Senior actuarial advisor commercializing predictive modeling and advanced analytics for Desjardins insurance pricing. Deploying innovative capabilities across Personal and Commercial Insurance.
About the role
- Data Scientist at Sun Life leveraging data and analytics to support client-centric solutions. Collaborating with business units to apply advanced analytics and drive measurable value.
Responsibilities
- 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
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
- 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
Benefits
- Diversity and inclusion
- Flexible working hours
- Professional development opportunities
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