Master's Thesis - AI & Automation Customised Reporting

Requisition
125195
-Posted
08/10/2026

- Switzerland

- Geneva
- Activity area (2)
- Students & Graduates

We are looking for an EPFL master’s student to join our four-person Customised Reporting team for a 12-month academic placement. The team produces highly bespoke investment reports and brings deep business expertise; you will complement this knowledge with strong engineering, automation and applied AI capabilities. Working closely with the Customised Solutions team and the relevant data teams, you will help transform a largely manual production model into robust, scalable and AI-enabled reporting solutions.

Your work will directly contribute to reducing manual workload, capacity constraints and operational risk, while helping the team adopt modern tools and ways of working.

• Map the end-to-end customised reporting production model, including effort, tools, data flows, controls, risks, dependencies and failure points.
• Identify, assess and prioritise opportunities to industrialise and automate data aggregation, validation and reporting workflows, including the additional complexity created by external bank data.
• Work with Customised Reporting, Customised Solutions and data teams to design solutions aligned with existing architecture, data governance, security and control requirements.
• Design, develop, test and implement practical solutions and AI-enabled use cases for data extraction, anomaly detection, commentary generation and report production.
• Build robust End User Computing capabilities that empower reporting specialists while ensuring appropriate documentation, controls and maintainability.
• Deliver working tools and prototypes, a prioritised roadmap, documented procedures, user guidance and team training, ensuring an effective handover and a structured academic report.

• EPFL student in the final year of a relevant master’s degree and eligible for a 12-month academic internship.
• Strong analytical, quantitative and problem-solving skills, with the ability to translate business needs into practical technical solutions.
• Solid programming experience in Python or an equivalent language, together with skills in data manipulation, visualisation and workflow automation.
• Practical knowledge of applied AI, including large language models, retrieval-augmented generation and model evaluation.
• An understanding of the End User Computing lifecycle and familiarity with Microsoft Copilot, Git Hub, Snowflake or cloud-based AI services would be advantageous.
• Curious, collaborative and hands-on, with the communication skills to work effectively across business and technology teams and support knowledge transfer.
• Knowledge of banking or investment reporting is welcome but not required.

This opportunity is intended for students completing a Master’s thesis required by their academic programme. Only candidates whose Master’s degree requires an internship are eligible to apply.

Location: Geneva
Team: PWM Customised Reporting
Start date: February / March 2027
Duration: 12 months (EPFL master’s internship)

We will not accept any CVs via agencies

Pictet is an equal opportunity employer and is committed to creating a diverse environment. We respect all individuals and seek their inclusion in the workplace.