Data Scientist Jobs in British Columbia, Canada

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.

Data Science Team at Targeted Talent builds predictive models to optimize supply and demand for a global enterprise product. The Junior to Intermediate Data Scientist develops high‑quality machine learning models, extracts and manipulates data from SQL and NoSQL stores, and tackles logistical challenges to improve service profitability.

Data Science team at a Vancouver‑based fintech client builds predictive models and data pipelines to drive financial product insights. The Data Scientist will design and implement analytics solutions using R, Spark, and cloud services, collaborate with engineering to integrate data engineering workflows, and mentor junior staff.

Analytics team at Canada Mortgage and Housing Corporation (CMHC) builds advanced analytics solutions to inform decision‑making and enhance risk management for Canada’s housing system. The Data Scientist designs and implements predictive models, NLP, deep‑learning and other advanced techniques, prepares large datasets, and communicates insights to senior leaders.

Enterprise Optimization, Data & Insights team at BC Ferries leverages data to enhance transportation networks across British Columbia. The Data Scientist builds production-ready machine learning models, AI prototypes, and predictive analytics to improve operational performance and customer experience.

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.

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.

Data Science team at Recruiting From Scratch builds next‑generation forecasting models that power revenue planning across multiple product lines. The role designs, trains, deploys and monitors machine‑learning solutions for short‑ and long‑term sales forecasts, creates self‑service tools for real‑time decision making, and translates model insights into strategic recommendations.

R&D - ML team at Variational AI accelerates drug discovery by building generative AI models for molecular design. The Chemical Data Scientist curates and cleans large chemical datasets, creates data loaders and featurizations, and applies cheminformatics techniques to support ML pipelines.

Launch Potato's Marketing Data Science team drives revenue growth by building end-to-end adtech models for priority verticals. The Staff Data Scientist owns the full data science engine—from problem definition with stakeholders to model deployment and performance monitoring—focusing on insurance and advertiser quality to maximize ROAS.

Launch Potato's AdTech team drives data-driven advertising solutions across its digital media brands. The Lead Data Scientist owns the end‑to‑end data science engine for verticals like Insurance, building, deploying and monitoring ML models that optimize ROAS and lead quality.

AI/ML Engineering team at Mphasis focuses on delivering AI-driven data solutions for enterprise clients. The Lead Data Scientist will design and implement robust analytical assets, leveraging Python, SQL, Git, and LLM‑assisted workflows to solve complex business problems.

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 Science team at Targeted Talent builds advanced analytics solutions for a fintech client. The Senior Data Scientist designs and implements data pipelines, models, and insights using R, SQL, and big data technologies.

Fusion Systems team at Helion builds the data and knowledge foundation enabling engineers to understand, operate, and improve fusion power plants. The role develops structured datasets, ontologies, and AI‑enabled tools, designs data pipelines, and prototypes decision‑support workflows for anomaly detection and operational reporting.

Helion's Plasma Diagnostics team advances fusion energy by developing synthetic diagnostic models that translate experimental signals into actionable plasma insights. The Senior Plasma Data Scientist builds and validates physics‑grounded ML frameworks, integrates them with simulation and diagnostic pipelines, and collaborates with plasma‑physics and pulsed‑power experts to enhance model fidelity.

Helion's Experimental Science team drives fusion energy breakthroughs by developing physics‑grounded machine learning models for plasma dynamics. The Principal Plasma Data Scientist creates and validates advanced ML frameworks such as differentiable physics, PINNs, and surrogate models, integrates them with simulation and diagnostic pipelines, and collaborates with plasma‑physics and pulsed‑power experts to inform experimental design.

Data & Analytics team at Binance.US builds advanced risk models to protect user funds and combat financial crime. The Senior Data Scientist develops ML‑based fraud and risk models, designs A/B experiments, creates risk signals, and leads technical initiatives across Risk, Compliance, Marketing, and Product.

Alexa Daily Essentials team builds core Alexa experiences for daily life, including timers, alarms, calendars, food, and news. As a Data Scientist you will analyze complex data, develop statistical models, and create scalable data pipelines to drive product insights and improve customer experiences.

AI & Data for Engineered Biologics team at Amgen’s Large Molecule Discovery (LMD) builds computational pipelines that fuse physics‑based molecular simulations with machine learning to accelerate biologics design. The Sr. Data Scientist designs and runs advanced MD simulations, develops integrated ML models, mentors junior scientists, and collaborates with structural biology and protein engineering to translate insights into experimental priorities.