Data Scientist

Our employees are at the heart of everything we do. Together, we help people, businesses, and society prosper in good times and be resilient in bad times.

Our employee promise represents Intact’s commitment to you in exchange for living our Values, striving to do your best work, being open to change and investing in your career. In return, we promise to provide support, opportunities and performance-led financial rewards at a workplace where you can shape the future, win as a team and grow with us.

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):

94,200 - 115,200

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

10%

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).

 

This is an excellent opportunity for a motivated individual to leverage their expertise in NLP, GenAI, and agentic AI while delivering real product outcomes in a collaborative, production-focused environment. If you’re excited to lead innovative NLP/LLM initiatives on AWS, we’d love to hear from you.

What you'll do here:

• Collaborate cross-functionally with Product, Design, and Data/ AI Engineering, to deliver end-to-end NLP/GenAI capabilities from prototype to production.

• Apply a product mindset to translate ambiguous business problems into clear hypotheses, solution approaches, MVPs, and measurable outcomes (KPIs, offline/online evaluation).

• Design and develop complex analytical and ML projects, taking ownership from discovery and experimentation through deployment, monitoring, and iteration.

• Build and optimize NLP/LLM solutions such as classification, extraction, summarization, retrieval, semantic search, and question answering using RAG and modern prompting techniques.

• Develop and operationalize agentic AI workflows (tool use, function calling, orchestration, guardrails, and evaluation) to automate multi-step business processes safely and reliably.

• Work with large-scale structured and unstructured datasets: data cleaning, preparation, feature engineering, and dataset governance.

• Define, implement, and maintain model monitoring: performance drift, data quality checks, bias/fairness considerations, latency/cost monitoring, and business impact tracking.

• Stay current on advancements in GenAI, LLM tooling, agent frameworks, and evaluation methods, incorporating practical improvements into workflows.

• Mentor junior data scientists, contribute to best practices, and help raise the bar on experimentation rigor, reproducibility, and production readiness.

What you bring to the table:

• Master’s degree (Ph.D. preferred) in Computer Science, Data Science, Statistics, Mathematics, or a related field.

• Minimum 2–3 years of experience in data science/ML, with strong depth in NLP and machine learning.

• Extensive experience using Python for data analysis, modeling, and building production-grade ML workflows.

• Demonstrated experience working in cloud environments, specifically AWS, including services such as SageMaker, and S3.

• Deep understanding and hands-on experience with NLP techniques and tooling (e.g., transformers, embeddings, sequence models).

• Experience building with and/or fine-tuning LLMs (e.g., GPT-style models, BERT or similar), including modern approaches such as prompt engineering, RAG, evaluation frameworks, and safety/quality guardrails.

• Experience with GenAI/agentic AI patterns (e.g., tool/function calling, orchestration, memory/state, human-in-the-loop workflows).

• Proficiency with SQL and experience with Snowflake.

• Strong ML fundamentals and applied experience selecting models, validating results, and communicating trade-offs.

• Experience with data visualization tools like Power BI.

• Excellent problem-solving skills and strong communication, time management, organization, and presentation skills.

• Preferred (not required): knowledge of the insurance sector.

• No Canadian work experience required; however, must be eligible to work in Canada.

Il s'agit d'un nouveau rôle au sein de notre équipe en pleine croissance | This role is a new member of our growing team.

We are an equal opportunity employer

At Intact, our Value of respect is founded on seeing diversity as a strength. We strive to create an accessible workplace where employees feel valued, included and encouraged to share their unique perspectives.

We encourage applications from individuals who are members of equity-deserving groups, including but not limited to women, Indigenous peoples, persons with disabilities, Black people, and members of the 2SLGBTQI+ community.

As part of Intact’s commitment to reconciliation, we acknowledge that we work, meet and travel across the land currently called Canada, originally inhabited by First Nations, Metis and Inuit people. This history extends through many centuries and continues to evolve today.

We have policies to ensure equal access and participation for people with disabilities, including providing workplace adjustments (accommodations). A copy of applicable policies is available on request.

If we can provide a specific adjustment to make the recruitment process more accessible for you, please let us know when we reach out about a job opportunity. We’ll work with you to meet your needs.

Learn more about our recruitment process and your candidate journey here.

Please note that Intact does not provide sponsorship or other support for immigration-related matters including but not limited to employer-specific closed work permits. Candidates must be eligible to work in Canada from the anticipated start date and throughout their employment and are solely responsible for maintaining their work eligibility.

If you are an employee of Intact or belairdirect, please apply for this role on Internal Career Site.