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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. This Senior Data Scientist role focuses on supporting Canadian business units in accelerating the growth and application of advanced analytics to drive 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 GenAI architecture suitable for the business problem.
Work in cross-functional teams to develop ML/data science products, including GenAI applications.
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, make 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 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.
This role requires Reliability Status Clearance.
Must be able to satisfactorily complete applicable background checks prior to the start date and during employment.

Skills

Python
SQL
PySpark
Machine learning
Supervised models
Unsupervised models
Data transformation
Data manipulation
Structured data
Unstructured data
APIs
Microservices architecture
Cloud-native development
GenAI frameworks
LLM APIs
AI bots
AI agents
RAG techniques
Prompt engineering
Fine-tuning methodologies
Vector databases
Embedding models
Chatbot development
Conversational AI design

Location

Canada

Work Type

Contract
Hybrid

Experience Level

Senior
5+ years experience

Education Level

Bachelor's degree in computer science, Statistics, Mathematics, or related field, or equivalent experience

Salary/Compensations

90,000 - 140,000

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.
We are proud to be a hybrid organization that offers our employees the choice and flexibility to work from both the office and virtually based on the needs of the business, our Clients and you.
We may use artificial intelligence to support candidate sourcing, screening, interview scheduling.
We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.