Senior Data Scientist

Quandri; Vancouver; Hybrid; CAD 145,000 - 200,000; Full time

Job summary

A leading technology firm in insurance is seeking a Senior Data Scientist to drive AI and analytics innovation. This role involves designing real-time learning systems, conducting advanced statistical analysis, and developing predictive models. Ideal candidates will have an advanced degree, 4-7 years of relevant experience, and proficiency in Python/R and SQL. The position offers flexibility with workplace arrangements and a competitive compensation package.

Benefits

Employee stock options

Comprehensive health benefits

Four weeks of paid vacation

$500 Lifestyle Spending Account

Parental leave top-ups

Qualifications

• 4-7 years of experience in data science or ML engineering roles.
• Experience translating business problems into analytical questions.
• Proven track record of driving business impact through analytics.

Responsibilities

• Conduct advanced statistical analysis and explore complex datasets.
• Partner with stakeholders to translate business questions into solutions.
• Build predictive models and systems to support business decision-making.
• Own the ML model lifecycle for core products.
• Build continuous learning infrastructure.

Skills

Advanced proficiency in Python/R

SQL expertise

Strong foundation in reinforcement learning

Proven ability to communicate complex ideas

Experience in agile environments

Education

Advanced degree (MS/PhD) in Statistics, Sciences, Mathematics, or related field

Job description

Overview

We’re Quandri, our mission is to unlock the world’s insurance data so brokerages and agencies can best serve their clients. Our Renewal Intelligence Platform is designed to help brokerages save time, increase profitability, and drive better outcomes for their staff, clients, and business.

We saw 3x ARR growth last year and have plans to continue to grow both revenue and our team this year. Named one of LinkedIn’s Top Canadian Startups in 2024, we have already made a big impact on the insurance industry. However, what matters most is making our customer’s lives better one renewal at a time.

We want you to be a critical part of that journey! We’re a hybrid company, with ⅔ of our team in Vancouver and the rest distributed. For those in Vancouver, we have an office in Gastown that we expect people to be at three days a week. We understand both the advantages of some flexibility around personal lives, and the positive interpersonal effects of in-person collaboration.

About Quandri and role context

Running a profitable personal lines book of business is harder than ever for insurance brokerages. Market conditions, rising costs, talent shortages, and staffing constraints are just some of the challenges that hinder profit margins, scalability, and exceptional client service. Trusted by 5 of Canada’s top 10 brokerages, Quandri is transforming the renewal process with AI-driven automation, enabling proactive workflows and delivering data-driven insights.

Today’s renewal process is often reactive, with brokers focusing on clients who request help rather than adopting a proactive, data-driven approach. Quandri is revolutionizing renewals by offering a platform that uses AI and automation to streamline operations. This allows brokerages to retain more business, enhance client and staff experiences, reduce E&O risk, and boost sales through upselling and cross-selling.

Role overview

Looking to make an impact in your next role? How about transforming an entire industry? At Quandri, we’re unlocking new frontiers in insurance. To do that, we model our culture as a crew of interstellar astronauts. As Quandronauts, we’re committed to building a company that is diverse and multi-faceted. We’ve raised venture capital from top US and Canadian investors to help us achieve our mission, and are now scaling to achieve this.

Senior Data Scientist

• As a Senior Data Scientist at Quandri, you will help drive the evolution of our continuous learning system behind our AI and analytics work. This role will design and implement real-time learning systems that continuously evolve Quandri's insurance intelligence from every bot interaction, document processed, and customer feedback, establishing the core infrastructure for our learning flywheel. You will build feedback loop architectures and models that capture and integrate signals from broker activities and customer interactions that improve model and product accuracy, reliability and capabilities, enabling Quandri to deliver increasingly intelligent insights that surpass any individual broker's capabilities.

What you’ll do

• 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

The right person for this role will have

• 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 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

Our guiding principles

• Customers at the core. We put the customer at the center of all we do. At a basic level, we believe business success comes down to talking to customers and building something they want. We don’t listen to customers and just take what they say blindly, but we think critically about it and build what they need. Customers are the core of everything we do, and our business exists to serve them. We prioritize their needs over all else within the company.
• Move with urgency. There are times when we need to move slowly and deliberately, but we default to acting fast and with urgency. We slow down when necessary, but this should be a deliberate choice. Businesses become more lethargic as they grow, this principle is designed to fight this fact.
• Be curious. We understand the world by being curious and asking why. We aren’t satisfied with surface level understanding, and seek a deeper understanding of why things are the way they are. Don’t take someone’s word for it or the answer “because that’s how we do it.” Understand why and dig deep.
• Excellence in execution. We know that what separates good from great is a high level of execution. We commit ourselves to excellence in everything that we do, from delivering an amazing product to writing a great email.
• Act like an owner. We’re all owners of the business and act like it. We follow through on commitments, own our results and think long-term.
• Fight for simplicity. The law of increasing functional information states that systems evolve to become more complex over time. At Quandri, we believe there is sophistication in simplicity; as such, we intentionally fight for streamlined solutions and are committed to the uncomplicated.

Compensation and benefits

• $145,000 - $200,000 a year
• Compensation and Benefits: The base pay range is $145,000-$200,000 which is dependent on level of experience, performance and choice of stock option compensation
• Employee stock options based on experience level
• Comprehensive health benefits, including $500 Lifestyle Spending Account
• Four weeks of paid vacation per year
• Work anywhere in the world for 60 calendar days of the year
• Parental leave top-ups: 6 months for birthing parents, 8 weeks for non-birthing parents (up to $100,000 annual salary)

Quandri is dedicated to fostering a diverse and inclusive workplace. As an equal opportunity employer, Quandri adheres to Canadian labour laws and does not engage in discrimination based on race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other status protected under Canadian law.

Don’t let imposter syndrome stop you from applying. Great people sometimes don’t have the “right” experience. If you think that you’ll be amazing at this role then we encourage you to apply.