Internship / Master Thesis: AI-powered Market Intelligence Platform

ELCASecurity; Pully; Vor Ort; CHF 20.000 - 33.000; Vollzeit

Benefits dieser Stelle

Hackathons & Brownbag sessions

Internal AI tooling access

Team collaboration across sites

Career development & events

Zusammenfassung

ELCA invites you to join a 6-month internship or master thesis starting February 2027 in Pully, Switzerland. You will build an AI-powered internal platform for ELCA Business Lines to monitor market trends by aggregating external sources and correlating them with internal assets such as projects, references and client information.

You will design signals collection, identify trends, apply Generative AI and RAG techniques, and present results via dashboards.

Qualifikationen

• Currently pursuing a master’s degree or similar.

Aufgaben

• Design an AI-powered market intelligence platform.
• Identify and visualise emerging trends and opportunities.
• Correlate external signals with ELCA internal knowledge (projects, references, competencies).
• Apply Generative AI and Retrieval-Augmented Generation techniques; surface results via dashboards.

Kenntnisse

Software development experience

AI, ML, LLM knowledge

Data analysis & visualization

Market analysis interest

Strong communication & presentation

Generative AI / RAG (nice-to-have)

Ausbildung

Master's student or equivalent

Tools

Python

Java

.NET

Jobbeschreibung

Start date: February 2027 · Duration: 6 months
Please include your latest academic transcripts with your application. Applications submitted without transcripts will not be considered.

In this 6-month internship or master thesis starting in February 2027, you will develop an AI-powered internal platform that enables ELCA Business Lines to monitor market, technology and industry trends across selected sectors. The platform will consolidate information from external sources (industry reports, publications, market news, technology trends) and correlate it with internal knowledge assets such as project references, client information, competencies and business opportunities.

The goal is to provide actionable insights that help business leaders anticipate market evolution, identify emerging opportunities, strengthen go-to-market strategies and align investments in skills and offerings with future customer needs.

Your tasks

• Design an AI-powered market intelligence platform that collects and analyses signals from external sources
• Identify and visualise emerging trends, opportunities and potential market disruptions
• Correlate external signals with ELCA's internal knowledge: projects, references, competencies and customer information
• Apply Generative AI and Retrieval-Augmented Generation (RAG) techniques, and surface results through dashboards and recommendations
• Deliver a proof of concept and evaluate its business value for one or more ELCA Business Lines; as a stretch goal, propose gamification mechanisms to increase engagement

What we offer

• A dynamic, collaborative workplace with a highly motivated, multicultural team working across international sites
• The chance to make a difference in people's lives by building innovative solutions
• Access to state-of-the-art AI tooling: the latest LLMs, AI coding assistants and an internal GenAI platform used on real client projects
• Internal coding events such as Hackathons and Brownbag sessions, plus our technical blog
• Monthly After-Works organized at each location

About your profile

• Software development experience (Python, Java, .NET or similar)
• Understanding of AI, Machine Learning and Large Language Models
• Familiarity with data analysis, data visualization and information retrieval; knowledge of APIs, web scraping and data integration is a plus
• Interest in market analysis, technology watch and business intelligence, with the ability to translate business challenges into technical solutions
• Strong analytical, communication and presentation skills
• Nice to have: Generative AI, RAG architectures, vector databases, knowledge management platforms, gamification