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.

Preferred Experience

• First 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.

• Cantonese at a native level speaker is required.

• Fluent in English. French and/or an additional langage 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

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