Senior Data Scientist

Summary

Join PolicyMe, a leading digital insurance solution in Canada, as a Senior Data Scientist to contribute to the modernization of the insurance industry. You will play a pivotal role in shaping the design, development, and evaluation of new insurance products by leveraging data-driven insights. Collaborate closely with cross-functional teams, including Product, Insurance, Engineering, and Leadership, to drive experimentation, support product development, and build reporting structures. This role demands ownership of the end-to-end product and insurance analytics lifecycle, from defining key metrics to synthesizing results into actionable insights. You will work with various tools and technologies, including Mixpanel, Looker, DBT, BigQuery, and SQL. As a self-starter, you will proactively identify opportunities to improve products and contribute to the company's data strategy. This is a remote-first position offering a flexible and results-oriented work environment.

Requirements

• 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

Responsibilities

• 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

Preferred Qualifications

• 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

Benefits

• Generous PTO – 20 vacation days
• Access to stock options and a comprehensive benefits 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 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 environment