Senior Data Scientist Senior Data Scientist 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.

Senior Data Scientist 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 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.

design and evaluate new product launches , run experimentation and A/B tests, and optimize and monitor performance of existing products to ensure visibility into product performance, user behavior, and key funnel metrics across the organization

DBT, BigQuery, and SQL to ingest, model, and transform data for downstream analysis 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 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 ownership of a full data analytics stack , including ETL pipelines, data modeling, and dashboarding (Looker experience is a bonus)

Strong proficiency in SQL — and communicate recommendations clearly across technical and non-technical audiences

Experience setting up or managing data pipelines or ingesting new data sources

AI tools or models Experience using Python for data analysis, experimentation, or custom reporting workflows 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 development, including an L&D; budget, performance reviews twice a year, and ongoing feedback to ensure you reach your highest potential

Work with an empathetic, high-performing team in a flexible, results-oriented workplace

At PolicyMe, we are Canada’s leading digital insurance solution, offering straightforward and affordable financial protection for families from coast to coast. Our product suite includes Life Insurance, Critical Illness Insurance, and Health & Dental Insurance, all tailored to Canadians' evolving needs. We also offer B2B2C solutions, partnering with organizations to provide seamless digital insurance options.

We operate with a remote-first culture, attracting top talent from across Canada. All applicants will be considered for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, or disability status. Seniority level Mid-Senior level

Employment type Full-time

Job function Information Technology and Analyst

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📌 Senior Data Scientist - E-Commerce (Quebec City)
🏢 PolicyMe
📍 Quebec City