કામનું વર્ણન

About the Role

Empire Life is searching for a skilled Data Scientist to join its Data and Analytics team. This is a fully remote position for candidates located anywhere in Canada. The role plays a crucial part in designing, developing, and deploying advanced analytics, machine learning, and Generative AI solutions aimed at delivering tangible business benefits through predictive analytics, intelligent automation, and AI-powered decision-making systems. The work environment is centered around a modern enterprise AI ecosystem utilizing Microsoft Azure, Snowflake, and other enterprise AI platforms to deliver scalable and governed AI solutions.

Key Responsibilities

Develop and implement both traditional machine learning and generative AI projects, leveraging enterprise tools such as Microsoft Azure AI services, Snowflake, OpenAI technologies, and other approved AI platforms.
Collaborate closely with business stakeholders, technology teams, and product owners to identify opportunities for analytics, AI, and intelligent automation improvements.
Assess machine learning and Generative AI systems using quantitative metrics, experimentation strategies, human evaluation, and measurements of business impact.
Translate complex business challenges into analytical and AI-based solutions that enhance operational efficiency, customer experience, risk management, and business development.
Create, test, and refine machine learning and statistical models utilizing techniques including classification, regression, clustering, forecasting, optimization, experimentation, and deep learning.
Build and assess generative AI applications such as retrieval-augmented generation (RAG), semantic search, intelligent assistants, prompt engineering, and AI workflow orchestrations.
Conduct exploratory data analysis, feature engineering, experimental design, model evaluation, and visualization to facilitate data-informed decisions.
Champion responsible AI practices, including ensuring model explainability, governance, monitoring, and compliance.
Work alongside ML engineering teams to deploy models and AI capabilities into scalable enterprise solutions.

Candidate Profile and Qualifications

A Master's degree or higher in a quantitative discipline such as Statistics, Mathematics, Computer Science, or Engineering.
Minimum of two years of professional experience in a quantitative or data science role, preferably within insurance or financial services industries.
Proficiency in Python and SQL programming, with strong knowledge of both traditional machine learning and Generative AI theories and algorithms, including experience with Azure OpenAI and Google Generative AI platforms.
Solid background in applied statistics and quantitative modeling such as regression, segmentation, and experimentation.
Familiarity with advanced AI and machine learning methods including deep learning, large language models (LLMs), RAG, and agentic AI systems is advantageous.
Ability to convert ambiguous business challenges into quantifiable analytical and AI-driven solutions.
Knowledge about LLM evaluation approaches, prompt engineering, semantic retrieval systems, and AI-assisted workflow design is desirable.
Strong communication skills to effectively convey analytical results, AI capabilities, and limitations to technical and non-technical audiences.
Experience supporting enterprise-scale AI or intelligent automation projects.
Understanding of AI governance, model risk management, and responsible AI frameworks.
Exposure to conversational AI, intelligent document processing, knowledge assistant technologies, semantic search, and AI copilots for enterprises.
Experience working in agile product delivery contexts.
English language proficiency is mandatory for communication across Canada.

Compensation and Benefits

Target Total Compensation (base salary and bonus) ranges from $121,304 to $171,304 annually, with the actual offer depending on skills and experience.
Employment is permanent and full-time with a hybrid work model available.
Competitive salary with yearly pay increments.
Annual bonus recognizing company results and individual performance (for non-sales roles).
Access to professional development programs and tuition reimbursement dependent on role.
Comprehensive employer-funded benefits including life, health, and dental insurance starting day one, along with a generous health spending account.
Flexible working arrangements and personal health days.
Four weeks of vacation annually from hire date.
Defined contribution pension plan with employer matching.
Parental and compassionate leave top-up programs.
Wellness and recognition initiatives sponsored by employer.
Employee referral program with cash incentives.

Equal Opportunity Statement

Empire Life values diversity and inclusion, welcoming applicants from all backgrounds and experiences. The company is committed to equal employment opportunity and a barrier-free recruitment process. Accommodations are available throughout the recruitment process upon request to support candidates with disabilities.

Data Scientist