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Added 18 mins ago
Senior Full Stack Software Developer
Mecka
Remote, Canada
$165,000 to $200,000 CAD / year
Full-time · Remote
Exposure to cloud environments (*AWS, GCP, or Azure**) and standard deployment pipelines (CI/CD, Docker).
Added 32 mins ago
Senior Python Engineer
Luxoft
Toronto, ON
Full-time
· Develop cloud-native applications (AWS preferred)
Added 32 mins ago
Security Program Manager
Tata Consultancy Services
Toronto, ON
$100,000 to $120,000 CAD / year
Full-time
Work closely with technical teams developing and integrating AI agents, LLMs, APIs, security tools, automation frameworks, cloud environments, containers, and security test environments.
Added 32 mins ago
Testing Engineer
Realtek Consulting LLC
Montreal, QC
Contract
Experience with Cloud-Native / Microservices architectures
Added 32 mins ago
Senior Machine Learning Engineer
BULL-IT SOLUTIONS LTD
Vancouver, BC
Full-time
Experience with cloud-native ML platforms, automated deployment processes, and production support is essential.
Added 32 mins ago
Agent & DevOps Platform Engineer
Zodiac Solutions, Inc
Toronto, ON
Full-time
Hands-on experience with Infrastructure as Code, configuration management, and cloud-native deployments
Added 1 hour ago
Python Full Stack Developer
Epsilon Solutions Ltd.
Toronto, ON
Contract
…development with hands-on experience in Python, React, and cloud-native technologies. As a Full Stack Developer, you will be responsible for designing, building, and maintaining robust…
Added 1 hour ago
Staff Software Developer (Pre-ID Relo)
Intuit
Toronto, ON
Full-time
The work is architecturally demanding. HCM spans a modern React front end and a large surface of cloud-native backend services, sitting on business logic that must be exactly right:…
Added 1 hour ago
AI Platform Engineer
Volgo Technologies
Toronto, ON
Contract
…DevOps expertise to design, build, deploy, and maintain scalable cloud platforms supporting AI/ML and fraud detection initiatives. The ideal candidate will have hands-on experience with…
Added 1 hour ago
Intermediate AWS Developer, Wealth Management Technologies
BMO
Toronto, ON · BMOPLACE
Full-time
We are seeking an intermediate AWS Developer to join our Wealth Management Technology team. This role is responsible for designing, developing, and supporting scalable, secure, and…
Added 1 hour ago
AI Infrastructure & Solutions Architect
University of Toronto
Toronto, ON
…health using tools such as Prometheus, Grafana, OpenTelemetry, cloud-native monitoring services (e.g., Amazon CloudWatch, Azure Monitor, Google Cloud Monitoring), or specialized AI…
Added 1 hour ago
Engineering Manager, Voyager (Applied AI & Innovation)
Relay
Remote, Canada
Full-time · Remote
Developer Enablement: Give teams across Relay the tooling, patterns, and guidance they need to ship AI workflows quickly and safely
Added 1 hour ago
Python Full Stack Developer
Precision Technologies
Toronto, ON
Contract
We are looking for a skilled Python Full Stack Developer with a strong background in full-stack software development and hands-on experience with Python, React, and cloud-native…
Added 1 hour ago
Test Engineer
Realtek Consulting LLC
Montreal, QC
Contract
Cloud native technology experience, preferably Microservice-based architecture
Added 1 hour ago
Senior Java Software Engineer
Dexian
Mississauga, ON
Contract
We are seeking an experienced Senior Java Backend Developer with 10+ years of software development experience and strong expertise in Java, Spring Boot, REST APIs, Microservices, and Cloud…
Added 1 hour ago
Software Engineer (Neo4j/Graph Database)
Iris Software Inc.
Toronto, ON
Contract
Develop cloud-native infrastructure solutions using AWS CDK, following Infrastructure-as-Code (IaC) principles and enterprise standards.
Added 1 hour ago
Technical Program Manager
Yochana
Vancouver, BC
Contract
Lead cloud-based initiatives leveraging AWS services and cloud-native architectures.
Added 2 hours ago
Android Engineer
AgileGrid Solutions
Canada
Full-time
The ideal candidate will possess at least 6 years of experience in native Android application development using Java and Kotlin, along with a solid background in application and data…
Added 2 hours ago
Sr. Java Developer
Iris Software Inc.
Toronto, ON
Contract
Comfortable working across the full delivery stack, including cloud-native patterns, CI/CD, and production-grade solutions in regulated environments.
Added 2 hours ago
Lead ML Platform Engineer
Royal Bank of Canada
Calgary, AB
Full-time
Building highly scalable, resilient cloud and on-premise systems for hosting machine learning systems using state-of-the-art technologies.
Added 2 hours ago
Senior Machine Learning Engineer // Toronto, ON // Hybrid : FTE
AceStack
Toronto, ON
Full-time
Deploy ML models and services using cloud-native architectures and enterprise deployment practices.
Added 3 hours ago
Principal AI Engineer
Royal Bank of Canada
Calgary, AB
Full-time
…engineering solutions on RBC’s Enterprise Data and AI Hybrid Multi-cloud Platforms, that meet the strategic data objectives of the business. This is unique opportunity to be an impactful…
Added 3 hours ago
Lead Full Stack Developer
Royal Bank of Canada
Toronto, ON
Full-time
The RBC Borealis Lumina Platform team is hiring a Lead Full Stack Developer who will bring focus and subject-matter expertise around designing and implementing APIs and UIs for the AWS and…
Added 4 hours ago
AI Developer
Cameco Corporation
Saskatoon, SK
Full-time
experience developing or integrating applications in containerized or cloud-native environments;
Added 4 hours ago
Sr. AI Developer
Cameco Corporation
Saskatoon, SK
Full-time
experience building or integrating applications in a containerized/cloud-native environment;

Sun Life

Senior Data Scientist

Toronto, ON, Canada
Waterloo, ON, Canada
Sun Life Toronto One York, Canada

Job type: Full-time
Apply by: Oct 6, 2026
Experience: 5+ years experience in developing and implementing data science techniques
Posting language: English
Posted: Sep 28, 2026

Apply About employer

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Original job description

You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do.

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.

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.

Discover how you can make a difference in the lives of individuals, families and communities around the world.

Job Description:

Role Summary

Within Sun Life, the Data and Analytics COE comprised 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 COE organization, the Data Science COE supports Canadian business units in their journey to leverage data and analytics as a foundational pillar in delivering business value.

Reporting to the Director, Data Science, as a Senior Data Scientist you will focus on supporting Canadian business units in accelerating the growth and application of advanced analytics in driving value. The senior 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:

Fierce curiosity. You are drawn to discovering and leveraging new data and taking on challenging business puzzles. An inquisitive mind. Driven to ask questions to help lead projects to commercial value and not being afraid that the innovation attempts can and will lead to failing. A passion for solving problems. The most successful data scientists’ solution for what the right data to use, they solve using the most suitable (not most advanced) algorithms for the problem at hand and figure out how to execute and deliver with highest efficiency. Technical skills in both data and computer science. There are 3 core technical skills we look for: in-depth coding knowledge of an analytical tool(s) (i.e., Python); data science techniques and concepts; working with structured data and unstructured data. Thirst for learning. You are a data scientist who is constantly updating their knowledge of data science state-of-the-art.

What you will do:

Data Science and Machine Learning

Translate business goals into analytical problems; Identify optimal algorithms, statistical techniques and/or GenAI architecture suitable for the business problem at hand
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

GenAI & Agentic AI Development

Design, develop, and deploy GenAI solutions including AI agents, chatbots, and autonomous systems that solve complex business problems
Research and pilot the latest GenAI technologies, RAG (Retrieval-Augmented Generation) techniques, and agentic frameworks (LangChain, LangGraph, CrewAI etc.)
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

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

What you need to succeed:

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

What would be nice to have?

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.

Unique Requirements:

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.

What’s in it for you:

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 needs to choose where you work, at home or in the office

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.

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.

Salary Range:

90,000/90 000 - 140,000/140 000

Job Category:

Advanced Analytics

Posting End Date:

05/10/2026

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More about this job

Responsibilities

The Senior Data Scientist will support Canadian business units by designing, developing, and implementing advanced analytics and GenAI solutions to drive business value. This role involves working in cross-functional teams to build ML products, AI agents, and intelligent information retrieval systems while mentoring junior staff.

Requirements

Candidates must hold a bachelor's degree in a quantitative field and possess at least 5 years of experience in data science techniques. Proficiency in Python, SQL, PySpark, and hands-on expertise with GenAI frameworks and LLM APIs are required for this position.

Skills

Python
Machine Learning
GenAI
SQL
PySpark
Data Science
RAG
Prompt Engineering
LLMs
Chatbot Development
Data Transformation
Cloud-native development
Microservices
Analytical problem solving
Stakeholder management
Mentoring

Benefits

Wellness programs
Mental health support
Physical health support
Financial health support
Career development opportunities
Hybrid work flexibility

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Machine Learning
GenAI
Python
SQL
PySpark
LLM
RAG
LangChain
LangGraph
CrewAI
Vector Databases
Embedding Models
Microservices
Cloud-native
AWS SageMaker
AWS Lambda
AWS Bedrock
AWS Glue
Data Warehousing
Predictive Modeling
Feature Engineering
Conversational AI
Data Analytics
Artificial Intelligence
Agentic AI
Statistical Analysis
Data Transformation
Stakeholder Engagement
Mentorship

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