Skills
Communication
Python
JavaScript
Tableau
Data Analysis
SQL
Data Visualization
HubSpot
Test
Problem-solving
Decision-making
Research
Data collection
Attention to detail
Programming
power bi
Organization
Numpy
Pandas
Recruitment
Analytics
Google Analytics
Data Science
Spark
blockchain
Large Language Models
Job Specifications
About the Company:
Chain of Events is a pioneering event organization company creating world-class, large-scale conferences at the intersection of blockchain, AI, and emerging technologies. We are the force behind:
Paris Blockchain Week -- Europe's largest digital asset event
RAISE Summit -- the premier AI conference
and more to come ...
Our events bring together global leaders, innovators, investors, and regulators to spark dialogue and action in transformative industries.
We're looking for a tech-savvy intern with both technical skills and a business mindset to join us as an AI & Data Intern. This isn't a typical internship, you'll be at the forefront of how we use AI, automation, and data to shape the future of our company. From day one, you'll get hands-on with collecting and preparing data from diverse sources, experimenting with AI tools, and building smart workflows that make us faster, smarter, and more innovative.
If you're excited about working end-to-end, from raw data to real AI-powered solutions, this role is for you.
About the internship
Key Responsibilities
Data Collection & Preparation: Gather, clean, and structure data from internal and external sources.
AI & LLM Integration: Research, test, and apply large language models to real-world business problems.
Automation Development: Build AI workflows to improve efficiency.
Experimentation & Prototyping: Build and iterate on AI-driven solutions, evaluating performance and reliability.
Data Analysis & Insights: Use data-driven methods to uncover opportunities for innovation and improved decision-making.
Documentation & Knowledge Sharing: Prepare clear documentation and reports.
Requirements
Currently enrolled in or recently graduated from a relevant program (Computer Science, Data Science, Engineering, Business + Tech).
Strong technical foundation: familiarity with programming (Python, SQL, JavaScript, etc.).
Ability to collect, clean, and prepare data from various sources.
Curiosity and hands-on interest in AI, LLMs and automation.
Solid analytical and problem-solving skills, with attention to detail.
Clear communication skills and proficiency in English.
A learning agreement from your university (Convention de Stage).
Bonus Skills
Familiarity with tools such as Google Analytics, HubSpot, Monday.com, Excel and AI/LLM frameworks.
Experience with automation platforms.
Experience using libraries like Pandas and NumPy.
Knowledge of data visualization/BI tools (e.g., Looker Studio, Tableau, Power BI).
Interest in how AI and blockchain technologies create new business opportunities.
What We Offer
6-month paid internship with benefits (lunch voucher)
Change to work in a diverse and multicultural team
Real-world AI exposure: Work hands-on with LLMs, automation, and data pipelines.
Tangible impact: Build solutions that directly improve company operations and outcomes.
Mentorship & growth: Learn from a team applying AI across multiple business areas.
Successful interns may transition into future roles
Recruitment Process and other info
Position is based in Paris and is to be filled ASAP - 6 months internship
Please forward CV and cover letter to be considered -> antonio@chainof.events / hr@chainof.events
About the Company
RAISE is the premier international platform where the world's top founders, builders, and executives shape the future of AI. Hosted annually at the Louvre in Paris, RAISE brings together 8,000+ global leaders, 250+ visionary speakers, and the most influential voices in AI, tech, and business. From hyperscalers to breakthrough startups, from VCs to Fortune 500 buyers -- RAISE is where premium content meets powerful connections. Backed by leading players like Sequoia, Cerebras, Founders Fund, Snowflake, H company, Hugging Face...
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