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Data Scientist Intern (German Speaker) H/F

Prácticas(de 4 a 6 meses)
Paris
Salario: No especificado
Sin trabajo a distancia

Qantev
Qantev

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El puesto

Descripción del puesto

Your role

As a member of the data science team, and working alongside our technical experts, you will be able to:

  • Understand health data and healthcare economy dynamics.

  • Improve our OCR pipeline deployed on insurance claims data.

  • Work on our NLP pipelines for medical coding inference and sentiment analysis on hospital reviews.

  • Enhance our fraud detection machine learning models.

  • Scale our proprietary patient journey optimizer based on state-of-the-art optimal transport.

  • Implement and optimize the associated algorithms.

  • Find and implement the best ways to test and deploy our machine learning models at scale.

  • Continuously provide ideas to improve the solution.

  • Integrate this in our awesome python/pytorch/react/postgresql/django stack.


Requisitos

Your profile

  • Looking for a 4-6 months internship.

  • Advanced technical skills in Applied Mathematics, preferably in machine learning, probabilistic modeling, computer sciences and/or operations research.

  • Strong analysis with synthesis abilities, not afraid to deal with details.

  • Able to write quality production code.

  • Eager to meet clients to discuss their needs and integrate their feedback in your projects.

  • Fluent in English and German.

Bonus skills

  • Working on production-grade projects with good software engineering insights.

  • Experience in deep learning and pytorch.

  • Previous startup experience or working within an agile framework.

  • A good sense of humor.

Benefits of working at Qantev

  • Opportunity to join a challenging environment among top-notch engineers and experienced entrepreneurs.

  • Develop a deep understanding of the health insurance industry.

  • Take part in scaling a global tech start-up.

  • Location: 10 rue Auber, 75009 Paris.

  • Competitive compensation.

  • Start-up ecosystem benefits

    • Macbook

    • Alan Blue health insurance

    • Swile (daily lunch vouchers & gift cards)

    • Navigo reimbursement


Proceso de selección

  • Screening interview

  • 2 technical interviews

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