Sun Life is a company dedicated to transforming how data and analytics support client-centric solutions. As a Data Scientist, you will leverage advanced analytics and data science techniques to drive value for Canadian business units, focusing on developing and implementing analytics use cases.
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
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
Qualification
Required
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
Proficient in Python for data science and application development
Experience writing complex SQL and PySpark queries to extract and integrate data from multiple sources
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
Demonstrated experience in data transformation, manipulation, and working with structured vs. unstructured data
Strong understanding of APIs, microservices architecture, and cloud-native development
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
As a condition of the role, the successful candidate must obtain a Government of Canada Reliability Status security clearance through Sun Life
Preferred
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
Benefits
Sun Life is a leading financial services organization dedicated to helping people achieve lifetime financial security and live healthier lives.
