Credit risk modelling data scientist developing and maintaining models for Desjardins. Guiding risk quantification, credit decisions, compliance, and practitioner - led modelling projects.
About the role
- Data Scientist structuring medical knowledge and evaluating AI-driven educational products for Lecturio, a global medical and nursing e-learning platform. Developing statistical validation frameworks and Knowledge Graph API integrations.
Responsibilities
- Formulate testable hypotheses regarding educational structures, conceptual relationships, and learning outcomes
- Design structured experiments to evaluate hypotheses rigorously
- Analyze domain data to determine optimal data structures
- Define semantic schemas and map complex medical content into structured knowledge representations
- Design validation methodologies, metrics, and quality benchmarks
- Measure the accuracy, logical consistency, and statistical validity of structured knowledge models against gold-standard medical guidelines
- Develop measurable indicators and control mechanisms to evaluate AI feature performance, reasoning quality, and failure modes
- Work with medical experts to validate extraction accuracy
- Partner with the platform engineering team to integrate the Knowledge Graph API into core product features
- Observe data patterns, formulate questions and hypotheses, conduct experiments, analyze data statistically, and draw conclusions
Requirements
- Strong background in statistical analysis, experimental design, and quantitative evaluation techniques
- Proven ability to analyze unstructured problems, perform systematic literature or data research, and derive actionable data-driven insights
- Strong understanding of structured data for machine consumption
- Knowledge of or willingness to learn graph database technologies such as Neo4j and Cypher
- Proficient in Python for data analysis, statistical computing, and rapid proof-of-concept validation
- Ability to communicate clearly and effectively in English, verbally and in writing
- Strong team player with a collaborative approach
- Proactive foresight in defining expected outcomes, timelines, and effort; ownership of achieving objectives
- Bachelor’s degree in Mathematics, Statistics, Computer Science, Economics or a similar program
- Demonstrated impact and scope in previous roles
- Ownership mindset
- Familiarity with medical terminologies and taxonomies such as MeSH, SNOMED, and ICD-10 (nice-to-have)
- Proven interest in Pedagogy, Learning Science, or Adaptive Learning Systems (nice-to-have)
- Previous experience defining or modeling relational data schemas (nice-to-have)
Benefits
- Flexible working hours and remote work
- Work-life balance
- Highly engaged, motivated, and professional Development team
- Comprehensive, structured HR and professional onboarding process with cross-departmental introductions and feedback sessions
- Free access to the complete Lecturio training platform for personal and professional development
- Free access to coaching sessions and other mental health benefits
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