Senior Data Scientist

Join to apply for the Senior Data Scientist role at 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 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 About PolicyMe 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. Founded by a team of insurance experts and technology entrepreneurs, PolicyMe is committed to making insurance simpler and more accessible. Since our launch in 2018, we have grown exponentially, selling over $10 billion in insurance coverage to Canadians. We are proud of the team we’ve built and are excited for those that are yet to join us. We operate with a remote-first culture, attracting top talent from across Canada. If you’re looking for a fast-paced, collaborative environment, working alongside incredibly ambitious yet humble humans, we may be the right place for you To learn more, visit Commitment to Equal Opportunity PolicyMe is proud to be an equal opportunity employer. All applicants will be considered for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, or disability status. We thank all applicants for their interest — only those selected for an interview will be contacted. Accessibility Statement PolicyMe is dedicated to ensuring an accessible experience for all candidates. If you require accommodations during the application process, please let us know in the "Additional Information" section of the job application. We are committed to working with you to provide support and make reasonable adjustments throughout the process. Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Information Technology and Analyst Industries Insurance Referrals increase your chances of interviewing at PolicyMe by 2x Get notified about new Senior Data Scientist jobs in Canada . 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