Data Scientist Intern (Thai Speaker) H/F

Résumé du poste
Stage(5 à 6 mois)
Salaire : Non spécifié
Télétravail non autorisé
Expérience : > 6 mois
Compétences & expertises
Contenu généré
Amélioration continue


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Le poste

Descriptif du poste

What would you be doing

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

  • Understand health data and healthcare insurance dynamics

  • Improve our OCR pipeline deployed on insurance claims data

  • Work on our NLP pipelines for medical coding inference and patient journey analysis

  • Enhance our fraud detection machine learning models

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

  • Supervise the implementation and optimization of associated algorithms

  • Think about 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

  • Participate to client meetings and workshops around data science deployment projects

  • Scope clients needs and feedback and translating them to achievable data science tasks

Profil recherché

Preferred Experience

  • Previous experience as Data Scientist

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

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

  • Able to write quality production code.

  • Fluent in Thai, English. French and/or an additional language is a plus.

Bonus skills

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

  • Experience in deep learning and Pytorch.

  • Previous experience working within an agile framework.

  • Previous startup or insurance industry experience.

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 company.

  • Location: 10 rue Auber, 75009 Paris.

  • Start-up ecosystem benefits

    • Brand new Macbook

    • Swile (daily lunch vouchers & gift cards)

    • Navigo reimbursement

Déroulement des entretiens

Introductory Call - 30-45min
Onsite or Video Technical Interviews - 2 x 60min

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