Posted:
2/18/2026, 1:47:14 AM
Location(s):
Toronto, Ontario, Canada ⋅ Ontario, Canada
Experience Level(s):
Senior
Field(s):
Data & Analytics
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 professional experience in data science, machine learning, or related fields; advanced graduate research 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)
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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/year
Total 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 LLCWebsite: https://archgroup.com/
Headquarter Location: Hamilton, Hamilton, Bermuda
Employee Count: 5001-10000
Year Founded: 1995
IPO Status: Public
Last Funding Type: Post-IPO Equity
Industries: Finance ⋅ Financial Services ⋅ Insurance