Data scientist jobs in North Vancouver (City), BC and nearby

Data scientist jobs within 25 km of North Vancouver (City), BC, Canada. Nearby towns and cities are included. Distances are straight-line, not driving distances.

Counted Sep 18, 2026

Hiring at a glance

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Open jobs: 55
Employers: 44

Advertised starting pay

Not enough comparable pay figures yet.

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 0%0 listings
Hybrid: 38%21 listings
On-site: 62%34 listings

Employers hiring include Amazon (4), Apple (2), CMHC - SCHL (2).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

Data scientist jobs in North Vancouver (City), BC and nearby

Within 25 km

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Data Scientist/Senior Analyst (Supply Analytics, Bangkok-based, Relocation provided)
Agoda
Vancouver, BC
Full-time
Lead Data Scientist
Mphasis
Vancouver, BC
Full-time
Job Title: Lead Data Scientist- AI/ML Engineering
Machine Learning Engineer - EA Sports FC
EA SPORTS
Vancouver, BC
Full-time
Machine Learning Engineer - EA Sports FC
EA SPORTS
Vancouver, BC
Full-time
Senior Machine Learning Engineer
Remitly
Burnaby, BC
Full-time
AI and Data - Data Architect (MS Fabric)
EY
Vancouver, BC
Full-time
We are seeking a Manager – Data Architect to join our AI & Data practice. This role is focused on designing and delivering age
Senior Data Scientist
Wenco (a Hitachi Construction Machinery subsidiary)
Richmond, BC
We are seeking a skilled and analytical Data Scientist to joi
AI and Data - Data Architect (MS Fabric)
EY
Vancouver, BC
We are seeking a Manager – Data Architect to join our AI & Data practice. This role is focused on designing and delivering age
Senior Machine Learning Engineer - News, Books, and Stocks Team
Apple
Vancouver, BC
Staff Machine Learning Engineer - News, Books, and Stocks Team
Apple
Vancouver, BC
Senior Machine Learning Engineer
Vancity
Vancouver, BC
Full-time
Data Scientist, ADE Analytics
Amazon
Vancouver, BC
As a Data Scientist on our team, you'll work with complex data, develop statis
Data Scientist
CMHC - SCHL
Vancouver, BC
Data Scientist, ADE Analytics
Amazon Science
Vancouver, BC
Full-time
As a Data Scientist on our team, you'll work with complex data, d
Data Scientist II
Insurance Corporation of British Columbia
North Vancouver, BC
Lead Data Scientist
Sixone
Burnaby, British Columbia
Full-time
Machine Learning Engineer
Sanctuary AI
Vancouver, British Columbia
Full-time
…Engineers to join our team of seasoned engineers, researchers, and scientists who are dedicated to tackling fundamental challenges in robotic perception, dexterous manipulation, planning,…
Data Scientist, Investment Data
Connor, Clark & Lunn Investment Management (CC&L)
Vancouver, British Columbia
Full-time
We are looking for a Data Scientist to join our Quantitative Equity Team! We are a high-performance team embedded in a top-performing quant fund that manages over $75 billion in financial…
Data Scientist, Product Analytics | Scientifique de données en analyse de produits
Meta
Vancouver, British Columbia
As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger,…
Data Scientist II
Scribd, Inc.
Vancouver, BC
Full-time
Bilingual Data Scientist II
CMHC - SCHL
Vancouver, BC
Junior Geoscientist / Geochemist / Data Scientist
WSP
Vancouver, BC
Machine Learning Engineer
Clio
Burnaby, BC · Vancouver, BC
Full-time
Machine Learning Engineer , Amazon Customer Service
Amazon
Vancouver, British Columbia
We are looking for a Machine Learning Engineer on the Data Intelligence team which is part of Amazon Customer Service (CS) team, you will design and build robust, scalable AI/ML systems and…
Data Scientist II
Mastercard
Vancouver, British Columbia
Full-time

Clio

Machine Learning Engineer

Calgary, AB, Canada
Burnaby, BC, Canada
Vancouver, BC, Canada
Toronto, ON, Canada

Full-time

Apply About employer

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At a glance

Automatically prepared from the listing. Check the original description for the full requirements.

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Responsibilities

Develop advanced machine learning and LLM-based solutions to improve customer experience and operational efficiency. Collaborate cross-functionally with engineering, product, and data science teams in an agile environment.

Requirements

Requires hands-on experience in model development, specifically with NLP, transformers, and agentic frameworks. Candidates should be proficient in handling complex unstructured datasets and working with commercial LLM APIs.

Experience

2 to 5 years

Working hours

40 hours per week

Job type

Full-time

Work arrangement

Hybrid

Days in the office

Skills

Machine Learning
Natural Language Processing
Transformer-based Models
Large Language Models
Data Manipulation
Agentic Frameworks
Python
MLOps
Model Development
Data Preprocessing

Benefits

Health Insurance
Dental Insurance
Vision Insurance
Flexible Time Off
Counseling Benefit
RRSP Matching
RESP Contribution
Clioversary Recognition Program

Minimum pay

$129,200

Maximum pay

$174,800

Pay currency

CAD

Pay period

YEAR

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
NLP
GenAI
LLM
Transformers
Agentic Frameworks
ChatGPT
Gemini
MLOps
Agile
Unstructured Data
Legal AI
SaaS
Data Science
Model Development

Original job description

Clio is the global leader in legal AI technology, empowering legal professionals and law firms of every size to work smarter, faster, and more securely.

We are transforming the legal experience for all by bettering the lives of legal professionals while increasing access to justice.

Summary:

We are currently seeking a Machine Learning Engineer to join our rapidly growing engineering team. This role is for someone who is passionate about building innovative solutions and being exposed to new challenges and technologies while making an impact.

This role is available to candidates across Canada (excluding Quebec). If you are local to one of our hubs (Burnaby, Calgary, or Toronto) you will be expected to be in office minimum twice per week on one of our Anchor Days.

What your team does:

We at Clio have an amazing team that is on a mission to transform the legal experience for all, and our engineering team’s goal is to deliver an incredible experience to our customers. In the AI team in Clio, we use the latest technology in the space of NLP and GenAI to provide our customers with solutions to make their work more streamlined and efficient allowing them to have more time to focus on their clients’ needs.

A day in the life might look like:

Develop advanced machine learning models using structured and unstructured data to improve Clio’s customer’s experience
Create LLMs based solutions to help Clio’s clients to save time and create efficiencies
Collaborate cross-functionally with engineering, product management, operations and data science to identify new ML-driven features for Clio customers
Work in an agile environment with our team of machine learning engineers, MLOps engineering and full stack developers across a variety of projects

What you may have:

Hands-on experience in model development, particularly with traditional machine learning, NLP, and transformer-based models;
Proficiency in data manipulation, cleaning, and preprocessing for complex unstructured datasets;
Experience with agentic frameworks and workflows
Experience working with open-source LLM foundation models and APIs for commercial LLMs, such as ChatGPT or Gemini;
A proven ability to quickly learn new technologies and adapt to a dynamic, fast-paced environment with distributed teams and customers;
A portfolio of past projects showcasing your successes, challenges, and growth as a machine learning expert;
Exceptional communication skills and the ability to build trust with both internal teams and external customers;
A strong desire to continuously learn, challenge yourself, and refine your craft as a machine learning engineer.

This posting is for an existing vacancy.

What you will find here:

Compensation is one of the main components of Clio’s Total Rewards Program. We have developed a series of programs and processes to ensure we are creating fair and competitive pay practices that form the foundation of our human and high-performing culture.

Some highlights of our Total Rewards program include:

Competitive, equitable salary with top-tier health benefits, dental, and vision insurance
Hybrid work environment, with expectation for local Clions (Vancouver, Calgary, Toronto, Dublin, London, New York City and Sydney) to be in office min. twice per week.
Flexible time off policy, with an encouraged 20 days off per year.
$2000 annual counseling benefit
RRSP matching and RESP contribution
Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years

The expected salary range for this role is $129,200 to $174,800 CAD. Initial placement within the range is informed by geographic region, experience, and skillset, with room to progress as impact and tenure grow. Final offer amounts will vary based on candidate profile.

Diversity, Inclusion, Belonging and Equity (DIBE) & Accessibility

Our team shows up as their authentic selves, and are united by our mission. We are dedicated to diversity, equity and inclusion. We pride ourselves in building and fostering an environment where our teams feel included, valued, and enabled to do the best work of their careers, wherever they choose to log in from. We believe that different perspectives, skills, backgrounds, and experiences result in higher-performing teams and better innovation. We are committed to equal employment and we encourage candidates from all backgrounds to apply.

Clio provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.

Learn more about our culture at clio.com/careers

We're a Human and High Performing AI company, meaning we use artificial intelligence to improve all of our operations. In recruitment, AI helps us streamline the process for greater efficiency. However, we've built our systems to ensure that a human always reviews AI-generated output, and we never make automated hiring decisions.

Disclaimer: We only communicate with candidates through official @clio.com email addresses.

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