Sr. Data Scientist, Strategic Analytics (Home Based Toronto)

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 SummaryThe 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, andoptimizingacross 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 solutionsDeliver production solutions for data extraction, classification, routing, search, and decision-making using foundation modelsManipulateand analyze data programmatically, derive statistically sound insights, and communicate findings that address technical and business considerationsEngineer and evaluate foundation model prompts systematically across domain datasetsDesign comprehensive evaluation frameworks using precision, recall, F-1 scores, accuracy, and operational metricsOwn documentation and mentor junior team members through systematic problem-solving approachesDecompose complex problems into measurable components,optimizeacross multiple dimensions, and articulate trade-offsRequired Skills and AbilitiesStrong Pythonproficiencyfrom a functional programming paradigm, including dependency management, virtual environments, and git version control following git flow practicesProven 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 methodsExperience designing and implementing solutions with foundation models, including prompt engineering and output validationProven capability to deliver solutions frominceptionthrough production with variable autonomy, iteratively refining through diagnosis, hypothesis testing, and systematic improvement5+years of relevant professional experience in data science, machine learning, or related fields; advanced graduate research or academic work may substitute for professional experienceStrong collaboration skills, capable of conveying statistical performance and business considerations and proactively surface issues to keep technical personas informedDesired Skills and AbilitiesInsurance industry experience with document processingExperience with agent frameworks (LangChain,LlamaIndex), multi-agent orchestration, RAG systems, or vector databasesEducation and ExperienceExperience with production ML monitoring, experimental design, self-healing systems, or automated optimizationGraduate degree in quantitative field with strong systems thinking emphasis (Computer Science, Statistics, Economics, Physics, Mathematics, Operations Research, Computational Linguistics)For 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/yearTotal individual compensation (base salary, short & long-term incentives) offered will take into account a number of factors including but not limited to geographic location, scope & responsibilities of the role, qualifications, talent availability & specialization as well as business needs. The above pay range may be modified in the future.Arch is committed to helping employees succeed through our comprehensive benefits package that includes medical plus dental, vision and prescription drug coverage; a competitive retirement plan with generous matching; Vacation plus 4 Lieu Days per year; up to 12 paid company holidays per year plus 2 paid days of Volunteer Time Off plus 8 Sick Days per year; basic Life and AD&D Insurance as well as Short and Long-Term Disability; Maternity Leave top up of up to 18 weeks and Parental leave top up of 6 weeks; and Tuition Reimbursement.Do you like solving complex business problems, working with talented colleagues and have an innovative mindset? Arch may be a great fit for you. If this job isn’t the right fit but you’re interested in working for Arch, create a job alert! Simply create an account and opt in to receive emails when we have job openings that meet your criteria. Join our talent community to share your preferences directly with Arch’s Talent Acquisition team. 10200 Arch Capital Services LLCOriginally posted on Himalayas