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About the Role
As an integral part of the Data and Analytics organization, the Data Science Chapter supports Canadian business units in leveraging data and analytics to deliver business value. The Data Scientist will support Canadian business units in accelerating the growth and application of advanced analytics in driving value, leveraging practical experience in applying varied data science techniques and offering advice for the design, development, and implementation of analytics use cases.
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.
- 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.
Requirements
- Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Engineering, or related field (or equivalent experience).
- 1-2 years of experience developing and implementing data science solutions.
- Proficient in Python for data science and application development.
- Experience writing complex SQL and PySpark queries to extract and integrate data from multiple sources.
- Solid understanding of hypothesis testing, causal inference, and model evaluation metrics.
- Experience with AWS, particularly SageMaker for training and deploying ML models.
- Proficiency in supervised and unsupervised models.
- Demonstrated experience in data transformation, manipulation, and working with structured vs. unstructured data.
- Strong understanding of APIs, microservices architecture, and cloud-native development.
- 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.
- Hands-on experience with GenAI frameworks and LLM APIs, including developing AI bots/agents with reasoning and tool-use capabilities.
- Deep understanding of RAG techniques, prompt engineering, and fine-tuning methodologies.
- Familiarity with vector databases and embedding models.
- Experience with containerization (Docker) and CI/CD concepts.
- Reliability Status Clearance is required.
- 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.
Skills
- Python
- SQL
- PySpark
- AWS SageMaker
- AWS Lambda
- AWS Glue
- AWS Step Functions
- Machine Learning
- Data Warehousing
- ETL
- APIs
- Microservices Architecture
- Cloud-Native Development
- GenAI
- LLM APIs
- RAG
- Prompt Engineering
- Fine-tuning
- Vector Databases
- Embedding Models
- Docker
- CI/CD
Location
- Canada
Work Type
- Hybrid
Experience Level
- 1-2 years
Education Level
- Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Engineering, or related field (or equivalent experience)
Salary/Compensations
- 65,000 - 105,000
Benefits
- 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.
About the Company
- At Sun Life, we're driven by our Purpose: helping our Clients achieve lifetime financial security and live healthier lives.
- Our values shape how we work: caring, authentic, bold, inspiring, and impactful.
- 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.
Equal Opportunity
- 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 thebrightside@sunlife.com.