Overview of the role:
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.
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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
- Other duties as required
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
Why join us:
- 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
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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 www.policyme.com [http://www.policyme.com/].
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.
