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Sun Life Financial, Inc.

Senior Data Scientist

Posted 4 Days Ago
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In-Office
2 Locations
Senior level
In-Office
2 Locations
Senior level
As a Senior Data Scientist, you will lead advanced analytics in a collaborative environment, applying machine learning techniques and designing data products to support business growth.
The summary above was generated by AI

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:

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 applications
  • Apply best-in-breed data science techniques including descriptive, predictive, and machine learning methods from design to implementation
  • Focus on feature engineering, model training, model evaluation, and prompt engineering for LLMs
  • Use AWS services including SageMaker, Lambda, Bedrock, 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.

Technical Leadership & Collaboration

  • Break down broader data science development milestones into actionable goals, activities, and work plans
  • Create and maintain technical design artifacts describing application functionality, data models, interfaces, and integrations
  • Engage and negotiate with stakeholders, make business recommendations with effective presentations of findings at multiple levels of stakeholders
  • Champion continuous improvement and foster innovation within the analytics community

What will you need to succeed?

  • Bachelor’s degree in computer science, Statistics, Mathematics, or related field, or equivalent experience
  • 3+ 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
  • Proficiency in machine learning including supervised and unsupervised models
  • Demonstrated experience in data transformation, data manipulation, and working with structured vs. unstructured data
  • Strong understanding of APIs, microservices architecture, and cloud-native development
  • Strong understanding of GenAI frameworks, LLM APIs, RAG techniques, prompt engineering, and fine-tuning methodologies along with familiarity with vector databases and embedding models

Unique Requirements: 

  • As a condition of the role, the successful candidate must obtain a Government of Canada Reliability Status security clearance through Sun Life.To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

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:

90,000/90 000 - 140,000/140 000

Job Category:

Advanced Analytics

Posting End Date:

13/03/2026

Top Skills

Aws Bedrock
Aws Lambda
Aws Sagemaker
Pyspark
Python
SQL

Sun Life Financial, Inc. Toronto, Ontario, CAN Office

150 King Street West, Toronto, Ontario, Canada, M5H 1J9

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