Senior Data Scientist (Remote)

About PolicyMe

PolicyMe is a remote-first, Toronto-based startup 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. We are looking for a product leader to help us build the future of insurance in Canada - and beyond.

Role Overview

We’re looking for a Senior Data Scientist to join our team. 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