Senior Data Scientist
Job in
Old Toronto, Toronto, Ontario, M5A, Canada
Listing for:
Sun Life
Full Time
position
Listed on 2026-02-28
Job specializations:
-
IT/Tech
Machine Learning/ ML Engineer, AI Engineer, Data Scientist, Data Analyst
Job Description & How to Apply Below
Location: Old TorontoJob Description
:
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.
What will you do?
Data Science and Machine Learning
Translate business goals into analytical problems;
Identify optimal algorithms, statistical techniques, traditional ML and/or GenAI architecture suitable for the business problem at hand.Work in cross-functional teams to develop ML/data science products, including GenAI applicationsApply best-in-breed data science techniques including descriptive, predictive, and machine learning methods from design to implementationFocus on feature engineering, model training, model evaluation, and prompt engineering for LLMsUse AWS services including Sage Maker, Lambda, Bedrock, and other AI/ML servicesWork 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 plansCreate and maintain technical design artifacts describing application functionality, data models, interfaces, and integrationsEngage and negotiate with stakeholders, make business recommendations with effective presentations of findings at multiple levels of stakeholdersChampion continuous improvement and foster innovation within the analytics communityWhat will you need to succeed?
Bachelor’s degree in computer science, Statistics, Mathematics, or related field, or equivalent experience3+ years’ experience in developing and implementing data science techniquesProficient in Python for data science and GenAI application developmentExperience with writing complex SQL and PySpark queries to extract and integrate data from multiple database sourcesProficiency in machine learning including supervised and unsupervised modelsDemonstrated experience in data transformation, data manipulation, and working with structured vs. unstructured dataStrong understanding of APIs, microservices architecture, and cloud-native developmentStrong understanding of GenAI frameworks, LLM APIs, RAG techniques, prompt engineering, and fine-tuning methodologies along with familiarity with vector databases and embedding models
Position Requirements
10+ Years
work experience
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