Senior Data Scientist

Senior Data Scientist – Sun Life Join to apply for the Senior Data Scientist role at Sun Life.

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.

Role Summary Within Sun Life's Corporate IT team, we’re seeking a Senior Data Scientist with strong GenAI expertise to join our mission of transforming how we apply data, analytics, and artificial intelligence to support Sun Life's client‑centric approach. As a key member of the Data team, you’ll accelerate the growth and application of analytics and generative AI in driving business value across our organization.

Key Responsibilities

Engage with business stakeholders to translate business goals into analytical problems and AI solutions

Develop AI/ML data science products, with a focus on generative AI systems and large language models (LLMs)

Apply advanced data science techniques, including descriptive, predictive, and machine learning methods

Design and implement generative AI solutions that create human‑like content and solve complex problems autonomously

Optimize AI performance and address ethical considerations in AI development – provide guidance on feature engineering, model training, and evaluation

Make data‑driven business recommendations and present findings to various stakeholders – contribute to and help grow the data science and AI community at Sun Life

Required Qualifications

BSc/M.S. in a statistical, mathematical, or technical field (e.g., computer science) or equivalent experience

3+ years experience in developing and implementing data science techniques

3+ years experience in developing generative AI systems, working with LLMs, and optimizing AI performance – proficiency in SQL and statistical programming languages (e.g., Python)

Experience with AWS services, including SageMaker – expertise in machine learning, including supervised and unsupervised models

Experience with data transformation, manipulation, and working with structured/unstructured data

Knowledge of technologies like Hadoop, HDFS, Hive, HBase, and Spark – strong communication and storytelling skills for insights presentation

Ability to manage multiple projects and guide junior team members

Preferred Qualifications

Experience in life insurance, wealth management, or other financial services

Familiarity with Agile delivery models

Experience deploying production‑grade models in cloud infrastructure

Knowledge of ethical AI practices and staying current with evolving GenAI technologies

Note: As a condition of the role, the successful candidate must obtain a Government of Canada Reliability Status security clearance through Sun Life.

Base Pay range: 90,000 – 140,000. In addition to base pay, eligible employees participate in incentive plans, with payment discretionary and contingent on performance.

Diversity and inclusion have always been at the core of our values at Sun Life. 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 thebrightside@sunlife.com.

We are proud to be a hybrid organization offering flexibility to work from the office or virtually based on the needs of the business, our Clients and you.

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