Data Science internship

<p>Algoan is a Fintech founded in 2018 that transforms the way credit decisions are made through its scoring and budget analysis solutions based on Open Banking. Our API-based products enable financial institutions to optimize their decision-making processes by analyzing the banking data of loan applicants.</p> <p>As a European leader in this field, we collaborate with major players (Sofinco, Cofidis, Revolut, etc.) to enhance user experience and acceptance rates while reducing the risk of over-indebtedness across various use cases (installment payments, consumer credit, car financing, etc.). Algoan strives to make credit more accessible to a broader audience, with security and compliance at the heart of its priorities.</p> <p><strong>Key figures:</strong></p> <ul> <li>We are a team of 30 people.</li> <li>We have raised over €10 million.</li> <li>Our API is available in 6 European countries.</li> <li>We are ISO 27001 certified and regulated by the ACPR.</li> <li><strong>Our data stack:</strong> Our core technologies include MongoDB, DataFlow, BigQuery, dbt, Python, and git.</li> </ul> <h2 id="tasks">Tasks</h2> <p>We are looking for a motivated and talented Data Science Intern to review performance and improve our models. This internship is a unique opportunity to work on a high-impact project at the core of our product offering, in a fast-paced and innovative environment. Under the supervision of a Senior Data Scientist, you will:</p> <ul> <li>Explore, preprocess, and enrich Open Banking datasets to extract meaningful features.</li> <li>Benchmark model performance with respect to existing models, and business objectives such as acceptance and default rates on our different portfolios.</li> <li>Identify and mitigate biases, ensure model robustness and regulatory compliance.</li> <li>Present findings and results internally and possibly to clients.</li> <li>Collaborate with Product and Tech teams to improve the models.</li> </ul> <h2 id="requirements">Requirements</h2> <ul> <li>Currently enrolled in a Master’s degree in Data Science, Applied Mathematics, or similar.</li> <li>Solid knowledge in statistical modeling and machine learning algorithms.</li> <li>Strong analytical skills, autonomy, and problem-solving mindset.</li> <li>Solid Python skills (pandas, scikit-learn, Jupyter, etc.).</li> <li>Interest in fintech and responsible credit scoring.</li> <li>Experience with scoring models development is a strong plus.</li> </ul> <h2 id="benefits">Benefits</h2> <ul> <li>A hands-on project with real impact on the product and our clients.</li> <li>A collaborative, data-driven team environment.</li> <li>Mentorship from experienced Data Scientists.</li> <li>A chance to discover the inner workings of a product-focused, API-first fintech startup.</li> </ul>