sunlife

Senior Data Scientist

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At a Glance

Location
Toronto, Ontario, Canada
Employment
Full time
Experience
5+ years
Posted
2026-07-07

Key Requirements

Required Skills

AWSData ScienceETLMachine LearningMicroservicesPythonSQLSpark

Domain Knowledge

  • Engineering
  • Government

Requirements

5+ years experience in developing and implementing data science techniques

Proficient in Python for data science and GenAI application development

Experience with writing complex SQL and PySpark queries to extract and integrate data from multiple database sources

Demonstrated experience in data transformation, data manipulation, and working with structured vs.

Strong understanding of APIs, microservices architecture, and cloud-native development

Hands-on expertise with GenAI frameworks and LLM APIs with experience developing AI bots/agents with reasoning and tool-use capabilities

Compensation & Benefits

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.

Responsibilities

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

Director, Data Science,

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.