Sun Life Financial, Inc. Logo

Sun Life Financial, Inc.

Senior Data Scientist

Reposted 2 Days Ago
Be an Early Applicant
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

Similar Jobs

23 Days Ago
In-Office
Toronto, ON, CAN
Senior level
Senior level
Gaming
The role involves using machine learning and data science skills to develop automated solutions, enhance marketing, and support product functions, requiring statistics expertise and technical knowledge.
Top Skills: AirflowAWSDatabricksKinesisPysparkPythonRedshiftSQLTableau
9 Days Ago
Hybrid
Toronto, ON, CAN
Senior level
Senior level
Consumer Web • eCommerce • Internet of Things
The Senior Data Scientist will design and deploy machine learning models, analyze data for business insights, and optimize AI applications in collaboration with teams to drive important business decisions.
Top Skills: AirflowArgo WorkflowsAWSBigQueryDatabricksGCPGitKubernetesMlflowPandasPolarsPythonPyTorchShapSnowflakeSQLTensorFlow
Yesterday
In-Office
Toronto, ON, CAN
Senior level
Senior level
Fintech
This role leads data-driven analytics for decision making, mentoring juniors, and applying advanced techniques to solve business problems.
Top Skills: HadoopPower BIPythonRScikit-LearnSparkSQLTableauTensorFlow

What you need to know about the Calgary Tech Scene

Employees can spend up to one-third of their life at work, so choosing the right company is crucial, not just for the job itself but for the company culture as well. While startups often offer dynamic culture and growth opportunities, large corporations provide benefits like career development and networking, especially appealing to recent graduates. Fortunately, Calgary stands out as a hub for both, recognized as one of Startup Genome's Top 100 Emerging Ecosystems, while also playing host to a number of multinational enterprises. In Calgary, job seekers can find a wide range of opportunities.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account