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Applied Mathematics Computer Science Jobs in British Columbia

Vancity

Machine Learning Engineer Lead

Toronto, ON · Remote

... Science, Applied AI, Software Engineering, or related disciplines * Bachelor's or Master's degree in Computer Science, Software Engineering, Mathematics, Statistics, or a related quantitative field

Vancity

Machine Learning Engineer Lead

Vancouver, BC · Remote

... Science, Applied AI, Software Engineering, or related disciplines * Bachelor's or Master's degree in Computer Science, Software Engineering, Mathematics, Statistics, or a related quantitative field

IntraEdge

Software Architect

New Westminster, BC · On-site

Bachelor's degree in Computer Science, Computer Systems Engineering, Software Engineering or Mathematics. Experience in Software Architectures, systems integrations, enterprise application ...

Workday, Inc.

Machine Learning Engineer

Vancouver, BC · On-site

... computer science, physics, math or equivalent * 3+ yrs experience as a member of a data science, machine learning engineering, or other relevant software development team building applied machine ...

lululemon

Senior AI/ML Engineer

Vancouver, BC · On-site

In this role, you will own technical delivery and partner with applied scientists, software ... in computer science, machine learning, or related technical field; Master's or equivalent ...

IntraEdge

Software Architect

New Westminster, BC · On-site

Bachelor's degree in Computer Science, Computer Systems Engineering, Software Engineering or Mathematics. Experience in Software Architectures, systems integrations, enterprise application ...

ProCogia

Statistical Programming Intern

Vancouver, BC · On-site

Currently enrolled in a university program in third year or above in Applied Statistics, Data Science, Biostatistics, Bioinformatics, Statistics, Computer Science, Mathematics, or a closely related ...

Fortinet, Inc.

Project Manager (Hardware)

Burnaby, BC · On-site

CA$80K - CA$110K/yr

Bachelors degree in engineering/applied science/computer science or related field * Proven experience and ability in successful interface with various management levels internal and external ...

Fortinet

Project Manager (Hardware)

Burnaby, BC · On-site

CA$80K - CA$110K/yr

Bachelors degree in engineering/applied science/computer science or related field * Proven experience and ability in successful interface with various management levels internal and external ...

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All JobsApplied Mathematics Computer Science JobsApplied Mathematics Computer Science Jobs in British Columbia

Applied Mathematics Computer Science information

What is the difference between Applied Mathematics Computer Science vs Data Analyst?

AspectApplied Mathematics Computer ScienceData Analyst
Required CredentialsBachelor's or higher in applied math, computer science, or related fieldsBachelor's degree in statistics, mathematics, or related fields
Work EnvironmentResearch labs, tech companies, academiaBusiness, finance, healthcare, and marketing sectors
Employer & Industry UsageTech firms, research institutions, universitiesCorporations, consulting firms, government agencies
Common Search & ComparisonApplied Mathematics Computer Science vs Data Analyst

Applied Mathematics Computer Science focuses on developing algorithms, modeling, and computational techniques, often requiring programming and mathematical skills. Data Analysts interpret data to provide insights, primarily using statistical tools. While both roles involve data and programming, Applied Mathematics Computer Science emphasizes algorithm development and complex modeling, whereas Data Analysts focus on data interpretation and reporting.

Is applied mathematics related to computer science?

Applied mathematics is closely related to computer science, as it provides foundational concepts such as algorithms, data analysis, and modeling that are essential in computing. Many computer science roles, including those in software development and data science, require strong mathematical skills and knowledge of mathematical tools like linear algebra and calculus.

What can I do with a degree in applied mathematics and computer science?

A degree in applied mathematics and computer science prepares individuals for roles such as data analyst, software developer, quantitative analyst, or systems engineer. These positions often require strong problem-solving skills, programming knowledge, and familiarity with tools like Python, R, or MATLAB, and may involve working in industries such as finance, technology, or research.

What can you do with a BS in applied mathematics computer science?

A BS in applied mathematics and computer science prepares graduates for roles such as data analyst, software developer, quantitative analyst, or systems analyst. These positions often require skills in programming, statistical analysis, and problem-solving, and may involve working with tools like Python, R, or SQL in various industries including finance, technology, and engineering.

What are popular job titles related to Applied Mathematics Computer Science jobs in British Columbia?

For Applied Mathematics Computer Science jobs in British Columbia, the most frequently searched job titles are:

What job categories do people searching Applied Mathematics Computer Science jobs in British Columbia look for?

The top searched job categories for Applied Mathematics Computer Science jobs in British Columbia are:

What cities in British Columbia are hiring for Applied Mathematics Computer Science jobs?

Cities in British Columbia with the most Applied Mathematics Computer Science job openings:

Applied Mathematics Computer Science jobs near you
Infographic showing various Applied Mathematics Computer Science job openings in British Columbia as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, 2% Contract, and 1% Nights. Highlights an 73% Physical, 2% Hybrid, and 25% Remote job distribution.

Machine Learning Engineer Lead

Toronto, ON • Remote

Vancity
See more jobs at Vancityexternal

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 23 days ago

Job description

Our Story & Purpose:
We’re Vancity, a member-owned credit union built on the principles of inclusion and social justice. Since 1946, our relentless commitment to these values has helped us challenge the status quo and break down barriers. We’ve made bold commitments to become net-zero by 2040 across all mortgages and loans, and we’re actively pursuing strategies in Indigenous banking and financial resilience for our members.
 
As the largest private sector Living Wage Employer in Canada, we’re proud to be consistently recognized as one of the country’s Top Employers. If you’re ready to join our team of 2,700 diverse individuals, access competitive rewards and benefits, and be part of a greater movement - apply today!
 
Your Role in Supporting Our Members:
As a Machine Learning Engineer Lead, you will join our Data Science & AI Pod, focused on designing, building, and deploying enterprise-wide AI and machine learning solutions that support business decision-making, automation, and operational efficiency. This role is highly hands-on and best suited for an engineer who can design, build, deploy, and operationalize machine learning models in enterprise production environments. You will work across the full ML lifecycle, including model development, feature engineering, MLOps, deployment automation, monitoring, and continuous improvement of machine learning systems. Success in this role is measured by scalable, reliable, and production-ready machine learning solutions—not proof-of-concepts or experimentation alone
 
This is a Full-time, Permanent role and will report directly to the Manager, Data Science & AI. This position is remote and open to candidates located in British Columbia or Ontario. While this position provides a remote work arrangement, you will be expected to be on-site for events and business demands
 
How You'll Make an Impact:
  • Applying Data Science and Machine Learning best practices to develop robust models and support data-driven decision-making across business domains
  • Applying machine learning and data science techniques such as forecasting, predictive modeling, classification, regression, recommendation, and optimization to solve business problems
  • Conducting experiments and evaluating models using appropriate statistical, technical, and business performance metrics
  • Architecting, building, deploying, and maintaining scalable machine learning models and AI solutions integrated into enterprise systems, applications, and operational workflows
  • Designing and implementing end-to-end ML workflows, including data preparation, feature engineering, model training, validation, deployment, optimization, and continuous monitoring in a high-scale production environment
  • Developing reusable machine learning components, feature pipelines, and model-serving frameworks to support multiple use cases and teams
  • Designing and implementing production-grade MLOps solutions using Azure ML, Databricks, MLflow, and related cloud technologies
  • Building and maintaining automated ML pipelines, feature engineering workflows, feature store patterns, and deployment processes for training, testing, monitoring, and retraining machine learning models
  • Implementing standards and best practices for model versioning, lifecycle management, governance, deployment automation, model performance monitoring, drift detection, data quality, operational health, and retraining triggers
  • Developing production-quality Python code, APIs, automation workflows, and machine learning services to integrate ML capabilities into business applications and processes
What You’ll Bring to the Team:
  • 10+ years of experience in Machine Learning Engineering, Data Science, Applied AI, Software Engineering, or related disciplines
  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, Mathematics, Statistics, or a related quantitative field
  • Strong hands-on experience building and deploying cloud-based applications and machine learning services
  • Strong proficiency in Python and SQL, with solid software engineering fundamentals including data structures, algorithms, and object-oriented design
  • Hands-on experience with industry-standard machine learning and deep learning frameworks such as PyTorch, TensorFlow, and Scikit-learn
  • Proven experience productionizing machine learning models and operating scalable, reliable ML systems in enterprise environments
  • Hands-on experience with Azure Machine Learning, Databricks, MLflow, CI/CD pipelines, model lifecycle management, monitoring, and deployment automation
  • Strong understanding of API design and service integration, machine learning algorithms, statistical modeling, feature engineering, and model evaluation techniques
  • Proven ability to take solutions from prototype to production
Extra Skills That Set You Apart:
  • Exposure to machine learning use cases such as churn prediction, forecasting, predictive modeling, member or customer personalization, recommendation systems, marketing optimization, and experimentation frameworks such as A/B testing
  • Familiarity with advanced machine learning techniques including anomaly detection, graph neural networks, optimization methods, representation learning, causal inference, and Generative AI workflows
  • Experience integrating AI services into automation platforms such as UiPath or Power Automate and familiarity with AWS, GCP, Power BI, or Tableau
You’ll Thrive Here If You Are:
  • Production-Focused – You measure success by scalable, reliable, and production-ready machine learning solutions
  • Hands-On – You enjoy designing, building, deploying, and operationalizing machine learning solutions from end to end
  • Collaborative – You work effectively with data, platform, cloud, security, and business teams to deliver meaningful outcomes
  • Technically Curious – You continuously explore emerging technologies, machine learning techniques, and AI innovations
  • Quality-Driven – You prioritize engineering excellence, automation, testing, monitoring, and maintainable code
We value lived experience, so if you are interested in this role, we encourage you to apply even if you feel your skills don't perfectly align with those listed.
 
What You’ll Earn:
This role offers a salary range of $125,000.00 to $169,100 per annum. The base pay offered may vary depending on factors such as relevant qualifications, skills, previous experience, and internal equity. As part of our total rewards package, employees may also be eligible for our annual incentive program, subject to program eligibility requirements.
 
Why You’ll Love Working Here:
A career at Vancity is more than just a job, you’re joining a tradition of change-makers who are creating lasting change for our communities. Beyond base pay, we offer a comprehensive total rewards package to ensure our employees are empowered to thrive:
  • Living Wage Employer: We’re the largest private-sector Living Wage Employer in Canada and consistently ranked among Canada’s Top Employers
  • Customizable Benefits: Permanent employees receive flexible benefit packages that can be tailored annually to meet evolving needs
  • Generous Vacation: New employees start with 3-4 weeks of vacation per year, with additional days earned over time
  • Extra Stat Holidays: In addition to BC’s 11 statutory holidays, we offer 2 extra days, plus care days for personal or family illness
  • Immediate Health Coverage: Health and dental benefits begin on your hire date, with three levels of coverage to choose from
  • Defined Benefit Pension: Our retirement plan provides a guaranteed income for life, recognizing that retirement looks different for everyone
Vancity Talent Programs:
Vancity supports an inclusive hiring process for candidates who self-identify as Indigenous, Black, or Trans. With special permission from the BC Human Rights Commissioner, this initiative provides access to career development opportunities, prioritized job screening, and feedback. Any information you choose to share will be stored securely and used only for recruitment and career development connected to this initiative, in line with the BC Personal Information Protection Act (PIPA). For details, please see our dedicated Talent Programs job posting.
 
This role is an open vacancy, and our hiring process is grounded in fairness, transparency, and inclusion. We are committed to an inclusive, barrier-free and accessible recruitment experience for all candidates. If you require any accommodations or support at any stage of the recruitment process (including the application stage), we encourage you to let us know.
 
We’re here to work with you to ensure your needs are met promptly and effectively. All requests will be handled with the utmost respect and confidentiality, so you can participate fully in the process.

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