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Senior Data Scientist

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PolicyMe Join to apply for the

Senior Data Scientist

role at

PolicyMe We’re on a mission to modernize insurance - making it simpler, more accessible, and customer-first. The insurance industry is a $1T market that’s remained largely untouched by the digital revolution, and PolicyMe is here to change that. As a remote-first, Toronto-based startup with big ambitions, we’re looking for a product leader to help us build the future of insurance in Canada - and beyond. We’re looking for a

Senior Data Scientist

to join our team at PolicyMe. In this high-impact role, you’ll help shape how we design, build, and evaluate new insurance products by turning complex data into actionable insights. You’ll work closely with our Product, Insurance, Engineering, and Leadership teams to drive experimentation, support product development, and design reporting structures from the ground up. You’ll complement our existing data team by owning product-facing analytics work — while also contributing to our broader data strategy. It’s an ideal opportunity for someone who thrives in ambiguity, likes to structure their own work, and wants to play a central role in a growing data function. What you'll be doing: Own the

end-to-end product and insurance analytics lifecycle;

from defining key metrics and experiments to synthesizing results into clear, actionable insights Collaborate with the Product team to

design and evaluate new product launches , run experimentation and A/B tests, and optimize and monitor performance of existing products Partner with Insurance stakeholders to support analytics related to

pricing analysis, plan design, loss ratio trends,



and retention/lapse rates Own and maintain

Mixpanel

for product analytics, including event tracking, dashboards, and funnel optimization, and drive adoption across the product team Build, optimize, and maintain

dashboards in Looker

to ensure visibility into product performance, user behavior, and key funnel metrics across the organization Work with tools like

DBT, BigQuery, and SQL

to ingest, model, and transform data for downstream analysis Contribute to a

well-maintained analytics backlog

and run structured two-week sprints using Jira; participate in relevant Product team rituals (e.g. sprint planning, standups, retros) Identify and lead

exploratory data initiatives;

carving out time to dig into opportunities and help define the product and insurance roadmap with data-first insights Communicate clearly with cross-functional stakeholders, including Engineering, Product, and Leadership, to translate business questions into data solutions Play a foundational role in scaling our data function, contributing to best practices, peer review, and cross-functional collaboration within the broader data team What we're looking for: 3–5+ years of experience in a

product-facing data role , ideally in a startup or scale-up environment Hands-on experience owning and using Mixpanel for product analytics, including experimentation, funnel analysis,



and product usage tracking Strong knowledge of A/B testing methodologies, product experimentation, and product performance evaluation A background in launching or evaluating new products, as well as monitoring and optimizing existing ones Demonstrated

ownership of a full data analytics stack , including ETL pipelines, data modeling, and dashboarding (Looker experience is a bonus) Strong proficiency in SQL

— you use it regularly for analytics, exploration, and debugging Proven ability to

translate business goals into analytical frameworks

and communicate recommendations clearly across technical and non-technical audiences Strong product sense with experience working closely with

product managers, engineers, and/or insurance stakeholders Exceptional communication skills, both written and verbal, especially in asynchronous environments (e.g. Slack, Notion, documentation) A self-starter who can

structure ambiguity , manage their own roadmap, and proactively identify opportunities Comfort working in a

fast-paced and unstructured environment , with a willingness to learn and iterate quickly Nice to haves: Experience in

insurance , financial services, or high-consideration consumer products Experience setting up or managing data pipelines or ingesting new data sources Experience leveraging

AI tools or models

in an analytics workflow Experience using Python for data analysis, experimentation, or custom reporting workflows Access to stock options and a comprehensive advantages plan A remote-first team with company-paid, in-person socials and the option to work from our Toronto-based office Resources to help your professional de

📌 Senior Data Scientist (Winnipeg)
🏢 PolicyMe
📍 Winnipeg