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About the role

  • Data Scientist developing machine learning solutions and AWS analytics for Sun Life’s Canadian insurance and financial-services business. Translating business goals into models, pipelines, and actionable insights.

Responsibilities

  • Translate business goals into analytical problems and identify optimal algorithms, statistical techniques, and traditional machine learning methods
  • Work in cross-functional teams to develop machine learning and data science products
  • Apply descriptive, predictive, and machine learning methods from design through implementation
  • Perform 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 including AWS Glue, Glue Catalog, Glue Data Quality, and AWS Step Functions
  • Break down data science development milestones into actionable goals, activities, and work plans
  • Create and maintain technical design artifacts covering application functionality, data models, interfaces, and integrations
  • Engage and negotiate with stakeholders and make business recommendations through presentations of findings
  • Champion continuous improvement and foster innovation within the analytics community

Requirements

  • 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
  • Proficiency in Python for data science and application development
  • Experience writing complex SQL and PySpark queries
  • Solid understanding of hypothesis testing, causal inference, and model evaluation metrics
  • Experience with AWS, particularly SageMaker for training and deploying ML models
  • Proficiency in supervised and unsupervised models
  • Experience in data transformation, manipulation, and working with structured and unstructured data
  • Strong understanding of APIs, microservices architecture, and cloud-native development
  • Exceptional communication and storytelling abilities
  • Ability to manage multiple projects with changing deadlines and priorities
  • Strong problem-solving, analytical, and attention-to-detail skills
  • Reliability Status Clearance required before employment
  • Ability to satisfactorily complete applicable background checks before starting and during employment
  • Preferred: hands-on experience with GenAI frameworks and LLM APIs, including AI bots/agents with reasoning and tool-use capabilities
  • Preferred: understanding of RAG techniques, prompt engineering, and fine-tuning methodologies
  • Preferred: familiarity with vector databases and embedding models
  • Preferred: experience with Docker and CI/CD concepts

Benefits

  • Wellness programs supporting mental, physical, and financial health
  • Variety of career paths and networking opportunities
  • Hybrid work flexibility between home and office
  • Incentive plans for eligible employees, subject to individual and company performance
  • Accommodation available for applicants with disabilities
  • Alternative-format job postings available upon request

Job type

Full Time

Experience level

Junior

Salary

CA$65,000 - CA$105,000 per year

Degree requirement

Bachelor's Degree

Tech skills

AWSCloudDockerMicroservicesPySparkPythonSQL

Location requirements

HybridTorontoCanada

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