ENVEI SAI: NOC-anchored skill alignment measurement for Canadian workforce - ON-1206

Genre de projet: Innovation
Discipline(s) souhaitée(s): Informatique, Sciences mathématiques, Affaires, Sciences sociales et humaines, Science économique
Entreprise: ENVEI Inc.
Durée du projet: 6 mois à 1 an
Date souhaitée de début: Dès que possible
Langue exigée: Flexible
Emplacement(s): Ottawa, ON, Canada
Nombre de postes: 2
Niveau de scolarité désiré: CollègeÉtudes de premier cycle/baccalauréatMaîtriseDoctoratRecherche postdoctoraleNouvelle diplômée/nouveau diplômé
Ouvert aux candidatures de personnes inscrites à un établissement à l’extérieur du Canada: No

Au sujet de l’entreprise: 

ENVEI Inc. is a Canadian workforce alignment measurement company building the infrastructure layer that post-secondary education has been missing for decades. We are developing two measurement instruments: the Skill Alignment Index (SAI), which quantifies how closely an individual professional's skills and experience align with real Canadian labour market requirements for a target occupation, and the Program Alignment Index (PAI), which measures how well an institution's curriculum covers the competencies employers actually demand.

Our measurement engine is deterministic and fully auditable: every score is traceable to its exact inputs, the NOC-anchored taxonomy version used, and the methodology version that produced it. No AI model produces a score, AI exclusively improves the quality of inputs to our transparent formula.

ENVEI operates as an independent infrastructure layer between education systems, skill acquisition and labor market data. We do not recommend careers, program closures, or training pathways. We quantify alignment. This neutrality is the foundation of our government engagement strategy, including an active engagement with Employment and Social Development Canada (ESDC) around Canada's Education and Labour Market Longitudinal Platform initiative.

Founded in 2024 and headquartered in Ottawa, ENVEI is building toward becoming Canada's neutral, standardized, audit-defensible workforce measurement standard.

Veuillez décrire le projet.: 

This project develops the foundational research and implementation framework for ENVEI's Skill Alignment Index (SAI) Canada's first NOC-anchored, deterministic, audit-defensible workforce alignment measurement instrument.

The primary goal is to produce validated, methodology-documented SAI scores for 30 high-demand Canadian occupations (NOC 2021), beginning with 15 occupations in the technology sector including Data Analyst (NOC 21211), Cybersecurity Specialist (NOC 21220), Software Engineer (NOC 21233), and AI/ML Specialist roles.

The intern will: (1) conduct systematic labour market analysis by extracting and structuring occupational competency data from the Canada Job Bank API, Lightcast, and Statistics Canada datasets for target NOC codes; (2) build and validate the ENVEI Alignment Taxonomy a structured, weighted competency framework mapping task statements, tool demand percentages, experience depth scales, and credential alignment multipliers to real employer requirements; (3) validate the SAI formula empirically by running the deterministic formula against pilot assessment data from real Canadian professionals and testing whether component weights produce scores that accurately reflect measurable labour market positioning; (4) produce a methodology whitepaper documenting taxonomy construction, data sources, validation procedures, confidence interval calculation, and limitations suitable for publication and government review.

Techniques: structured data collection from government APIs, NLP-assisted competency extraction (spaCy, Sentence-BERT), statistical validation of formula weights, and qualitative employer demand signal analysis.

Expertise ou compétences exigées: 

Required:
- Quantitative research methods and data analysis
- Labour market information literacy (NOC 2021, Job Bank, Statistics Canada)
- Python: pandas, numpy, statistical analysis
- SQL: PostgreSQL database querying
- Natural language processing: semantic similarity, entity recognition
- Technical writing: methodology-grade documentation

Strong Assets:
- Experience with Canadian LMI data (Statistics Canada, ESDC, Job Bank API)
- NOC 2021 framework familiarity
- REST API data collection (JSON)

- Index construction or psychometric measurement theory
- spaCy or Sentence-Transformers experience

Background in: Economics, Labour Economics, Data Science, Computer Science, I-O Psychology, Education Research, Public Policy, or Statistics preferred.