Vancouver Bc Data scientist, private brand analytics Jobs – 107 Openings This Week

Data Scientist
Royal Bank of Canada —Vancouver, BC
- Full-time
- Doctoral degree
- Computer Science
- Research
Senior Applied Machine Learning Scientist
ThoughtExchange —Vancouver, BC
- $141,848–$157,609 a year
- Remote
- Doctoral degree
- System design
- Master's degree
- Paid time off
7h
Machine Learning Engineer
MobSquad —Vancouver, BC
- Full-time
- Doctoral degree
- Computer Science
- Engineering
- Dental care
- Vision care
Computer Vision and Machine Learning Researcher
Angstrom Vision —North Vancouver, BC
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
- Paid time off
- Paid sick leave
Director of Enforcement
Impark Canada —Vancouver, BC
- $100,000–$120,000 a year
- Weekends as needed
- Hybrid work
- Bachelor's
- Team management
- Travel
- Disability insurance
- Dental care
Quick apply
13h
Principal Engineer, AI & ML Solutions
Royal Bank of Canada —Vancouver, BC
- Full-time
- APIs
- AI
- Python
Senior Operations Data Analyst (Hybrid)
Kardium Inc. —Burnaby, BC
- $90,000–$125,000 a year
- Hybrid work
- Microsoft Excel
- Engineering
- ERP systems
- Dental care
Quick apply
Marketing Advisor
Surbana Jurong Private Limited —Vancouver, BC
- Full-time
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
Software Development Engineer (Full Stack) - Evisort AI
Workday —Vancouver, BC
- $112,000–$168,000 a year
- Full-time
- DevOps
- Java
- AWS
Staff Machine Learning Research Developer
D-Wave Quantum Inc. —Burnaby, BC
- Full-time
- Hybrid work
- Doctoral degree
- Master's degree
- C++
Quick apply
Engineering Manager, Machine Learning Platform and Infrastructure
DarkVision —North Vancouver, BC
- $150,000–$200,000 a year
- Computer Science
- DevOps
- Engineering
AI Application Developer
Fortinet —Burnaby, BC
- $107,000–$179,000 a year
- Full-time
- Computer Science
- DevOps
- Engineering
- Disability insurance
- Dental care
Intermediate Mining Data Analyst
MineSense —Vancouver, BC
- $90,000–$110,000 a year
- Full-time
- Hybrid work
- Spanish
- Engineering
- Data analysis skills
- Employee assistance program
Quick apply
Manager, US Corporate Tax
KPMG —Vancouver, BC
- $85,500–$128,500 a year
- Full-time
- Microsoft Excel
- Management
- Project management
14d
Senior Financial Data Analyst
Lululemon —Vancouver, BC
- $81,500–$122,300 a year
- Full-time
- Microsoft Excel
- Oracle
- Engineering
- Dental care
- Paid time off
Sr Software Development Engineer (Full Stack) - Evisort AI
Workday —Vancouver, BC
- $140,000–$210,000 a year
- Full-time
- DevOps
- Java
- AWS
Summer Position - Data Analyst
First Nations Financial Management Board —Vancouver, BC
- $25 an hour
- Part-time
- Data analysis skills
- English
- SQL
- Flexible schedule
Quick apply
9d
SAP Security Associate Manager/Manager
Accenture —Vancouver, BC
- $90,850–$140,850 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- Engineering
4h
Adversarial Machine Learning Engineer
C-Serv —Vancouver, BC
- Research
- Databases
- APIs
- Life insurance
Quick apply
Staff, Machine Learning Engineer
Fullscript —Vancouver, BC
- Full-time
- Remote
- Engineering
- SQL
- Machine learning
- Paid time off
Quick apply

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data scientist, private brand analytics jobs near vancouver bc

Data Scientist

Royal Bank of Canada -
Vancouver, BC

Apply Now

Job details

Full-time

Qualifications

Statistics
Doctoral degree
Computer Science
Applied Mathematics
Mathematics
Research
Master's degree
Machine learning
Version control systems
Natural language processing
Communication skills
Python

Full job description

Job Description

What is the opportunity?

RBC is a global leader in applying Artificial Intelligence (AI) in the banking sector in order to create value for our clients, with capabilities ranging from LLM-powered digital banking, boosting ensembles in fraud detection and AML, voice assistants in customer service, to algorithmic trading in capital markets. A failure to effectively prepare for and manage emerging model risk related to AI would subject RBC to financial, regulatory, and reputational risks and, as a result, RBC would not be able to provide its clients with the best quality service. Therefore, the AI validation team within RBC’s Enterprise Model Risk Management (RBC Group Risk Management) is tasked with overseeing, assessing, and managing the model risk that may arise from these AI capabilities.

The AI validation team uses machine learning, statistical, and computational strategies to assess model risk. In doing so, RBC is able to identify model weaknesses early and enhance the reliability of production models across all lines of business.

What will you do?

Application: You will have the opportunity to work in any of the many areas we work in, across an even wider variety of business functions, such as the following:

Types of Models

Classification, regression, anomaly detection, natural language processing, computer vision, reinforcement learning, recommendation systems, dimensionality reduction, Large Language Models including generative AI

Business Functions

Internal Audit, Cybersecurity, Fraud Management, Anti-Money Laundering, Insurance, Credit Risk, Technology Operations, Identity & Access Management, Human Resources

Validation: Your role is to challenge models and identify risks associated with their use – both conceptually and empirically. To that end, you will design and execute validation frameworks, exploring modelling considerations such as conceptual soundness, data processing, metric reproducibility & stability, benchmarking, robustness, uncertainty quantification, fairness, privacy, explainability, implementation controls and more. You will also have the freedom to explore ideas that interest you and build your own models and tools.

Research & Development: You will read research papers (established work and state-of-the-art) to enhance how our team validates models and contribute to our knowledge pool. You are encouraged to apply what you’ve learned to real-world problems, develop reusable software packages, and share your insights with others.

IT: You will collaborate with cross-functional stakeholders to establish and promote best-practices related to MLOps, tooling and IT infrastructure.

Governance: You will work with model developers (data scientists, researchers, engineers) and business stakeholders to inventory applications of AI and machine learning at the bank, determine their materiality, and assess whether they require review.

What do you need to succeed?

Must-have

Passionate about learning and staying up-to-date with research and technology
Strong communication and interpersonal skills
Progress towards a PhD or Master’s degree in Statistics, Computer Science, Applied Mathematics, Econometrics, Engineering, Quantitative Finance, or a related quantitative field
Proficient programming skills in Python or a similar language; you should already be comfortable with writing research experiments and be willing to learn how to write clean code.
Familiarity with popular machine learning frameworks and libraries

Nice-to-have

A risk-oriented mindset: You are curious about the “how” as well as the “why"
Publication or prior research experience (applied or fundamental)
Experience with version control systems
Comfortable with command line tools

What’s in it for you?

As a team, we thrive on the challenge to be our best, encourage progressive thinking for continued growth, and collaborate with one another to deliver trusted advice to help our clients thrive and our communities prosper. We respect and care about all of our team members and support one another in reaching our fullest potential. We work together to make a difference in our communities and to achieve success that is mutual.

This opportunity will provide you with:

Leaders who support your development through coaching and managing opportunities
Flexibility to work on projects that you are passionate about
Ability to make a difference and lasting impact
Work in a dynamic, collaborative, progressive, and high-performing team
Opportunities to do challenging work and make a difference
Opportunities to build close relationships

#LI-POST
#TECHPJ

Job Skills

Client Counseling, Communication, Critical Thinking, Financial Instruments, Group Problem Solving, Investment Risk Management, Market Risk, Quantitative Methods, Risk Management

Additional Job Details

Address:

ROYAL BANK PLAZA, 200 BAY ST:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

GROUP RISK MANAGEMENT

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-03-16

Application Deadline:

2026-06-30

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

Apply Now

Refine Your Search

data scientist, private brand analytics jobs in vancouver bc

Data Scientist

Senior Applied Machine Learning Scientist

Machine Learning Engineer

Computer Vision and Machine Learning Researcher

Director of Enforcement

Principal Engineer, AI & ML Solutions

Senior Operations Data Analyst (Hybrid)

Marketing Advisor

Software Development Engineer (Full Stack) - Evisort AI

Staff Machine Learning Research Developer

Engineering Manager, Machine Learning Platform and Infrastructure

AI Application Developer

Intermediate Mining Data Analyst

Manager, US Corporate Tax

Senior Financial Data Analyst

Sr Software Development Engineer (Full Stack) - Evisort AI

Summer Position - Data Analyst

SAP Security Associate Manager/Manager

Adversarial Machine Learning Engineer

Staff, Machine Learning Engineer

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