Scientifique de données
Location: Montreal, Quebec, Toronto, Ontario
Time Type: Full time
Job Description
You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. 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. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.
Job Description:
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.
What you will do:
- 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.
- Identify opportunities for innovation and efficiency across compliance processes.
- Contribute to training and upskilling compliance staff on emerging technologies and best practices.
What you need to succeed:
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.
- Excellent communication, organizational, and time-management abilities.
- Ability to adapt quickly to new technologies and work on diverse project types.
Preferred skills:
- Proficiency in Python and libraries for AI and analytics (e.g., scikit-learn, transformers, TensorFlow, LangChain, pandas).
- 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
- Knowledge of financial services or insurance industry.
- 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.
What’s in it for you:
- We’re honoured to be recognized as a 2024 Best Workplaces in Ontario 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.
- Wellness programs that support the three pillars of your health – mental, physical, and financial
- 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
The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. 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. Certain sales focused roles have sales incentive plans based on individual or group sales results.
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. We welcome applications from qualified individuals from all backgrounds.
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 [email protected].
We 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! Several work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.
We may use artificial intelligence to support candidate sourcing, screening, interview scheduling.
We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.
Salary Range:
65,000/65 000 - 105,000/105 000Job Category:
Advanced AnalyticsPosting End Date:
18/03/2026There are more than 50,000 engineering jobs:
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