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AI Data Intern

Qonto

Qonto

Software Engineering, Data Science
Paris, France
Posted 6+ months ago
Our mission? Creating the freedom for SMEs to succeed in business and beyond, by delivering Europe’s leading finance workspace. We combine business-class tools (seamless invoicing, spend management, and pre-accounting) with unwaveringly attentive 24/7 support, designed to help businesses breeze through all things finance.
Our journey: Founded by Alexandre and Steve in July 2017, Qonto has rapidly gained trust, serving over 600,000 customers. Thanks to our wonderful team of 1,600+ Qontoers, we also made it to the LinkedIn Top Companies French ranking!
Our values:
Customer focus | Prioritize customers in everything you do
Ownership | Own your part, get things done
Teamwork | Make (team)work easy
Mastery | Continuously raise the bar
Integrity | Always do what’s right, and respect people
Our beliefs: At Qonto, we're committed to fostering a welcoming environment where everyone can thrive. We prioritize evaluating applicants based solely on skills and potential, ensuring diversity with 55% international team members, 44% women, and 20% parents. Join us in building a workplace that celebrates diversity and individuality.
Join Qonto's Business Intelligence team as a Data AI Intern and drive the next wave of operational efficiency through cutting-edge AI solutions. You'll be at the forefront of our company-wide innovation strategy, transforming how teams access and utilize data to make faster, better decisions.
Working closely with Maxime, our AI specialist, and under the guidance of Erwan, our Head of Business Intelligence, you'll deliver AI solutions that directly impact productivity across HR, Sales, Finance, and Marketing teams. Your work will help Qonto's 500,000+ customers benefit from more efficient, data-driven operations.
👩‍💻🧑‍💻 As an AI Business Intelligence Intern at Qonto, you will:
Drive GenAI initiatives from conception to production, delivering key solutions that transform how teams access and utilize data across departments
Create and maintain Dust tools with database and AI components that employees across the company will use daily
Build robust data models using SQL and DBT to support AI implementations and ensure reliable data access
Master prompt engineering techniques to leverage existing AI models and meet Qonto's specific cross-functional needs
Establish and optimize AI process standards through user testing, validation, and continuous improvement to ensure quality and effectiveness
🤔 What you can expect:
Cutting-edge environment: Work in one of the most innovative BI teams in the Paris tech ecosystem, within an established team of 20 professionals already leveraging AI
High-impact projects: Contribute to initiatives that transform how departments access and utilize data, with direct visibility of your work's value across the company
Advanced methodologies: Gain hands-on experience with cutting-edge AI technologies including Claude, GPT, and custom AI solutions
Modern tech stack: Work with SQL, DBT, Snowflake, Notion, DUST, and Claude Code in a data-rich environment
Collaborative approach: Daily standups with the team and weekly 1:1s with Maxime to discuss priorities and accelerate your learning
🤝 About your future manager:
You'll work directly with Maxime, our AI specialist, who will provide daily mentorship and guidance.
The broader team is led by Erwan, our Head of Business Intelligence, who brings nine years of international data operations experience from dynamic markets in Shanghai and Singapore. After swapping dumplings for croissants, Erwan joined Qonto with a unique perspective on data strategy and business intelligence. He's passionate about leveraging data to drive business success and fostering collaborative, innovative team environments. Plus, if you ever fancy a jog, he's your guy - just try to keep up!
🏅 About You:
Academic foundation: Currently pursuing a Master's degree (M1 or M2) in Engineering or Business School with a strong technical background
SQL mastery: Strong SQL skills and hands-on experience with data modeling - this is essential for building effective AI solutions
AI experience: Demonstrated experience building bots or AI tools (using Gemini, ChatGPT, or similar platforms) with technical skills in prompt engineering
Business mindset: Innovation-driven approach that bridges technical capabilities with business needs; ability to understand stakeholder requirements and translate them into technical solutions
Communication excellence: Strong English proficiency and ability to collaborate effectively with diverse teams across HR, Sales, Finance, and Marketing
Bonus skills: Knowledge of DBT, Python, Tableau, or statistical analysis is a plus
At Qonto, we understand that true diversity isn't just about ticking boxes on a hiring checklist. We're looking for someone who can bridge the gap between technical capabilities and business needs. If you're excited about using AI to transform how businesses access and utilize data, we want to hear from you!
Additional Details:
📍 Location: Paris (Hybrid)
🕐 Start Date: ASAP (January/February 2026 possible)
📋 Contract: 6-month internship
🎁 Perks
An inclusive work environment. And so much more to help you succeed.
- Offices in Paris, Berlin, Milan, Barcelona, and Belgrade;
- 1 or 2 remote days per week (depending on your team and what your school allows);
- 1 paid day off /month;
- A meal voucher;
- Public transportation reimbursement;
- Great offers for sports and wellness activities;
- A progressive disability and parenthood policy (1 in 6 of Qonto employees is a parent!) and childcare benefits with selected partners;
- Monthly team events.
Click here to read more about what it's like to be an intern at Qonto.
💬 Our hiring process:
- Interviews with your Talent Acquisition Manager and future manager/mentor
- A remote or live exercise to demonstrate your skills and give you a taste of what working at Qonto could be like
Find more information about our interview process on our careers website.
On average, our process lasts 20 working days and offers usually follow within 48 hours 🤞
To learn more about us:
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