Internship: Agentic AI for financial investigation and management reporting

ELCA Informatique SA; Pully; On-site; CHF 20,000 - 27,000; Full time

Job summary

ELCA Informatique SA in Switzerland invites a Master student in Computer Science, Data Science, or related field to join a six-month internship starting February 2027. You will prototype an Agentic AI capable of analyzing data from multiple systems, pinpointing significant variances, and generating traceable explanations for finance stakeholders.

The role includes process analysis, literature review, prototyping, validation, and building a roadmap for industrializing AI-assisted financial

Qualifications

• Master student in Computer Science, Data Science, Data Engineering or similar field.
• Strong programming skills in Python and Java.
• Interest in AI, large language models and agent-based systems.

Responsibilities

• Process analysis and stakeholder interviews to map current reporting workflows.
• Literature review and state-of-the-art evaluation in Agentic AI and trustworthy AI.
• Agent design and prototyping to analyze data from multiple systems and generate explanations.
• Validation and evaluation against expert assessments and measurement of impact.
• Define a roadmap to industrialize AI-assisted financial investigation and reporting.

Skills

Python

Java

Analytical thinking

AI interest

Education

Master's degree in CS/Data Science or related field

Job description

Start date: February 2027 · Duration: 6 months

Monthly analytical financial reporting is a critical process for business steering. Today, the production of management reports for each Business Unit remains highly manual, requiring data collection, reconciliation, validation, investigation of unexpected deviations, and interaction with business stakeholders across multiple systems.

As a result, reports are typically available around 7 working days after accounting close. The objective is to reduce this lead time, enabling Business Owners to take corrective actions sooner and allowing financial analysts to focus more on business
partnering and leadership activities rather than data consolidation and investigation.

Recent advances in Agentic AI open the possibility of creating a Financial Investigation Agent capable of analyzing
information from multiple enterprise systems, identifying the root causes of financial variances, validating figures,
reconciling inconsistencies, and generating evidence-based explanations.

Objectives

This internship explores how Agentic AI can support financial controlling and management reporting while maintaining the level of accuracy, traceability, and trust required in a finance environment. The following activities are foreseen:

• Process analysis and stakeholder interviews: understand the current reporting process, identify bottlenecks, and capture how controllers and business managers investigate financial deviations.
• Literature review and state of the art: study recent research on Agentic AI, trustworthy AI, financial analytics, and human-AI collaboration.
• Agent design and prototyping: design and implement a prototype capable of analyzing data from multiple systems, identifying significant variances, investigating potential causes, and generating traceable explanations.
• Validation and evaluation: compare AI-generated analyses with expert controller assessments and measure accuracy, trustworthiness, and potential effort reduction.
• Recommendations and roadmap: define how AI-assisted financial investigation and reporting can be industrialized within the organization.

What we offer

• A dynamic and collaborative environment with experienced finance, data, and AI professionals
• The opportunity to work on a high-impact and highly visible business challenge
• Exposure to Agentic AI, enterprise data platforms, and financial analytics

About your profile

• Master student in Computer Science, Data Science, Data Engineering or similar field
• Interest in AI, Large Language Models, and agent-based systems
• Programming skills (Python, Java)
• Strong analytical and problem-solving skills
• Interest in business analytics