.With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibility℠.**Position Summary**The ideal Senior Data Scientist delivers production-quality solutions for insurance business problems using foundation models and data science fundamentals. They take initiative, own their work from problem definition through deployment, and proactively communicate progress, blockers, and considerations with the team and leadership. They excel at systems thinking-decomposing complex problems, designing measurement frameworks, and optimizing across multiple dimensions. They work in Azure/Databricks using Python with git version control and produce maintainable code with strong documentation.**Responsibilities and Accountabilities*** Collaborate with scientists, engineers, and technical product owners to create technical solutions* Deliver production solutions for data extraction, classification, routing, search, and decision-making using foundation models* Manipulate and analyze data programmatically, derive statistically sound insights, and communicate findings that address technical and business considerations* Engineer and evaluate foundation model prompts systematically across domain datasets* Design comprehensive evaluation frameworks using precision, recall, F-1 scores, accuracy, and operational metrics* Own documentation and mentor junior team members through systematic problem-solving approaches* Decompose complex problems into measurable components, optimize across multiple dimensions, and articulate trade-offs**Required Skills and Abilities*** Strong Python proficiency from a functional programming paradigm,



including dependency management, virtual environments, and git version control following git flow practices* Proven experience with cloud platforms like Azure and Databricks using foundation model APIs (OpenAI, Anthropic, Google, etc.)* Deep familiarity with ML fundamentals (supervised/unsupervised learning, evaluation metrics, model validation) and statistical methods* Experience designing and implementing solutions with foundation models, including prompt engineering and output validation* Proven capability to deliver solutions from inception through production with variable autonomy, iteratively refining through diagnosis, hypothesis testing, and systematic improvement* 5+ years of relevant qualified experience in data science, machine learning, or related fields; advanced graduateresearch or academic work may substitute for professional experience* Strong collaboration skills, capable of conveying statistical performance and business considerations and proactively surface issues to keep technical personas informed**Desired Skills and Abilities*** Insurance industry experience with document processing* Experience with agent frameworks (LangChain, LlamaIndex), multi-agent orchestration, RAG systems, or vector databases**Education and Experience*** Experience with production ML monitoring, experimental design, self-healing systems, or automated optimization* Graduate degree in quantitative field with strong systems thinking emphasis (Computer Science, Statistics, Economics, Physics, Mathematics, Operations Research, Computational Linguistics)#LI-LH1#LI-REMOTEFor individuals assigned or hired to work in the location(s) indicated below, the base salary range is provided. Range is as of the time of posting. Position is incentive eligible.$120,000 - $140,000 CAN/year* Total individual compensation (base salary, short & long-term incentives) offered will take into

📌 Sr. Data Scientist, Strategic Analytics (Home Based Toronto) - C$120,000 - C$140,000 A Year - Remote
🏢 McNeil
📍 Toronto