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Summer 2027 intern applying AI/ML to large-scale datasets, building analytics solutions and data pipelines for a global management consulting firm in Toronto.
Senior Consultant applying data science, AI, and analytics to healthcare and life sciences commercial challenges—building predictive models, supporting AI solutions, and delivering client-ready insights using Python, SQL, and ML techniques.
Data Scientist Intern developing and tuning AML/ATF transaction monitoring solutions using machine learning, network analysis, Python, and SQL at RBC's Global Risk Management group.
Data Scientist leveraging Python, AI/ML, and Azure to build predictive models and data pipelines, turning complex financial data into strategic business insights.
Senior Data Scientist at Libro Credit Union applying AI/ML and statistical techniques to large data assets for financial decision-making, model development, and strategic insights in collaboration with BI and research teams.
Senior Data Scientist at Valtech designing and building AI/ML models for segmentation, forecasting, and experimentation to drive business outcomes.
A Master's-level intern in Saint John building data pipelines in PyCharm, structuring historical quote data, and developing applied AI pricing models that adjust for market fluctuations.
Develops AI-driven predictive models and personalization tools to analyze audience behavior, forecast revenue, and optimize marketing campaigns for a government sports organization.
Own the full ML model lifecycle for credit and fraud risk decisions at a lease-to-own fintech, using Python, SQL, and structured-data ML algorithms to power credit approvals, line optimization, and loss forecasting.
The Data Scientist will work for a PE-backed AI consultancy to solve high-impact, technically complex problems using real-world AI and GenAI technologies.
Senior Data Scientist building predictive models and forecasting frameworks on Azure and Databricks to support workforce planning and economic analysis in the construction industry.
Develops and maintains formal ontologies using OWL 2 axioms and SPARQL, integrating LLM tools to automate pipelines while ensuring logical consistency and data quality in healthcare data.
Plymouth, MN, USA Full time R30967 At Polaris Inc., we have fun doing what we love by driving change and innovation. We empower employees to take on challenging assignments and roles with an elevated level of…
Data engineer consultant building data pipelines, ETL scripts, and ML-ready infrastructure using Google Cloud, Docker, Kubernetes, and Python within a DevOps culture at a consulting firm.
Design and maintain formal ontological architectures enabling cross-organizational data alignment for a healthcare supply chain platform, using OWL 2, SPARQL, knowledge graphs, and LLM-assisted ontology pipelines.
Builds and deploys predictive models to extract insights from complex datasets, collaborating with engineering teams to scale solutions for business impact.
Data Scientist at Avride designs and evaluates metrics for autonomous vehicle safety and performance using Python, SQL, and statistical methods, analyzing real-world and simulated driving data.
Lead a team of data scientists analyzing autonomous driving performance using simulation, real-world data, and statistical methods to guide safety and launch readiness decisions.
Translate sustainability science and GHG accounting standards into robust product logic on the Methodology team, collaborating closely with engineers and data scientists in a Python-based codebase.
Senior Data Scientist focused on growth analytics, partnering with cross-functional teams to derive data-driven insights, measure marketing ROI, and optimize strategies using SQL, Python, and AI-driven analytics to drive business outcomes for a global fintech platform.
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