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 us as an AI Product Intern to build and test cutting-edge ML and GenAI features for 600,000+ businesses across Europe. Work on experimental projects from OCR systems to conversational AI agents, exploring LLMs while contributing to production-grade machine learning.
You will work closely with Marianne Ducournau (Head of AI Products) or Benjamin Wolter (Head of AI Products) , joining a team of 10+ ML engineers and data scientists building Qonto's AI capabilities.
👩💻 As an AI Product Intern at Qonto, you will:
Marianne's Team - Conversational AI & Experimental Projects:
• Develop conversational AI agents to ease Qonto’s client experience (cashflow insights, etc)
• Improve ML/genAI applications for business finance (transaction labelling, accounting)
• Explore greenfield ML/genAI applications for business finance
Benjamin's Team - Document Matching & ML-enhanced OCR:
• Experiment with LLM approaches to improve OCR models
• Build proof of concepts for GenAI document matching applications
• Support production systems through data wrangling, labeling, and code tickets
Both teams:
Work with modern ML stack: Python, SQL, LLMs, Snowflake, Airflow, AWS
Collaborate with Product and Engineering teams
Participate in team rituals
🤔 What you can expect:
• Real impact: Your POCs directly inform product decisions affecting Qonto's customers
• Modern tech stack: Python, Cursor, Snowflake, AWS, latest LLM frameworks
• Learning environment: Weekly mentorship, exposure to experimental and production ML
• Growth potential: Strong learning development
🤝 Your Future Managers:
Marianne Ducournau (Paris), graduated from Ecole Polytechnique, Head of AI Products, leads Conversational AI and experimental projects. Benjamin Wolter (Barcelona), Head of AI Products, leads Document Matching & ML-enhanced OCR, exploring how GenAI can revolutionize document processing.
What do they bring to the team?
As experts in their field, they have hands-on experience in implementing Data Science models to serve cross-functional teams and deliver actionable insights. They also have passion for mentoring and coaching the team.
🏅 About You:
Must-have:
Python & SQL proficiency
ML advanced skills
LLM/GenAI understanding
Academic background: M2 in Data Science, ML, AI, CS, Engineering, Math, Physics, or Natural Sciences
High curiosity and hunger to learn
Creative & experimental mindset
English fluency (working language)
Nice to have:
Previous ML projects
Interest in OCR/Computer Vision or Conversational AI
We are looking for someone who can be based in one of our offices (Paris or Barcelona).
At Qonto we understand that true diversity isn't just about ticking boxes on a hiring checklist. Apply regardless of the boxes you tick! Who knows? You may have the missing piece of the puzzle we've been searching for all along.