Senior Data Scientist

Pay at Intact is about much more than just salary.

• Flexible work arrangements and a hybrid work model

• Possibility to purchase up to 5 extra days off per year

• Multiple benefits offered to support physical and mental wellbeing, including telemedicine, Wellness account and much more

• Share plan & other savings: up to 12% of salary or even more (ask how you could earn guaranteed income for life)

Salary range (but not limited to):

118,700 - 145,100

Annual bonus target, based on the base salary, with a potential payout of up to double the target (subject to personal and company performance):

12%

As part of our commitment to Win As A Team, we share our success with employees through our annual bonus plan and Employee Share Purchase Plan (ESPP) – with Intact matching 50% of your net shares.

Our pension offerings provide flexibility and long-term security for our employees beyond their careers. We are one of the few companies offering the opportunity to receive guaranteed income for life via our defined benefit pension plan.

Salary for the candidate will be determined taking into consideration a number of factors including: experience, skills, qualifications, anticipated contribution to role, internal equity, etc. The salary range presented above is based on a 35-hour workweek and would represent a majority of different candidate profiles. However, we encourage candidates who may fall outside of this range to apply as well.

About the role

We are seeking an experienced Data Scientist II (NLP / LLMs) to join our dynamic team. This role is hybrid, with candidates required to be based in Vancouver. You will collaborate with our advanced data science team to design, build, deploy, and iterate on production NLP solutions powered by Large Language Models (LLMs), GenAI, and agentic AI.

This role combines strong technical execution with a product mindset: understanding customer/stakeholder needs, defining success metrics, making informed trade-offs, and delivering measurable business outcomes. The ideal candidate has deep NLP/LLM experience, thrives in ambiguity, and is comfortable operating in cloud environments (specifically AWS).

What you’ll do

• Design and deliver end-to-end AI solutions for real business problems with a product mindset and measurable impact.
• Lead AI initiatives from discovery through implementation, testing, deployment, and monitoring, reducing risk in ambiguous problem spaces.
• Define hypotheses, KPIs and success metrics, run experiments, and iterate based on results.
• Partner with stakeholders to translate business needs into scalable technical solutions.
• Collaborate with data scientists, engineers, designers, and business SMEs to build and productionize AI solutions on AWS.
• Serve as a technical lead and go-to resource for the data science team, including architecture, approach, and technical quality.
• Analyze product and software usage patterns and recommend data-driven improvements.
• Coach and mentor junior team members and lead by example in delivery and execution.
• Establish and uphold data science best practices, including coding standards, peer review, reproducibility, and testing.

What you’ll bring

• Master’s degree in Computer Science, Mathematics, AI, Engineering, or a related field, or equivalent practical experience.
• 5+ years of experience applying data science to product development, with deep focus on NLP, machine learning, and LLM-based systems.
• Hands-on experience with LLMs, including API integrations, prompt engineering, evaluation methods, and agentic patterns such as planning, tool or function calling, orchestration, and guardrails.
• Strong production experience in cloud environments, AWS preferred, including building and operating reliable NLP and LLM pipelines.
• Production proficiency with Python, Git and GitHub, and CI or CD.
• Strong grounding in ML fundamentals and modern NLP and LLM techniques.
• Strong execution skills, including the ability to prioritize effectively, manage trade-offs, and deliver in parallel across multiple workstreams.
• Demonstrated ability to work effectively with stakeholders and cross-functional teams to deliver outcomes.
• Experience defining and using KPI frameworks to measure product and ML impact, for example OKRs, North Star metrics, and model plus business KPIs, and communicating results to technical and non-technical audiences.

#Li-hybrid

Ce poste jouera un rôle essentiel au sein de notre équipe. | This position will fill an essential role in our team.