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AI Skills Assessment at Scale

Banking – AI skills ontology & assessment

Skills ontology, large-scale assessments, ML scoring and personalized learning pathways.

Skills made measurable

One ontology, automated scoring and learning paths tailored to each profile

Project Details

Client

Société Générale

Sector

Banking – AI skills ontology & assessment

Year

2025

Key Technologies
PythonML scoringSkills ontologyAI agents

Mission

Data Science Architect - AI Skills Assessment

AI skills ontology & assessment

Hybrid assignment with Photon, France. English.

Design of an AI skills assessment platform for Société Générale. Creation of a comprehensive ontology of skills, levels and frameworks by job. Development of automated assessments: questionnaires, coding tests and benchmarks specific to each job family. Implementation of machine learning models to automate scoring from a manual ground truth. Skills gap analysis and generation of individualized training recommendations. Deployment of a content curation system and personalized learning paths via chatbot and AI agents.

Contexte & Environnement

Large-scale AI skills transformation program. Ontology-based approach to map knowledge, skills and expectations by role, job and seniority. Multi-job coverage: data science, data analytics and other targeted functions. Hybrid setup combining manual reference assessment, automated scoring and personalized recommendations.

Team

Data Science Architect, with Photon

Environment

Hybrid, France, with Photon – skills ontology, ML scoring, chatbot and AI agents

Objectifs Cles

1Standardize AI skills assessment by job.
2Automate scoring with ML models trained on reference assessments.
3Identify individual and collective gaps through detailed analytics.
4Recommend targeted paths with courses, MOOCs and content tailored to each profile.
5Personalize the learning experience by position, seniority and user expectations.

Technologies & Infrastructure

PythonMachine LearningSkills ontologyCoding testsChatbotAI agents

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