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About the Role

Empire Life is seeking a Data Scientist to join their Data and Analytics team. This role supports the design, development, and deployment of advanced analytics, machine learning, and Generative AI solutions to drive business value through predictive analytics, intelligent automation, and AI-assisted decision systems. The position operates within a modern enterprise AI ecosystem leveraging Microsoft Azure, Snowflake, and other enterprise AI platforms.

Responsibilities

• Participate in the development and implementation of both traditional machine learning and Generative AI initiatives that drive business value, leveraging enterprise platforms including Microsoft Azure AI services, Snowflake, OpenAI technologies, and approved enterprise AI tooling.
• Partner with business stakeholders, technology teams, and product owners to identify opportunities for analytics, AI, and intelligent automation solutions.
• Evaluate machine learning and Generative AI systems using quantitative metrics, experimentation methodologies, human evaluation techniques, and business outcome measurements.
• Translate complex business problems into analytical and AI-driven solutions that support operational efficiency, customer experience, risk management, and business growth.
• Develop and evaluate machine learning and statistical models using techniques such as classification, regression, clustering, forecasting, optimization, experimentation, and deep learning.
• Develop and evaluate Generative AI applications including retrieval-augmented generation (RAG), semantic search, intelligent assistants, prompt engineering, and orchestration-based AI workflows.
• Perform exploratory analysis, feature engineering, experimentation, model evaluation, and visualization to support data-driven decision making.
• Support responsible AI practices including model explainability, governance, monitoring, and compliance requirements.
• Collaborate with ML Engineering teams to transition models and AI capabilities into scalable enterprise solutions.

Requirements

• Master's degree or higher in a quantitative field such as Statistics, Mathematics, Computer Science, or Engineering.
• 2+ years of working experience in a quantitative role, ideally in data science and machine learning field.
• Experience within insurance or financial services environments is strongly preferred.
• Strong programming skills in Python and SQL.
• Deep understanding of both traditional machine learning concepts and Generative AI concepts and algorithms, including experience with Azure OpenAI and Google for Generative AI.
• Experience with applied statistics and quantitative modelling (e.g. regression, segmentation, experimentation).
• Experience with modern machine learning and AI techniques, including deep learning, Generative AI, large language models (LLMs), retrieval-augmented generation (RAG), or agentic AI systems is considered an asset.
• Ability to translate ambiguous business problems into measurable analytical and AI-driven solutions.
• Familiarity with LLM evaluation approaches, prompt optimization, semantic retrieval systems, and AI-assisted workflow design is considered an asset.
• Ability to communicate analytical insights, AI limitations, and solution recommendations to both technical and non-technical stakeholders.
• Experience supporting enterprise AI or intelligent automation initiatives.
• Familiarity with AI governance, model risk management, or responsible AI practices.
• Familiarity with conversational AI, intelligent document processing, or knowledge assistant solutions.
• Exposure to document intelligence, knowledge assistants, semantic search, or enterprise AI copilots.
• Experience working in agile product delivery environments.
• English language proficiency is required for communicating with customers, advisors, or employees across Canada.
• Hiring process includes AI screening for keywords and minimum qualifications.

Skills

• Python
• SQL
• Machine Learning
• Generative AI
• Azure OpenAI
• Google for Generative AI
• Applied Statistics
• Quantitative Modelling
• Deep Learning
• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• Agentic AI Systems
• LLM evaluation approaches
• Prompt optimization
• Semantic retrieval systems
• AI-assisted workflow design
• AI governance
• Model risk management
• Responsible AI practices
• Conversational AI
• Intelligent document processing
• Knowledge assistant solutions
• Document intelligence
• Enterprise AI copilots

Location

• Remote - Ontario

Work Type

• Remote
• Hybrid work model

Experience Level

• 2+ years of working experience in a quantitative role, ideally in data science and machine learning field

Education Level

• Master's degree or higher in a quantitative field such as Statistics, Mathematics, Computer Science, or Engineering.

Salary/Compensations

• $104,041 - $153,690

Benefits

• Competitive salaries with annual pay increases
• Annual bonus program, which recognizes both strong company performance and individual contributions, for non sales positions
• Access to learning & development programs, and education/tuition reimbursement (role dependent), to support your professional growth and career advancement.
• A comprehensive employer-funded benefits package starting from day one of employment, that includes life insurance, health and dental and a generous health account
• Flexible work arrangements and an annual allotment of personal health days.
• Four weeks annual vacation from hire date
• A defined contribution pension plan with generous employer matching
• Top up programs for parental leave and compassionate leave
• Employer-sponsored wellness and recognition programs
• A cash employee referral program

About the Company

• Empire Life is a medium-sized Canadian company in a stable industry that emphasizes the importance of innovation to use industry-leading technology.
• To learn more about working at Empire Life, visit https://www.empire.ca/workatempire

Equal Opportunity

• Empire life is proud to be an equal opportunity employer. We celebrate diversity, are committed to creating an inclusive environment, and welcome everyone to participate in our application process. We encourage those of all backgrounds and experiences to apply, even if you don't believe you meet each unique qualification outlined. Applicants will receive equal consideration without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, or age.
• Empire Life is proud to be an equal opportunity employer, dedicated to building an inclusive and barrier-free workplace. We welcome applications from people with disabilities and are committed to providing accommodations at any stage of the recruitment process. If you require a specific adjustment to help you present your best self, please let us know—we are happy to work with you. If you need this job posting in an alternative format or have any accessibility questions, please contact recruitment@empire.ca.