Data Scientist Jobs in Canada

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.

BDC seeks a Data Scientist to develop advanced analytics and machine learning solutions that drive data-informed decisions across the organization. The role transforms complex data into actionable insights through statistical modeling, predictive analytics, and experimentation, partnering with business stakeholders, data engineers, and AI engineers.

Canadian Tire seeks a Data Scientist to join its Triangle Data Products team. The role focuses on building and refining machine learning models that power personalized offers, customer propensity predictions, and next‑best‑product recommendations for millions of loyalty members.

Interac seeks a Data Scientist to join its Fraud Analytics & Countermeasures team in Toronto. The role involves collaborating with product owners and developers to design, deploy, and refine fraud detection solutions across the company’s ecosystem.

Fox Broadcasting seeks a Data Scientist to enhance its ad technology platform, AdRise, by leveraging large-scale advertising data. The role involves designing A/B tests, developing KPIs, and building predictive models to optimize ad delivery across streaming and linear channels.

Data Scientist at Canadian Tire responsible for developing and deploying machine learning models to drive personalized offers, customer propensity, and next‑best‑product recommendations. Analyze and clean large datasets, build prototypes, run experiments, and evaluate model performance.

Data Scientist at Pratt & Whitney Canada, responsible for end-to-end data science solutions, model development, feature engineering, cloud platforms, NLP, and collaboration across teams.

Data Scientist at Royal Bank of Canada’s Data & Analytics team. Designs and deploys ML and statistical models on large enterprise datasets, collaborates with data engineers and business partners to extract insights, validate model performance, and communicate findings through visualizations.

Data Scientist at AmpleInsightInc will join a world‑class team of engineers and data scientists from industry leaders such as Facebook, Uber, Amazon, and Google. Based in Toronto, the role focuses on building and deploying machine learning models that drive business insights for a diverse client base ranging from early‑stage startups to Fortune 500 companies.

Momentum Financial Services Group seeks a Data Scientist to build predictive models for credit risk, fraud detection, marketing optimization, and customer segmentation. The role involves designing, validating, and deploying scalable machine learning solutions, performing feature engineering on large datasets, and collaborating with data engineers, product, risk, and business stakeholders.

Supply Chain Optimisation team at Ciena applies advanced analytics to global supply chain challenges, driving cost, service performance, and sustainability. The Data Scientist designs optimization models, develops machine learning and statistical solutions, and builds dashboards to translate insights for stakeholders.

Data Scientist role at Geotab in Oakville, Ontario. Design and build data models, create predictive ML models, generate queries from BigQuery, develop ML packages (Scikit-learn, Tensorflow), test performance, maintain dashboards, collaborate with internal teams.

Geospatial Analytics team at TD’s Analytics, Insights & Artificial Intelligence (AI2) builds data‑driven solutions for branch network optimization. The Data Scientist II designs, builds, and deploys advanced geospatial analytics using Python, Databricks, and ArcGIS to translate complex business questions into actionable insights.

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.

Data Scientist Sanofi Apply Now on Workday Raw Job Data: This page contains the complete JSON response from the Workday API for this job posting. You can copy the JSON data below for analysis or processing.

Lever builds modern recruiting software for teams to source, interview, and hire top talent. The Data Scientist role is part of the Engineering – Data Science team in Toronto, working with a company that has raised $73M, participated in Y Combinator, and serves major clients such as Netflix, Eventbrite, and ClearSlide.

Data Scientist at Sanofi’s Digital Commercial team will lead AI and GenAI initiatives across global business units. The role involves designing, developing, and deploying scalable AI solutions, collaborating with product owners, stakeholders, and engineering teams to deliver measurable business value.

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.

Stripe’s Data Science team partners with Product, Finance, Payments, Security, Risk, Growth, and Go‑to‑Market teams to build machine learning, statistical, and causal models that drive product and business decisions. Data scientists analyze large datasets, design experiments, and optimize systems to improve fraud prevention, charge flows, forecasting, and marketing ROI. They translate complex analyses into actionable insights for stakeholders, manage multiple projects, and collaborate cross‑functionally to deliver measurable impact.

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.