GenAI Data Analyst Intern - Hybrid (3-6 months)

GSK; Waver; Sur place; Plein temps

Description du poste

Internship Programme: Data Analytics - GenAI Data Analyst

Help us get ahead of disease together with our Internship Programme.

Eligibility

• Master’s degree in Data Analytics, Computer Science, Supply Chain, Business Analytics, Artificial Intelligence, or a related field, currently enrolled in Europe.
• English language proficiency.
• Knowledge of supply chain is a plus; solid SQL skill required.

Expected start date: September 2026.

Duration: 3 to 6 months.

Work arrangement: Hybrid.

Requisite: Internship must be mandatory and completed within the framework of the curriculum, with an agreement signed between GSK, the student and the educational institution.

Compensation

Belgian legal requirements: No salary paid; some expenses reimbursed.

Application deadline

Accepting applications until positions are filled.

What you will do

• Collect, structure, and curate business questions for GenAI model training.
• Maintain version logs and documentation for prompts, datasets, and agent improvements.
• Support training, testing, and evaluation of GenAI agents to ensure high-quality and reliable outputs.
• Collaborate with business and technical stakeholders to continuously improve agent relevance and performance.

Qualifications

• Understanding of SQL and basic to intermediate Python for data extraction, transformation, and quality checks.
• Hands‑on experience with BI or analytics tools such as Power BI or similar platforms.
• Basic understanding of Large Language Models (LLMs); interest in prompt design, GenAI tools or agent behavior evaluation.
• Understanding of data modeling, orchestration, pipelines, data quality and metadata principles.
• Strong collaboration and communication skills; ability to work across functions and geographies.