Master's Thesis - AI & Automation for Customised Reporting (12 months contract)

Pictet; Genf; On-site; CHF 20,000 - 31,000; Full time

Job summary

Pictet in Geneva invites an EPFL master's student to join the Customised Reporting team for a 12-month academic placement. You will combine engineering, automation and AI skills to transform a largely manual reporting process into robust, scalable, AI-enabled solutions.

Collaborate with the Customised Solutions and data teams to design, build and test end-to-end data extraction, validation and automated reporting workflows, while documenting controls and handover.

Qualifications

• EPFL master’s student eligible for a 12-month internship.
• Strong analytical and problem-solving skills with ability to translate business needs into technical solutions.
• Solid programming experience in Python and data manipulation.
• Practical knowledge of applied AI including LLMs, retrieval-augmented generation and model evaluation.

Responsibilities

• Map end-to-end customised reporting production model, including data flows, controls and risks.
• Identify and prioritise automation opportunities for data aggregation and reporting workflows.
• Collaborate with data teams to align solutions with architecture and governance requirements.
• Design, develop, test and implement AI-enabled use cases for data extraction and report production.
• Build End User Computing capabilities with documentation, controls and maintainability.
• Deliver tools, roadmaps, procedures and training with a structured handover and academic report.

Skills

Python

Data manipulation

Automation workflows

Applied AI

Analytical skills

Collaboration

Education

EPFL master's student

Eligible for 12-month internship

Tools

GitHub

Snowflake

Copilot

Job description

Career Opportunities: Master's Thesis - AI & Automation for Customised Reporting (12 months contract) (125195)

Requisition ID125195-Posted08/10/2026-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.

Key responsibilities

• 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.

Your profile

• 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, GitHub, 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)

Note

We will not accept any CVs via agencies

Diversity & Inclusion

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.