Actively Hiring
SU
Data Scientist
Sun Life
Toronto
Skills:
Data Science
Job Description
Job Title: Data Scientist
Company: Sun Life
Job Category: Data Science
Roles & Responsibilities:
When you join Sun Life, you'll work with passionate colleagues and empowering leaders who support your growth and celebrate your contributions, so you can make a meaningful difference in our Clients' lives.
Job Description:
Please note this is a one year contract role.
Role Summary
Within Sun Life, the Data Science Chapter comprises 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 Data and Analytics organization, the Data Science Chapter supports Canadian business units in their journey to leverage data and analytics as a foundational pillar in delivering business value.
Reporting to the Data Science Manager as a Data Scientist you will focus on supporting Canadian business units in accelerating the growth and application of advanced analytics in driving value. The data scientist will leverage practical experience in applying varied data science techniques \& offering advice/inputs to help with the design, development and implementation of analytics use cases.
Sun Life views success in this role in demonstration of these key attributes:
Key Responsibilities:
* Translate business goals into analytical problems; Identify optimal algorithms, statistical techniques, traditional ML suitable for the business problem at hand.
* Work in cross\-functional teams to develop ML/data science products
* Apply best\-in\-breed data science techniques including descriptive, predictive, and machine learning methods from design to implementation
* Focus on feature engineering, model training and model evaluation
* Use AWS services including SageMaker, Lambda and other AI/ML services
* Work with data warehousing, pipelines, and big data technologies such as AWS Glue for ETL, Glue Catalog, Glue Data Quality, and AWS Step Functions.
Technical Leadership \& Collaboration
* Break down broader data science development milestones into actionable goals, activities, and work plans
* Create and maintain technical design artifacts describing application functionality, data models, interfaces, and integrations
* Engage and negotiate with stakeholders, make business recommendations with effective presentations of findings at multiple levels of stakeholders
Champion continuous improvement and foster innovation within the analytics community
*
* Exceptional communication skills to articulate complex technical concepts to both technical and non\-technical audiences
* Effective oral and written storytelling and insights communication abilities
* Proven ability to manage multiple projects simultaneously with changing deadlines and priorities
Strong problem\-solving abilities and analytical skills with keen attention to detail
*
* We’re honoured to be recognized as a 2026 Best Workplaces in Canada by Great Place to Work® Canada.
* We are thrilled to be recognized by* Excellence Canada* with their top\-level certification, the* Canada Order of Excellence for Mental Health at Work®* , for prioritizing employee well\-being, fostering a positive work culture, and achieving excellence in mental health.*
* Wellness programs that support the three pillars of your health – mental, physical, and financial
* The opportunity to move along a variety of career paths with amazing networking potential.
As a hybrid organization, you and your leader use business and Client need to choose where you work, at home or in the office
*
* This role requires Reliability Status Clearance. In addition to a law enforcement inquiry and a credit check, as part of your application, the Government of Canada will ask if you lived or travelled outside of Canada for 6\-consecutive months during the last 5 years, and you must account for all activities during this time. Important: Obtaining Reliability Status Clearance within a reasonable amount of time is a condition required to start employment for this role at Sun Life.
Must be able to satisfactorily complete applicable background checks prior to the start date and during employment, in accordance with Sun Life’s policies and practices.
*
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.
Work Location: Toronto, Canada
Availability: Full time
Requirements
Education \& Experience
* Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Engineering, or related field (or equivalent experience)
* 1\-0 years of experience developing and implementing data science solutions
Technical Skills
* Programming : Proficient in Python for data science and application development
* Data Engineering : Experience writing complex SQL and PySpark queries to extract and integrate data from multiple sources
* Statistical Knowledge : Solid understanding of hypothesis testing, causal inference, and model evaluation metrics
* Cloud Platform : Experience with AWS, particularly SageMaker for training and deploying ML models
* Machine Learning : Proficiency in supervised and unsupervised models
* Data Handling : Demonstrated experience in data transformation, manipulation, and working with structured vs. unstructured data
* Architecture : Strong understanding of APIs, microservices architecture, and cloud\-native development
Preferred Qualifications
Unique Requirements:
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.
We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.
Salary Range:
Key Skills: Data Science
Salary: CAD 70000 - 105000 per yearly