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About the Role

As an integral part of the Data and Analytics COE, the Data Science COE supports Canadian business units in leveraging data and analytics to deliver business value. The Senior 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, and/or GenAI architecture suitable for the business problem.
Develop ML/data science products, including GenAI applications, in cross-functional teams.
Apply best-in-breed data science techniques including descriptive, predictive, and machine learning methods from design to implementation.
Focus on feature engineering, model training, model evaluation, and prompt engineering for LLMs.
Design, develop, and deploy GenAI solutions including AI agents, chatbots, and autonomous systems.
Research and pilot the latest GenAI technologies, RAG techniques, and agentic frameworks.
Implement AI bots/agents with advanced reasoning capabilities and tool use patterns.
Work with vector databases and embedding models to build intelligent information retrieval systems.
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, making business recommendations with effective presentations of findings.
Champion continuous improvement and foster innovation within the analytics community.

Requirements

Bachelor's degree in Computer Science, Statistics, Mathematics, or related field, or equivalent experience.
5+ years of experience in developing and implementing data science techniques.
Proficient in Python for data science and GenAI application development.
Experience with writing complex SQL and PySpark queries to extract and integrate data from multiple database sources.
Proficiency in machine learning including supervised and unsupervised models.
Demonstrated experience in data transformation, data manipulation, and working with structured vs. unstructured data.
Strong understanding of APIs, microservices architecture, and cloud-native development.
Hands-on expertise with GenAI frameworks and LLM APIs with experience developing AI bots/agents with reasoning and tool-use capabilities.
Strong understanding of RAG techniques, prompt engineering, and fine-tuning methodologies and familiarity with vector databases and embedding models.
Experience with chatbot development concepts and conversational AI design.
Exceptional communication skills to articulate complex technical concepts to both technical and non-technical stakeholders.
Effective and concise oral and written storytelling and insights communication skills.
Ability to work on multiple projects in parallel while managing constantly changing deadlines and priorities.
Proven ability to mentor and guide junior data scientists and data engineers.
Strong problem-solving abilities and analytical skills with keen attention to detail.
Experience with AWS services including SageMaker, Lambda, Bedrock, and other AI/ML services.
Experience with data warehousing, pipelines, and big data technologies such as AWS Glue for ETL, Glue Catalog, Glue Data Quality, and AWS Step Functions.
Reliability Status Clearance is required.
Must be able to satisfactorily complete applicable background checks prior to the start date and during employment.

Skills

Python
Data Science
GenAI
Machine Learning
SQL
PySpark
APIs
Microservices Architecture
Cloud-Native Development
GenAI Frameworks
LLM APIs
RAG Techniques
Prompt Engineering
Fine-tuning Methodologies
Vector Databases
Embedding Models
Chatbot Development
Conversational AI Design
Problem-Solving
Analytical Skills
AWS Services
Data Warehousing
ETL

Location

Canada

Work Type

Hybrid

Experience Level

Senior
5+ years

Education Level

Bachelor's degree in Computer Science, Statistics, Mathematics, or related field, or equivalent experience

Salary/Compensations

90,000 - 140,000

Benefits

Recognized as a 2026 Best Workplaces in Canada by Great Place to Work® Canada.
Recognized by Excellence Canada with their top-level certification, the Canada Order of Excellence for Mental Health at Work®.
Wellness programs that support mental, physical, and financial health.
Opportunity to move along a variety of career paths with amazing networking potential.

About the Company

Sun Life is driven by its Purpose: helping Clients achieve lifetime financial security and live healthier lives.
Values: caring, authentic, bold, inspiring, and impactful.
A diverse workforce with wide perspectives and creative ideas benefits our Clients, the communities where we operate and all of us as colleagues.

Equal Opportunity

Diversity and inclusion have always been at the core of our values at Sun Life.
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.