Machine Learning Intern — Opportunihub
Job

Machine Learning Intern

Qonto · Paris

At a glance

Type
Job
Organisation
Qonto
Location
Paris
Work mode
On-site
Deadline
Rolling / not stated
Posted
19 Sep 2026

About this job

<div> <p><strong><span style="font-size: 18px;">Our mission and customers: </span></strong><span style="font-size: 16px;">We are creating the freedom for SMEs to succeed by delivering Europe's leading finance workspace </span><span style="font-size: 16px;">with banking at its core, augmented by financial tools. We are proud to be </span><a href="https://www.trustpilot.com/review/qonto.com" style="font-size: 16px;"><em><strong>rated 4.8 on Trustpilot</strong></em></a><strong><em><a href="https://www.trustpilot.com/review/qonto.com">,</a></em></strong><strong style="font-size: 16px;"><em>&nbsp;</em></strong><span style="font-size: 16px;">based on 55,000+ reviews. </span><a href="https://qonto.com/en/careers/culture" style="font-size: 16px;"><strong><em>Our culture</em></strong></a><strong style="font-size: 16px;"><em>&nbsp;</em></strong><span style="font-size: 16px;">puts customer satisfaction at the core of what we do, as proven by our Net Promoter Score of 75 <em>(more about our culture <strong><a href="https://medium.com/qonto-way/the-qonto-way-our-culture-is-our-strategy-90defd4895f9">here</a></strong>).</em></span></p> <p><strong><span style="font-size: 18px;">Our journey:&nbsp;</span></strong><span style="font-size: 16px;">Founded in 2017 by<strong>&nbsp;</strong></span><a href="https://www.linkedin.com/in/aprot/"><span style="font-size: 16px;"><em><strong>Alexandre</strong></em></span></a><span style="font-size: 16px;"> and </span><a href="https://www.linkedin.com/in/steveanavi/"><span style="font-size: 16px;"><strong><em>Steve</em></strong></span></a><span style="font-size: 16px;"><strong><em>,</em></strong> Qonto has grown to 1,600+ Qontoers serving over 600,000+ customers across 8 European countries. We have been profitable since 2023, and we are just getting started.</span></p> <p><strong><span style="font-size: 18px;">Our beliefs: </span></strong><span style="font-size: 16px;">We hire for skills and potential. With 80+ nationalities, 45% women, of which 56% of women in our leadership team, diversity isn't a program; It's who we are. </span><a href="https://medium.com/qonto-way/a-recruiters-dilemma-confronting-bias-in-hiring-b78acce148eb"><span style="font-size: 16px;"><strong><em>We've built a discrimination-free hiring process</em></strong></span></a><span style="font-size: 16px;"> because the best teams are built on merit.</span></p> <p><strong><span style="font-size: 18px;">AI at Qonto: </span></strong><span style="font-size: 16px;">AI is deeply embedded in how we work (<strong><span style="text-decoration: underline;"><a href="https://medium.com/qonto-way/ai-at-qonto-vision-statement-725a7e2f659b"><em>here</em></a></span></strong>)<em>&nbsp;- </em></span><span style="font-size: 16px;">Every Qontoer gets unlimited access to the best AI tools. We want people who experiment without waiting for permission, push AI beyond the obvious, know when to trust it, and when to question it.</span></p> <p><span style="font-size: 16px; color: #7e8c8d;">------------------------------------------------------------------------------------------------------</span></p> </div><div><br></div><p>Join us as a <strong>Machine Learning Intern</strong> to help Qonto's Quantitative Risk team build better ML tools, monitor model performance, and manage credit risk. Over 6 months, you'll help us anticipate business needs and move faster with confidence, working closely with <strong>Gauthier Marquand</strong>, our Head of Quantitative Risk, and mentored day-to-day by <strong>Paul-Adrien Marie</strong>, our ML Engineer.</p> <h3>➡️ What you'll do</h3> <ul> <li><strong>Formalize modeling guidelines:</strong> Document and enhance state-of-the-art ML standards so every model the team ships is high-quality and audit-ready.&nbsp;</li> <li><strong>Support model risk documentation:</strong> Help the Model Risk Manager keep model documentation and reporting airtight for regulators.</li> <li><strong>Strengthen ML infrastructure:</strong> Contribute to the CI pipelines and tooling that let the team deploy models reliably.</li> </ul> <h3>➡️ What we're looking for</h3> <ul> <li><strong>Python proficiency:</strong> You write clean, production-ready code following solid software engineering practices.</li> <li><strong>ML foundations:</strong> You're comfortable with model evaluation, feature selection, and time-series methods.</li> <li><strong>Clear technical writing:</strong> You can turn complex ML concepts into guidelines and reports people actually use.</li> <li><strong>AI-native workflow:</strong> You use AI daily to learn faster and ship better work, and you're always exploring new techniques.</li> <li><strong>Fluent English:</strong> French is a plus, not a requirement.</li> </ul> <h3>➡️ What we can offer you</h3> <ul> <li><strong>Full ML stack exposure:</strong> See how models go from data to production inside a regulated fintech.</li> <li><strong>Cutting-edge techniques:</strong> Apply recent ML methods and measure their real business impact.</li> <li><strong>Production ML skills:</strong> Build systems that scale, not prototypes that stay in a notebook.</li> <li><strong>A tight, senior team:</strong> Work directly with Gauthier and four other quantitative risk specialists at the intersection of finance and tech.</li> </ul> <p>&nbsp;</p> <p>At Qonto, we understand that true diversity isn't just about ticking boxes on a hiring checklist. Apply regardless of the boxes you tick — you may have the missing piece of the puzzle we've been searching for all along.</p><br><strong>Perks</strong><br><p><strong>Flex your schedule.</strong> Work from home up to 2 days a week with our hybrid policy.</p> <p><strong>Stay active.</strong>&nbsp;Gympass gives you access to 3,000+ sports and wellness partners.</p> <p><strong>Eat well.</strong>&nbsp;Lunch card, 50% on us.</p> <p><strong>Get around.</strong> 50% of the cost of your public transportation pass is covered.</p> <p><strong>Enjoy the rest.</strong> Team events, snacks, and beverages.</p> <p><strong>Take time off.</strong> 1 paid day off per month, no questions asked.</p> <p><strong>Be yourself.</strong>&nbsp;An inclusive, supportive environment where everyone belongs.</p><div> <div> <div><span style="font-size: 16px; color: #7e8c8d;"><em>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.</em></span></div> <div>&nbsp;</div> <div><span style="font-size: 16px; color: #7e8c8d;"><em>By applying, you agree that Qonto processes your personal data to assess your application. Your data is kept for up to 2 years in our candidate pool. Read our <a href="https://qonto.com/en/legal-documents/privacy-notice">Privacy Notice</a> for full details.</em></span></div> <div>&nbsp;</div> <div><span style="font-size: 16px; color: #7e8c8d;">----------------------------------</span><span style="font-size: 16px; color: #7e8c8d;">----------------------------------</span><span style="font-size: 16px; color: #7e8c8d;">----------------------------------</span></div> </div> </div> <div>&nbsp;</div> <div><span style="font-size: 16px;">On average, <strong>our hiring process lasts 15</strong></span><strong><span style="font-size: 16px;"> working days, with 3 steps:</span></strong></div> <ul> <li>Interview with our recruiter</li> <li>Interview with your future mentor/manager</li> <li>Case Study debrief</li> </ul> <div> <div><span style="font-size: 16px; color: #7e8c8d;">----------------------------------</span><span style="font-size: 16px; color: #7e8c8d;">----------------------------------</span><span style="font-size: 16px; color: #7e8c8d;">----------------------------------</span></div> <div> <p data-pm-slice="1 1 []"><strong><span style="color: #7e8c8d;">🔒 Your security matters to us</span></strong></p> <span style="color: #7e8c8d;">Recruitment scams are on the rise. Keep in mind, w</span><span style="color: #7e8c8d;">e will never work with third-party platforms or agencies that request payment from candidates.</span></div> <div> <p><span style="color: #7e8c8d;">If you receive a suspicious message claiming to be from Qonto, please report it right away (<a aria-haspopup="menu" rel="noopener noreferrer" ---------- </div> </div><p>Find <a href="https://www.arbeitnow.fr">Jobs in France</a> on Arbeitnow</a>

How to apply

  1. 1 Read the full details above and confirm you meet the eligibility criteria.
  2. 2 Prepare your documents — an updated CV, and any cover letter, proposal or certificates required.
  3. 3 Click Apply on official site to complete your application on Qonto’s official page.
  4. 4 Submit as early as possible — many close once filled.
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Frequently asked questions

How do I apply for Machine Learning Intern?

Review the full details and eligibility on this page, prepare your documents, then use the “Apply on official site” button to complete your application on Qonto’s official page.

Is this opportunity remote or location-based?

This opportunity is based in Paris. Check the official listing for any relocation or on-site requirements.

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