Vous êtes aussi unique que votre parcours, votre expérience et votre point de vue. Ici, vous serez encouragé, habilité et défié à être à votre meilleur. Vous travaillerez avec des collègues dynamiques – des experts dans leurs domaines – qui sont désireux de partager leurs connaissances avec vous. Vos leaders vous inspireront et vous aideront à atteindre votre potentiel et à vous envoler vers de nouveaux horizons. Chaque jour, vous aurez de nouvelles et passionnantes occasions de rendre la vie plus brillante pour nos Clients – qui sont au cœur de tout ce que nous faisons.

Chez Sun Life, nous sommes guidés par notre Raison d'être : aider nos Clients à réaliser la sécurité financière à vie et à vivre une vie plus saine. Nos valeurs façonnent notre façon de travailler : bienveillance, authenticité, audace, inspiration et impact.

Quand vous vous joignez à Sun Life, vous travaillez avec des collègues passionnés et des leaders habilitants qui soutiennent votre croissance et célèbrent vos contributions, afin que vous puissiez faire une différence significative dans la vie de nos Clients.

Découvrez comment vous pouvez faire une différence dans la vie des personnes, des familles et des communautés du monde entier.

Description de poste:

Please note this is a one year contract role.

Role Summary

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

Reporting to the Data Science Manager as a Data Scientist you will focus on supporting Canadian business units in accelerating the growth and application of advanced analytics in driving value. The 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 data and taking on challenging business problems. An inquisitive mind. Driven to ask questions to help lead projects to business value and not being afraid that the innovation attempts can and will lead to failing. A passion for solving problems. 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.

Key Responsibilities:

Data Science and Machine Learning

- 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.

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

- Education & Experience

- 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

Technical Skills

- Programming : Proficient in Python for data science and application development
- Data Engineering : Experience writing complex SQL and PySpark queries to extract and integrate data from multiple sources
- Statistical Knowledge : Solid understanding of hypothesis testing, causal inference, and model evaluation metrics
- Cloud Platform : Experience with AWS, particularly SageMaker for training and deploying ML models
- Machine Learning : Proficiency in supervised and unsupervised models
- Data Handling : Demonstrated experience in data transformation, manipulation, and working with structured vs. unstructured data
- Architecture : Strong understanding of APIs, microservices architecture, and cloud-native development

Core Competencies

- 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

- Preferred Qualifications

- 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

- 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 chance to move along a variety of career paths with amazing networking potential.
As a hybrid organization, you and your leader use business and Client need to choose where you work, at home or in the office

- 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. Significant: 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.

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L'étendue du salaire de base s'applique au lieu principal pour lequel l'emploi est affiché. Elle peut varier en fonction du lieu de travail du candidat retenu ou d'autres facteurs. En plus du salaire de base, les employés admissibles de Sun Life participent à divers régimes d'encouragement dont le paiement est discrétionnaire et assujetti au rendement individuel et à celui de l'entreprise. Certains rôles axés sur les ventes comportent des régimes d'encouragement à la vente basés sur les résultats des ventes individuelles ou de groupe.

La diversité et l'inclusion ont toujours été au cœur de nos valeurs chez Sun Life. Une main-d'œuvre diversifiée avec des perspectives variées et des idées créatives profite à nos Clients, aux communautés où nous opérons et à nous tous comme collègues. Nous accueillons les demandes de personnes qualifiées de tous les milieux.

Les personnes handicapées qui ont besoin d'accommodements dans le processus de demande ou celles qui ont besoin d'offres d'emploi dans un format différent peuvent envoyer une demande par courriel à [email protected] .

Nous sommes fiers d'être une organisation hybride qui offre à nos employés le choix et la flexibilité de travailler à la fois au bureau et virtuellement en fonction des besoins de l'entreprise, de nos Clients et de vous.

Nous pouvons utiliser l'intelligence artificielle pour soutenir la recherche de candidats, le filtrage et la planification des entrevues.

Nous remercions tous les candidats d'avoir manifesté de l'intérêt pour ce poste. Seuls les candidats sélectionnés pour une entrevue seront contactés.

Échelle salariale :

70,000/70 000 - 105,000/105 000

Catégorie d'emploi :

Advanced Analytics

Fin de l'affichage :

29/10/2026

📌 Data Scientist (Toronto)
🏢 Sun Life
📍 Toronto