Staff Data Scientist, Insurance

10+ years in analytics or data science with a consistent track record of measurable product, underwriting, or revenue impact.

Expert SQL, including complex data modeling, performance optimization, and clear, maintainable documentation.

Expert in Python or R for analysis, experimentation, and reproducible workflows (e.g., notebooks, scripts, modular libraries).

Strong grasp of statistical methods: hypothesis testing, experiment design, causal thinking (e.g., quasi-experimental designs, difference-in-differences, propensity scores), and robust interpretation under real-world constraints.

Experience with BI tools such as Looker or Tableau, and the ability to design reliable, executive-ready dashboards and self-serve measurement layers.

Demonstrated ability to lead cross-functional initiatives end-to-end: framing ambiguous problems, aligning stakeholders, delivering high-quality work, and landing the change in partner teams.

As a remote-first organization, our compensation reflects the cost of labor across several Canadian geographic markets.

In Alberta, British Columbia & Ontario the base salary for this position ranges from $158,400.00/year up to $208,400.00/year.

For all other locations, the base salary for this position ranges from $142,600.00/year up to $192,600.00/year.

Consistent with applicable laws, an employee's pay within this range is based on a number of factors, which include but are not limited to relevant education, skills, job-related knowledge, qualifications, work experience, credentials, and/or geographic location. Your Recruiter can share more on the specific target salary range for your location during the interview process. Coalition, Inc. reserves the right to modify this range as needed.

We are hiring a Staff Data Scientist to define and lead the data science strategy for Coalition’s insurance business.

In this role, you will own some of our most important analytical and modeling problems across underwriting, claims, CoalitionRe, and portfolio management helping us to move the organization from ad hoc analyses to reusable, rigorous decision frameworks.

You’ll lead multi-quarter, cross-functional initiatives, design and analyze complex experiments and quasi-experiments, and build data and modeling assets that become the source of truth for leaders.

Your work will shape how we measure performance, price and select risk, structure reinsurance, and allocate capital, while mentoring other scientists and analysts to raise the technical bar across the team.

Define and lead the data science strategy for Coalition’s insurance business, driving multi-quarter initiatives across underwriting, claims, CoalitionRe, and portfolio management.

Lead cross-functional analytics and data science projects that uncover insights and optimization opportunities across the end-to-end customer and broker journey, from submission through renewal and expansion.