Provides analytical support and information to aid planning, and decision-making activities for the AVPS Leadership Team, focusing on cross cutting student experience themes and progress towards the AVPS Mission, Vision, Values and the UBC Student Strategic Plan.
Compensation
$7,727.33 - $11,112.00 CAD Monthly
Responsibilities
Plan, design, and conduct major projects and studies on student experience themes
Capture, maintain, analyze and report on AVPS student engagement data, student learning outcomes, and satisfaction
Extract and synthesize data from university systems and databases for analysis
Develop and implement processes to evaluate, monitor and report on AVPS mission, vision, values and KPIs
Translate policy issues into meaningful research studies or reports for decision-making
Soutenir la recherche économique, l’analyse de politiques et la prise de décisions fondées sur des données à la Banque du Canada en appliquant la science des données, l’apprentissage automatique, l’IA et les méthodes quantitatives à des problèmes économiques et de recherche complexes.
Compensation
Le salaire se situe généralement entre 96 077$ et 113 032$, (niveau de poste 16) selon les compétences et l’expérience du candidat retenu. La Banque offre une prime pour les personnes qui répondent aux attentes avec succès de 5 à 7% du salaire de base individuel. La Banque offre une rémunération au rendement supplémentaire (3%) aux employés qui dépassent les attentes. Les employés qui fournissent un rendement exceptionnel dépassant largement les attentes peuvent être admissibles à une rémunération au rendement plus élevé.
Responsibilities
concevoir, développer, tester et mettre en œuvre des modèles statistiques, économétriques, d’apprentissage automatique et d’IA
développer des applications basées sur l’IA, des outils d’analytique, des composants réutilisables et des produits de données
appliquer les grands modèles de langage, l’IA générative et des approches d’IA émergentes à des cas d’utilisation pratiques
utiliser des données structurées et non structurées pour la modélisation et la recherche
collaborer avec des économistes, des chercheuses et chercheurs, des parties prenantes des secteurs d’activité et des équipes technologiques
Requirements
Maîtrise ou un doctorat en économie, en économétrie, en statistique, en mathématique, en science des données, en informatique ou dans une discipline quantitative connexe
Data Scientist, Economics & AI: Take a central role in supporting economic research, policy analysis, and data-driven decision-making at the Bank of Canada, applying data science, machine learning (ML), artificial intelligence (AI), and quantitative methods to challenging economic and research problems.
Compensation
Salaries are based on qualifications and experience and typically range from $96,077 to $113,032 (job grade 16). The Bank offers an incentive for successfully meeting expectations at 5 to 7% of your base salary. The Bank offers additional performance pay (3%) for those who exceed expectations.
Responsibilities
Designing, developing, testing, and implementing statistical, econometric, ML, and AI models to address economic, research, and policy questions.
Developing AI-enabled applications, analytical tools, reusable components, and data products that improve research, modelling, forecasting, and analytical workflows.
Applying LLMs, generative AI, and emerging AI approaches to practical research and analytical use cases, including prototyping, experimentation, evaluation, and implementation.
Working with structured and unstructured data, including preparing, transforming, validating, exploring, and analyzing datasets for modelling and research.
Collaborating with economists, researchers, business stakeholders, and technology teams to understand analytical needs and translate them into effective data science solutions.
Requirements
Master’s degree or higher in economics, econometrics, statistics, mathematics, data science, computer science, or a related quantitative discipline
Tenez un rôle central dans le département des Services des données et du numérique (SDN), en concevant et déployant des solutions de données et d’analytique de grande qualité pour soutenir les départements clients et les gammes de produits de la Banque du Canada.
Compensation
Le salaire se situe généralement entre 74 981$ et 88 213$, (niveau de poste 14) selon les compétences et l’expérience du candidat retenu.
La Banque offre une prime pour les personnes qui répondent aux attentes avec succès de 5 à 7% du salaire de base individuel. La Banque offre une rémunération au rendement supplémentaire (3%) aux employés qui dépassent les attentes. Les employés qui fournissent un rendement exceptionnel dépassant largement les attentes peuvent être admissibles à une rémunération au rendement plus élevée.
Responsibilities
concevoir et déployer des solutions de données et d’analytique de grande qualité
soutenir, améliorer et intégrer les solutions de données et d’analytique existantes
participer à la formulation de recommandations concernant la qualité des données et les solutions analytiques
collaborer avec les collègues et participer activement à l’application des méthodes Agile
Requirements
diplôme d’études collégiales ou universitaires en statistique, en mathématiques, en informatique, en économie ou dans une discipline connexe
Develop, deploy, and maintain data and analytic solutions for client departments and product lines within the Bank of Canada.
Compensation
Salaries are based on qualifications and experience and typically range from $74,981 to $88,213 (job grade 14). The Bank offers an incentive for successfully meeting expectations at 5 to 7% of your base salary. The Bank offers additional performance pay (3%) for those who exceed expectations.
Responsibilities
Develop and deploy high-quality data and analytic solutions for client departments or product lines
Support, enhance, and integrate existing data and analytical solutions
Contribute to recommendations for client departments on data quality and analytical solutions
Collaborate with colleagues and actively participate in agile practices and team ceremonies
Work closely with DDS, ITS and other partners within and outside the Bank to implement best practices, share knowledge and improve solutions
Requirements
College diploma or university degree in statistics, mathematics, computer science, economics or related field
Teaching Assistant, Course Coordinator and Lab Demonstrator positions for the MPHA 5P17: Artificial Intelligence: Theory & Managerial Applications course.
Compensation
Employees who do NOT hold a 4-year honours degree or a 3-year pass degree will be paid the undergraduate rate - $23.30 per hour. (Rate effective September 1, 2026)
Employees who hold a 4-year honours degree or a 3-year pass degree will be paid the graduate rate - $36.67 per hour. (Rate effective September 1, 2026)
Play a key role in demonstrating the measurable impact of digital advertising through advanced experimentation and data analytics, transforming complex, first-party data into actionable insights for leading consumer brands.
Locations (4)
Ontario, Canada
Alberta, Canada
British Columbia, Canada
Nova Scotia, Canada
Compensation
Annual base salary ranging from CA$118,000 to CA$124,500 for candidates based in Canada, depending on permanent work location, professional experience, and relevant skills.
Responsibilities
Design, develop, and deliver rigorous measurement studies, including A/B testing, holdout experiments, and incrementality analyses, to demonstrate the actual impact of advertising investments.
The Principal Programmer - RWD/EPI will play a key role in transforming real-world healthcare data into meaningful scientific evidence that supports critical decisions across the pharmaceutical and healthcare industries.
Compensation
Competitive compensation package based on qualifications and professional experience.
Responsibilities
Support epidemiology teams by preparing and processing real-world data, advising on analytical strategies, and contributing to a wide range of epidemiological research activities.
Contribute to the development of study protocols and statistical analysis plans using large real-world data sources, including healthcare claims databases and electronic health records (EHR).
Collaborate with external data vendors to identify, request, and obtain relevant data extracts for research studies, ensuring alignment with established study protocols and analytical requirements.
Design, develop, and maintain analytical databases from raw data extracts to facilitate accurate and efficient statistical analyses.
Perform statistical programming and analyses under the guidance of epidemiologists and statisticians, including data coding, algorithm development, dataset linkage, and implementation of appropriate statistical methods.
Requirements
Master's degree or PhD in Epidemiology, Biostatistics, Statistics, Bioinformatics, Economics, or another closely related quantitative discipline
Responsible for the revenue performance of the group segment, leading the development and execution of pricing and inventory management strategies to balance group and individual demand, maximize network revenue, and optimize overall contribution.
Responsibilities
Lead, engage, and develop a team of Group Revenue Management Analysts
Translate management's revenue management strategy into actionable plans and ensure successful execution
Deliver group revenue, contribution, conversion, materialization, and forecast accuracy objectives
Develop and implement pricing, inventory allocation, and group acceptance strategies by market, season, and departure date
Balance group and individual demand to maximize revenue and contribution while protecting future high-value demand
Teaching Assistant MPHA 5P17 Winter D5NewBrock University · St. Catharines, Canada
Measurement Science ManagerNewJobgether · Remote, Canada+3 more