Data & AI Intern: Insight-Driven Analytics & AI Tooling

Richemont; Plan-les-Ouates; On-site; CHF 20,000 - 27,000; Part time

Job summary

Richemont seeks a Data and AI Intern to support the Customer Service team, building insights on customer and after-sales service. You will enhance data structures, lead AI model implementations, and share best practices in data analytics across the team.

You will work on governance, QA, and tooling, with emphasis on Python/SQL and GCP knowledge, while collaborating with stakeholders in a multilingual environment.

Qualifications

• Master in data science, Engineering school focused on statistics and data modelling.
• Proficiency in Python, SQL, Excel.
• Knowledge in GCP; Looker is a plus.
• Strong analytical skills with the ability to interpret data and provide actionable recommendations.
• Excellent interpersonal and teamwork skills; fluent in French and English.

Responsibilities

• Data Governance & Quality: Implement data governance rules and monitor ingestion pipelines quality.
• Infrastructure overhaul: rebuild, migrate and improve databases on Google Cloud Platform (GCP).
• Automation: Design and deploy data engineering workflows.
• Optimization of Collaborative Tools – AI: Coordinate data sources powering the AI agent; ensure data quality.
• Optimization of Collaborative Tools – AI: Evaluate document data base structure and manage restructuring if needed.
• Optimization of Collaborative Tools – AI: Implement performance follow-up on the AI agent; design surveys for business users.
• AI Tool Design and Development: Support design and development of tools tailored to business needs.

Skills

Analytical skills

Problem solving

Teamwork

Communication

Autonomy

Education

Master in data science

Tools

Python

SQL

Excel

GCP

Looker

Job description

Richemont seeks a Data and AI Intern to support the Customer Service team, building insights on customer and after-sales service. You will enhance data structures, lead AI model implementations, and share best practices in data analytics across the team.

You will work on governance, QA, and tooling, with emphasis on Python/SQL and GCP knowledge, while collaborating with stakeholders in a multilingual environment.