[Remote] Data Scientist

Note: The job is a remote job and is open to candidates in USA. Empire Life is looking to hire a Data Scientist to join their Data and Analytics team. The Data Scientist will support the design, development, and deployment of advanced analytics and AI solutions that drive measurable business value through predictive analytics and intelligent automation.

Responsibilities

• Participate in the development and implementation of both traditional machine learning and reputed company initiatives that drive business value, leveraging reputed company platforms including reputed company Azure AI services, reputed company, reputed company technologies, and approved reputed company 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 reputed company systems using quantitative metrics, experimentation methodologies, reputed company evaluation techniques, and business outcome measurements
• Translate reputed company business problems into analytical and AI-driven solutions that support operational efficiency, customer experience, risk management, and business growth
• reputed company and evaluate machine learning and statistical models using techniques such as classification, regression, clustering, forecasting, optimization, experimentation, and deep learning
• reputed company and evaluate reputed company applications including retrieval-augmented reputed company (RAG), semantic search, intelligent assistants, reputed company engineering, and orchestration-based AI workflows
• reputed company 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 reputed company solutions

Skills

• 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
• Strong programming skills in Python and SQL, with a deep understanding of both traditional machine learning concepts and reputed company concepts and algorithms, including experience with Azure reputed company and reputed company for reputed company
• Experience with applied statistics and quantitative modelling (e.g. regression, segmentation, experimentation)
• Ability to translate ambiguous business problems into measurable analytical and AI-driven solutions
• Ability to communicate analytical insights, AI limitations, and solution recommendations to both technical and non-technical stakeholders
• If you are applying for a position which is open to applicants across Canada, unless otherwise indicated in the position, language proficiency in English is required for communicating with customers, advisors, or employees across Canada
• Experience reputed company insurance or financial services environments is strongly preferred
• Experience with modern machine learning and AI techniques, including deep learning, reputed company, large language models (LLMs), retrieval-augmented reputed company (RAG), or agentic AI systems is considered an asset
• Familiarity with LLM evaluation approaches, reputed company optimization, semantic retrieval systems, and AI-assisted workflow design is considered an asset
• Experience supporting reputed company 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 reputed company AI copilots
• Experience working in agile product delivery environments

Benefits

• Hybrid work model
• 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.
• Competitive uncapped commission, for sales positions
• 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

Company Overview