Senior Data Scientist

Sun Life

. Translate business goals into analytical problems .

Posted 9/28/2026full-timeToronto • CanadaSenior💰 CA$90,000 - CA$140,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and implementing machine learning and GenAI solutions, including proficiency in Python, SQL, and data science techniques. Capable of translating business goals into analytical frameworks while effectively communicating with stakeholders and mentoring junior team members.

Highest-signal resume keywords

Python ProficiencyMachine Learning TechniquesGenAI Application DevelopmentSQL and PySpark ExpertiseChatbot Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningData Science TechniquesFeature EngineeringModel TrainingModel EvaluationLLM Prompt EngineeringData TransformationData ManipulationAPIs UnderstandingRAG Techniques

Soft Skills

Exceptional CommunicationProblem-SolvingAnalytical SkillsAttention to DetailMentoring

Tools & Technologies

GenAI FrameworksVector DatabasesEmbedding ModelsAWS ServicesMicroservices Architecture

Certifications & Qualifications

Bachelor's Degree in Computer ScienceReliability Status Clearance

Industry Keywords

AI BotsConversational AIData WarehousingBig Data TechnologiesCloud-Native Development

Tech Stack

Tools & technologies

AWSCloudMicroservicesPySparkPythonSQL

About the role

Key responsibilities & impact

Translate business goals into analytical problems
Identify optimal algorithms, statistical techniques, and GenAI architectures
Develop ML and data science products, including GenAI applications, with cross-functional teams
Apply descriptive, predictive, and machine learning methods from design through implementation
Perform feature engineering, model training, model evaluation, and LLM prompt engineering
Design, develop, and deploy GenAI solutions including AI agents, chatbots, and autonomous systems
Research and pilot GenAI technologies, RAG techniques, and agentic frameworks
Implement AI bots and agents with advanced reasoning and tool-use patterns
Use vector databases and embedding models for intelligent information retrieval
Break development milestones into actionable goals, activities, and work plans
Create and maintain technical design artifacts covering functionality, data models, interfaces, and integrations
Engage and negotiate with stakeholders and present business recommendations and findings
Champion continuous improvement and foster innovation within the analytics community

Requirements

What you’ll need

Bachelor's degree in Computer Science, Statistics, Mathematics, or related field, or equivalent experience
5+ years experience developing and implementing data science techniques
Proficiency in Python for data science and GenAI application development
Experience writing complex SQL and PySpark queries
Proficiency in supervised and unsupervised machine learning
Experience with data transformation, data manipulation, and structured and unstructured data
Strong understanding of APIs, microservices architecture, and cloud-native development
Hands-on expertise with GenAI frameworks and LLM APIs
Experience developing AI bots/agents with reasoning and tool-use capabilities
Strong understanding of RAG techniques, prompt engineering, fine-tuning, vector databases, and embedding models
Experience with chatbot development and conversational AI design
Exceptional communication and storytelling skills for technical and non-technical stakeholders
Ability to manage multiple projects, changing deadlines, and priorities
Proven ability to mentor junior data scientists and data engineers
Strong problem-solving, analytical, and attention-to-detail skills
Reliability Status Clearance required before employment
Must satisfactorily complete applicable background checks
Nice to have: AWS services including SageMaker, Lambda, Bedrock, and other AI/ML services
Nice to have: Data warehousing, pipelines, and big data technologies including AWS Glue, Glue Catalog, Glue Data Quality, and AWS Step Functions

Benefits

Comp & perks

Wellness programs supporting mental, physical, and financial health
Variety of career paths with networking potential
Hybrid work flexibility between home and office
Incentive plans for eligible employees, subject to individual and company performance
Employee well-being and mental health support
Accommodation available in the application process
Virtual and office work flexibility based on business, Client, and employee needs