Hybrid AI & Data Analytics Intern for Internal Audit

Toyota Motor Europe; Evere; Hybride; EUR 13 000 - 20 000; Temps partiel

Avantages offerts par ce poste

Flexible working hours

Hybrid working

Company restaurant

Sport facilities

Team building activities

Résumé du poste

Toyota Motor Europe invites applications for an AI & Data Analytics Intern within Internal Audit in Brussels (Evere). You will join our Brussels data/AI team and help develop AI-powered tools that enhance auditing with human review and governance.

You will build prototypes using Python, SQL, Snowflake and Streamlit, apply NLP for document analysis, prepare data, and test AI outputs while collaborating with auditors.

Qualifications

• Pursuing or recently completed degree in CS/Data Science/AI or related field.
• Fluent in English; strong communication.
• Knowledge of Python and SQL; understanding AI concepts.
• Interest in AI and data analytics applied to internal audit and risk.

Responsabilités

• Develop, test and document AI agent prototypes for Internal Audit with human review.
• Use large language models, APIs, NLP for document analysis and workflow automation.
• Build AI prototypes using Python, SQL and Snowflake/Streamlit.
• Prepare and validate data, define test scenarios, evaluate AI output quality.
• Collaborate with auditors and data colleagues to identify high-value AI use cases.
• Document requirements, architecture and results and present recommendations to stakeholders.

Connaissances

English fluency

AI & data analytics

Python

SQL

Analytical thinking

Team collaboration

Formation

Bachelor’s or Master’s degree in CS/DS/AI/IS/Engineering

Outils

Snowflake

Streamlit

Git/GitHub

APIs

Cloud platforms

Description du poste

Toyota Motor Europe invites applications for an AI & Data Analytics Intern within Internal Audit in Brussels (Evere). You will join our Brussels data/AI team and help develop AI-powered tools that enhance auditing with human review and governance.

You will build prototypes using Python, SQL, Snowflake and Streamlit, apply NLP for document analysis, prepare data, and test AI outputs while collaborating with auditors.