Data and Analytics Regular Full-Time Professional Any Canadian Location, CA

30+ days ago Requisition ID: 3003

Salary Range: $104,041.00 To $153,690.00 Annually

Data Scientist

Remote - Anywhere in Canada

Please note the base salary will be determined by the successful candidate's education, skills and experience. The listed salary range serves as a general pay guideline for this position's pay level.

Our hiring process includes AI screening for keywords and minimum qualifications. Recruiters review all results.

The total target compensation (TTC) range, including salary and target bonus, is $104,041 - $153,690. This TTC range is applicable to permanent roles only. The base salary offered within this range will be determined by the successful candidate’s skills and experience, as well as internal equity.

Empire Life is looking to hire a Data Scientist to join our Data and Analytics team We are actively seeking candidates to fill a current, open position.

The Data Scientist will play a pivotal role in supporting the design, development, and deployment of advanced analytics, machine learning, and Generative AI solutions that drive measurable business value through predictive analytics, intelligent automation, and AI-assisted decision systems. The Data Scientist will be involved in a combination of traditional data science initiatives and modern AI applications, including predictive modeling, LLM-powered solutions, intelligent automation, and AI-assisted decision support systems. This position operates within a modern enterprise AI ecosystem leveraging Microsoft Azure, Snowflake, and other enterprise AI platforms to deliver scalable and governed AI solutions. This role reports to the Director of Data and AI strategy.

Why pursue this opportunity





Join a transforming business - we are a medium-sized Canadian company in a stable industry that emphasizes the importance of innovation to use industry-leading technology.

Play an integral role - this is an opportunity that allows for you to grow your skills, while directly contributing to the business unit you are a part of.

The opportunity - collaborate with cross-functional teams and work on a variety of projects that will keep you engaged and continuously learning.

Hone your skills - this is an prospect that allows for you to grow your technical, and functional skills.

What you’ll be working on

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

What we’re looking for you to have

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, with a 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

📌 Senior Data Scientist: AI (Canada)
🏢 Empire Life Investments
📍 Canada