AI-Driven Customised Reporting Intern

Pictet Group; Genf; On-site; CHF 20,000 - 27,000; Full time

Benefits offered by this job

Equal opportunity employer

Job summary

Pictet Group is seeking an EPFL master’s student for a 12‑month academic internship in Geneva. You will join the Customised Reporting team to transform manual reporting into AI‑enabled, scalable solutions and gain hands‑on experience with data extraction, automation and end‑to‑end reporting processes.

You will collaborate across data teams and the Customised Solutions unit, applying Python, AI concepts and modern tooling to reduce manual workloads and support risk‑aware, compliant reporting

Qualifications

• EPFL master’s student in final year or eligible for a 12‑month academic internship.
• Strong programming in Python and data handling skills.
• Experience with AI concepts such as LLMs, retrieval augmented generation or model evaluation.

Responsibilities

• Map end‑to‑end customised reporting production model including data flows, tools, controls and risks.
• Identify opportunities to automate data aggregation, validation and reporting workflows.
• Collaborate with data teams to design AI‑enabled reporting solutions aligned with architecture and governance.
• Develop, test and implement practical AI‑enabled data extraction and reporting solutions.
• Create robust End User Computing capabilities with documentation and maintainability in mind.
• Deliver tools, a roadmap, procedures and user guidance with a structured handover and academic report.

Skills

Python programming

Data manipulation

Data visualization

Workflow automation

Applied AI

Education

EPFL Master’s student

Tools

GitHub

Snowflake

Microsoft Copilot

Job description

Pictet Group is seeking an EPFL master’s student for a 12‑month academic internship in Geneva. You will join the Customised Reporting team to transform manual reporting into AI‑enabled, scalable solutions and gain hands‑on experience with data extraction, automation and end‑to‑end reporting processes.

You will collaborate across data teams and the Customised Solutions unit, applying Python, AI concepts and modern tooling to reduce manual workloads and support risk‑aware, compliant reporting