

What will be nice to have?

  • M.S. or PhD, preferably in a statistical, mathematical, or technical field (i.e., computer science)

  • Experience with deep learning methodologies either in practice or in academia

  • Big Data Technologies: Hadoop, HDFS, Hive, HBase, Storm, Spark, Kafka

  • Past experience in life insurance/wealth management, or other financial services industry (e.g., retail banking, credit card, property and casualty insurance)

What is in it for you?

  • Competitive salary influenced by market range data

  • Entitlement to flexible benefits and 3 weeks vacation

  • A friendly, collaborative and inclusive culture

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

Click on this link:

to complete the online assessment after you submit your application. You will need to register with our partner Career Spark, using the same e-mail address used for your job application. If you complete this assessment before submitting your job application then you must return to this job posting again to complete your online job application by clicking “Apply”.

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

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

Salary Range:

67,400/67 400 – 110,100/110 100

Job Category:

Advanced Analytics

Posting End Date: