Internship / Master Thesis: AI-powered Market Intelligence Platform
ELCA Global Career site Open · verified Oct 4, 2026 At a glance
Entry-level Market Research role at ELCA Global Career site. Pully · full-time.
Pay not stated Market Research salary
growthroles summary, based on the employer's posting.
What you'll do
- Build a platform that gathers external market, industry and technology signals and analyzes them for business teams
- Spot developing trends, business openings and possible disruptions, then make them visible through visualizations
- Connect outside signals with internal project records, client details, capabilities and business opportunities
- Use generative AI and retrieval-augmented generation to deliver findings through dashboards and recommendations
- Create a proof of concept and assess its value for one or more business lines
What you bring
- You have software development experience with Python, Java, .NET or a comparable language
- You understand AI, machine learning and large language models
- You are familiar with data analysis, visualization and information retrieval
- Submit your most recent academic transcripts with your application; applications without them will not be reviewed
Who this fits
This six-month internship or master’s thesis starts in February 2027 and is based in Pully, Switzerland. It suits someone interested in market analysis and technology trends who can turn business problems into technical work. The application requires your latest academic transcripts.
From the employer
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
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