Senior Data Scientist

About the role

You will measure, understand, and help optimize Coalition's underwriting through rigorous statistical analysis. You will own the development of data-driven insights that clarify cyber risk selection and reduction. You will refine pricing strategies and automation logic to protect revenue while maintaining safety. Your work will directly influence how we underwrite and price digital risk. You will act as a technical leader within the underwriting team. You will mentor colleagues and drive analytical best practices. You will ensure that data signals translate into actionable underwriting improvements.

Key facts

What you'll do

Analyze diverse datasets including claims data, cybersecurity risk signals, and underwriting databases to extract meaningful patterns and insights.

Conduct large scale data analysis with the objective of producing valuable risk signals to be used for underwriting or risk evaluation of organizations.

Develop and refine statistical and machine learning models to assess cybersecurity risks with applications to underwriting and pricing.

Create comprehensive reports on underwriting efficiency metrics and risk selection quality to inform strategic decisions.

Apply statistical techniques to evaluate and improve our cyber risk assessment methodology.

Provide analytical support for underwriting strategies to balance growth with risk management.

Identify, analyze, and implement opportunities to automate underwriting workflows using advanced analytics and data-driven strategies.

Collaborate cross-functionally with actuarial, product, and engineering teams to implement data-driven improvements. Lead cross-functional initiatives in area of expertise.

Serve as both a technical lead and a mentor within the underwriting team.

Work alongside other data scientists, software engineers, and cyber security engineers to improve underwriting at Coalition. Intellectual curiosity and proactive approach to identifying improvement opportunities.

Perform deep dives into emerging risk trends using statistical methods to support long-term underwriting decisions.

Translate complex analytical findings into clear narratives for stakeholders with varied technical backgrounds.

Design experiments to test hypotheses about risk factors and their impact on insurance outcomes.

Maintain and document analytical processes to ensure reproducibility, transparency, and compliance.

Champion the use of evidence-based decision making across the underwriting lifecycle.

Requirements

Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Actuarial Science, or related discipline).

5+ years of experience in underwriting, quantitative analysis, or risk modeling in the insurance industry.

Knowledge of underwriting, pricing, reserving, or risk management processes in insurance.

Advanced SQL skills for querying complex databases and joining disparate data sources.

Expertise in data manipulation and analysis using Python, R, or similar analytical tools.

Experience with data visualization tools (e.g., Tableau, Power BI, Looker).

Experience with dashboard creation for operational metrics tracking.

Strong communication and analytical skills.

Capable of working with remote teams.

Nice to have

Actuarial qualification.

Experience in cyber insurance or cyber security.

Prior experience or willingness to learn how to work with large datasets and big data technologies (Snowflake, AWS Athena).

Practical notes

This role is remote-first with compensation reflecting the cost of labor across several Canadian geographic markets.

You must be located in Canada to be considered for this role.

This engagement includes structured career development opportunities consistent with Coalition's internal guidelines.

Coalition is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.