Un(e) Data Scientist F/H (IT)

You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Discover how you can make a difference in the lives of individuals, families and communities around the world.

The Data Scientist is a key member of the Compliance Innovation Team, driving the adoption of AI, business intelligence, and data-driven solutions to support Global Compliance Operations. Based in Montreal or Toronto and reporting to the Director of Innovation, this entry- to mid-level role translates compliance objectives into actionable insights through dashboards, predictive models, and automation initiatives.
The position spans four core pillars: elevating technology and data solutions (including GenAI), upskilling compliance staff, executing the Compliance Technology Roadmap, and fostering a culture of innovation. By collaborating with IT and Compliance stakeholders, the Data Scientist helps design and deploy AI-powered tools, visualization platforms, and storytelling techniques that enhance compliance processes and enable data-informed decision-making.

Partner with IT and Compliance teams to scope and deliver AI, BI, and analytics projects.
Apply advanced techniques (AI, GenAI, visualization, BI) from design through deployment.
Build dashboards and craft compelling data stories to communicate insights effectively.
Deploy AI solutions and automation tools into production and monitor performance.
Contribute to training and upskilling compliance staff on emerging technologies and best practices.

Degree in Computer Science, Statistics, Mathematics, Data Science, or equivalent experience.

• 2+ years in AI, analytics, or BI projects, including automation and data-driven solutions.
• Proven ability to manage end-to-end projects in cross-functional environments.
• Strong skills in data transformation, ETL, and process improvement.
• Ability to adapt quickly to new technologies and work on diverse project types.

Proficiency in Python and libraries for AI and analytics (e.g., Strong SQL and advanced Excel; experience with visualization tools (Tableau, QuickSight).
Hands-on experience with AI/GenAI techniques and business intelligence platforms.
Familiarity with AWS services (SageMaker, QuickSight, Q for Business) and cloud-based analytics.
Ability to handle large datasets and structured/unstructured data.
Strong data storytelling skills to present insights to stakeholders.
Assets
Familiarity with Agile methodologies.
Experience with big data frameworks (Hadoop, Spark) and distributed computing.
Bilingualism (French/English) for Quebec; French is an asset elsewhere.
Experience in automation, data architecture, and emerging AI technologies.

The opportunity to move along a variety of career paths with amazing networking potential.
As a hybrid organization, you and your leader use business and Client need to choose where you work, at home or in the office

Must be able to satisfactorily complete applicable background checks prior to the start date and during employment, in accordance with Sun Life’s policies and practices

In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our Clients, the communities where we operate and all of us as colleagues. Persons with disabilities who need accommodation in the application process, or those needing job postings in an alternative format, may e-mail a request to View email address on canada.jobradars.com are proud to be a hybrid organization that offers our employees the choice and flexibility to work from both the office and virtually based on the needs of the business, our Clients and you! We may use artificial intelligence to support candidate sourcing, screening, interview scheduling.