Data Scientist Jobs in British Columbia, Canada

Acquisition and Performance Marketing team at Autodesk builds statistical models and measurement frameworks to optimize revenue across the customer lifecycle. The Data Scientist develops predictive and forecasting models, designs experiments, and translates insights into actionable recommendations for senior leaders.

Engineering – Data Science at Warner Music Group builds data-driven insights that power artist growth and fan engagement. The Data Scientist translates billions of streaming signals into predictive models for audience behavior, commercial performance, and marketing impact, collaborating with affiliates, labels, and merchandising teams.

Applied Research team at Scribd, Inc. builds AI and ML solutions for content enrichment, recommendations, search and more across billions of interactions. The Data Scientist II designs, implements and deploys classification models, LLMs and generative AI pipelines, processes massive data with Python, SQL and Spark, and collaborates with engineers and product partners.

Strategy and Analytics Department at Jobber builds data tools and insights that empower small businesses and guide company strategy. The Data Scientist designs and maintains ML model validation frameworks, creates regression test suites for LLMs, and monitors production models for drift and performance, collaborating with senior data scientists, MLOps, and product teams.

AI Validation team within RBC’s Enterprise Model Risk Management builds and validates AI models across banking functions. The Data Scientist designs validation frameworks, benchmarks model robustness, and develops reusable tools to mitigate model risk.

Intact Digital, Data and Tech team launches a Data Scientist internship to transform complex data sets into actionable insights. The role focuses on coding, leveraging Python, NLP/LLM, and handling geomatics, telematics, textual and image data.

Data Scientist for Altus Labs, CRE innovation hub. Drive analytics, modeling, ML, AI to improve client investment and operations.

Product Analytics team at Meta builds data-driven insights for billions of users and businesses. The role develops hypotheses, applies statistical and machine learning methods, and partners with product and engineering to shape strategy and measure impact.

AI Validation Team within RBC's Enterprise Model Risk Management assesses and manages AI model risk across the bank. The Data Scientist validates LLM-based and traditional ML models, challenges their reliability, and develops tools and best practices for MLOps and model governance.

Security Solutions Data Science team at Mastercard builds AI/ML models for identity and risk solutions, enhancing transaction safety. The Data Scientist II designs and develops data science capabilities, including feature engineering, entity resolution, and scalable model workflows on Databricks and Spark, to improve merchant risk assessment during onboarding and monitoring.

Core Tech Private Brands Analytics (PBA) team builds central data infrastructure and forecasting platforms for Amazon Private Brands. The Data Scientist develops end‑to‑end ML pipelines on SageMaker, creates forecasting models, and evaluates model accuracy across business segments.

Alexa Daily Essentials team delivers critical Alexa experiences for daily life, from timers and alarms to kitchen guidance. As a Data Scientist you will analyze complex data, develop statistical models, build data pipelines and create visualizations to drive product decisions and scale solutions across the organization.

Data & AI team at Clio builds AI-driven legal tech solutions, empowering law firms with smarter, faster tools. The Data Scientist develops predictive models, conducts statistical analysis, and collaborates with product and marketing to turn business questions into data-driven insights, deploying ML and GenAI pipelines in production.

Quantitative Equity Team at Connor, Clark & Lunn Investment Management builds data products that power a top‑performing quant fund. The Data Scientist develops NER methods, knowledge graphs, and algorithms to integrate large proprietary data sources, collaborates with researchers and engineers, and supports production deployments.

RBC’s Enterprise Model Risk Management team seeks a Data Scientist to validate AI models across banking functions. The role involves designing validation frameworks, assessing model risk, and building reusable tools.

Boeing Vancouver’s Data Science team builds analytics for aviation software. As a Data Scientist, you’ll develop machine learning models, collaborate with consulting teams, and deliver insights to customers.

Data Scientist role in Boeing Vancouver’s 40‑person data science team. Hybrid work style based in Richmond, BC. Empower customer‑facing software with analytics, machine learning, statistics, and optimization.

Job Description: At Remitly, we believe everyone deserves the freedom to access, move, and manage their money wherever life takes them. Since 2011, we've tirelessly delivered on our promise to customers sending money globally, providing secure, simple, and reliable ways to manage their money, ensuring true peace of mind.

Data Scientist II at Remitly focuses on end‑to‑end data science projects, partnering with ML engineers, designing A/B tests, and translating insights into actionable business decisions.