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

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

Your teamWe 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.

Your teamWe 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.

Your role

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.