Data Scientist II - Predictive Reserving Analytics - Enhanced Accident Reserving team

Data Scientist II – Enhanced Accident Benefits Reserving

We currently have an opportunity for an experienced and self-driven Data Scientist II to join the Enhanced Accident Benefits Reserving team within our Corporate Actuarial department. This role is ideal for someone who not only excels in technical execution but also thrives in leading projects and mentoring others.

• Build strong, strategic partnerships within Corporate Actuarial, Claims Operations, Finance, and other business areas by deeply understanding how to leverage our predictive reserving models for their needs, communicating complex ideas clearly, facilitating collaborative workshops, and becoming a trusted advisor who identifies and drives future predictive reserving analytics opportunities.
• Lead end‑to‑end data science projects—from idea inception and partner engagement to technical design, development, evaluation, and deployment—demonstrating initiative, ownership, and the ability to drive results independently.
• Coach and mentor junior team members, fostering technical growth, collaboration, and adherence to best practices.
• Design and deliver high‑quality, peer‑reviewed, and reproducible data products that integrate seamlessly into business processes.
• Communicate findings and recommendations effectively to gain buy‑in from partners.
• Contribute to the team’s continuous improvement efforts and strategic direction.

Data products may range from research insights that influence claims strategy to deployed predictive models that optimize reserving decisions.

• Through years of relevant experience, you have demonstrated leadership and creativity in defining and tackling complex problems using a wide array of methods and approaches.
• You are a team player; your excellent analytical and critical thinking skills are complemented by strong communication and interpersonal abilities.
• You hold a Master’s or PhD in a relevant field such as computer science, engineering, or statistics, along with substantial professional experience in data science.
• Strong knowledge of data extraction, exploration and tools such as Python, Spark and SQL is required.

• Comprehensive and flexible benefit coverage to all eligible employees including a defined benefit pension plan.
• Three options of health and dental coverage, two of which are fully paid by ICBC and include access to Flex credits.
• 100% employer‑paid life insurance, long‑term disability and travel insurance.
• Sick leave plan – 100% of pay for a period of a maximum of 8 weeks plus 85% of pay for a subsequent period of up to 9 weeks.
• Additional optional insurance coverages available.

• Hybrid 8 – a minimum of 8 days in a 4‑week period at the primary office headquarters (typically 2 days per week). Remaining days remote within British Columbia.
• Hybrid 10 – a minimum of 10 days in a 4‑week period at the primary office headquarters (typically one week in/one week out or up to 3 days per week). Remaining days remote within British Columbia.
• Mobile – significant time in the field, in addition to office and optional remote work within British Columbia.
• Remote – work remotely from within British Columbia, with one required visit to the primary office per month.

Only candidates legally entitled to work in Canada will be considered for this position.