
Qantev enhances the performance of health and life insurers around the globe, helping them reduce losses, optimize their processes, and increase client satisfaction. By blending artificial…

Qantev enhances the performance of health and life insurers around the globe, helping them reduce losses, optimize their processes, and increase client satisfaction. By blending artificial…
Founded: 2019
Headquarters: Paris, France
Product: AI claims / decision-support platform for health & life insurers
Employees: 75
Recent raise: €30M Series B (Oct 2024)
Health and life insurance claims processing, fraud detection, and operational optimization.
2019
Software Development
€1.7M
Seed financing led by Elaia with participation from Entrepreneur First and angels (reported figures vary between €1.5M–€1.7M).
€10M
Elaia participated/reinvested in the round.
€30M
Participation from existing investors including Elaia, Omnes and RAISE Ventures.
“Backed by European growth and venture firms including Elaia Partners, Omnes Capital, RAISE Ventures and Blossom Capital”
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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.
Work on our AI pipelines for medical coding inference and medical insight inference.
Enhance our fraud detection models.
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 bleeding edge data & inference infrastructure.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 domain experts to discuss their needs and integrate their feedback in your projects.
Fluent in English.
Bonus skills
Opportunity to join a challenging environment among top-notch engineers and experienced entrepreneurs.
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Develop a deep understanding of the health insurance industry.
Take part in scaling a global tech start-up.
Location: 46 rue Saint-Lazare, 75009 Paris.
Competitive compensation.
Benefits
2 technical interviews