Apply on Employer Site

Quandri · 1 month ago

Senior Data Scientist

Vancouver

Full-time

Hybrid

Mid, Senior Level

$145K/yr - $200K/yr

4+ years exp

Quandri is a company focused on transforming the insurance industry through its Renewal Intelligence Platform, which utilizes AI-driven automation to enhance brokerages' efficiency and profitability. As a Senior Data Scientist, you will design and implement real-time learning systems to continuously evolve Quandri's insurance intelligence, driving data-driven insights and improving model accuracy.

Artificial Intelligence (AI)Industrial AutomationInsuranceInsurTechMachine Learning

Responsibilities

Conduct advanced statistical analysis, explore complex datasets to uncover business opportunities, perform market research through data

Partner with Product, Engineering, Sales, Marketing, and Leadership stakeholders to translate business questions into analytical frameworks and data-driven solutions

Build predictive models, forecasting, impact analysis, statistical models and the systems around them, to support business decision-making

Identify new analytical opportunities, research emerging methodologies, leverage the AI tools, and drive data science best practices

End-to-end ownership: Can take models from research to production and maintain them

Work closely with our team of Data Engineers, ML Engineers, AI Engineers, ML Ops, Software Engineers and other Data Scientists to integrate data insights, engineering best practices and tech review to deliver production systems and analysis

Own the ML model lifecycle for your core products (Renewals, Requoting, Connect)

Build the continuous learning infrastructure that feeds back into model and product improvement

Qualification

Python/RSQLMachine LearningStatistical AnalysisFeedback Loop SystemsReinforcement LearningAgile MethodologiesCollaborationLeadership

Required

Advanced degree (MS/PhD) in Statistics, the Sciences, Mathematics, Computer Science or related quantitative field

4-7 years of experience in data science, ML engineering or data engineering roles with proven track record of driving business impact through analytics

Advanced proficiency in Python/R, and SQL

Expertise in building feedback loop integration systems that take feedback from engineering services, product activities, and customer interactions

Strong foundation in reinforcement learning, self-supervised learning or human in the loop learning

Experience translating business problems into analytical questions and communicating technical findings to non-technical stakeholders

Proven ability to communicate complex ideas clearly, collaborate across teams, lead projects from concept to delivery, and inspire others through strong leadership

Experience in agile, fast moving, and high impact business environments preferred