Data Science internship

Il y a 35 minutes

Paris, Île-de-France Algoan Temps plein

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.

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.

Key figures:

  • We are a team of 30 people.
  • We have raised over €10 million.
  • Our API is available in 6 European countries.
  • We are ISO 27001 certified and regulated by the ACPR.
  • Our data stack: Our core technologies include MongoDB, DataFlow, BigQuery, dbt, Python, and git.
Tasks

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:

  • Explore, preprocess, and enrich Open Banking datasets to extract meaningful features.
  • Benchmark model performance with respect to existing models, and business objectives such as acceptance and default rates on our different portfolios.
  • Identify and mitigate biases, ensure model robustness and regulatory compliance.
  • Present findings and results internally and possibly to clients.
  • Collaborate with Product and Tech teams to improve the models.
Requirements
  • Currently enrolled in a Master's degree in Data Science, Applied Mathematics, or similar.
  • Solid knowledge in statistical modeling and machine learning algorithms.
  • Strong analytical skills, autonomy, and problem-solving mindset.
  • Solid Python skills (pandas, scikit-learn, Jupyter, etc.).
  • Interest in fintech and responsible credit scoring.
  • Experience with scoring models development is a strong plus.
Benefits
  • A hands-on project with real impact on the product and our clients.
  • A collaborative, data-driven team environment.
  • Mentorship from experienced Data Scientists.
  • A chance to discover the inner workings of a product-focused, API-first fintech startup.

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