SENIOR DATA SCIENTIST (HEALTHCARE FRAUD EXPERT) H/F

About

Qantev is the most advanced AI Platform dedicated to helping health insurers deliver superior healthcare and claims experience to their members. By leveraging insurers' historical health claims data and applying advanced Machine Learning techniques and Generative AI, Qantev predicts patient journeys, optimizes healthcare outcomes and streamlines healthcare payers operations.

Founded in 2018 and backed by top investors and industry leaders, Qantev has over 60 talented and diverse professionals based in Paris and Hong Kong, serving clients across Europe, the United States, Latin America, Asia, and the Middle East.

If you are passionate about technology and the insurance industry, join Qantev and be a part of revolutionizing the insurance claims landscape with AI-driven solutions!

We are currently recruiting for our Paris office, a Senior Data Scientist (Healthcare Fraud Expert) H/F (CDI)

Job Description

Your role

As a Senior Data Scientist - Healthcare Fraud Expert role, your healthcare expertise is crucial. This position not only requires advanced data science skills but also deep domain knowledge in healthcare systems, fraud detection, and regulatory practices. Your understanding of healthcare-specific data, fraud patterns, and compliance standards will be key to building effective models and strategies that detect and prevent fraudulent activities within the healthcare sector.

What You Will Do 👊

• Learn about health data and healthcare insurance dynamics
• Work on different Deep Learning, Machine Learning and statistical methods for fraud, waste and abuse detection
• Aid in the deployment of the models in production
• Work on optimizing these models based on user’s feedback
• Develop papers, blog posts and open-source trained models
• Aid in maintaining and scaling our internal AI package
• Work on enhancing the actionability of fraud detection.
  
  

Preferred Experience

Who you are 😀

You have at least 5+ years of experience as a Data Scientist, Deep Learning, or Machine Learning Engineer, along with prior experience working in the healthcare sector, specifically in Fraud, Waste, and Abuse detection. These two criteria are essential for your success in this role.

In Addition

• Very curious about the new advancements on AI, up to date with the SOTA
• Strong communication and presentation skills, with the ability to convey complex concepts to non-technical audiences
• Experience in putting and maintaining models in production
• Very good coding skills in Python
• Fluent in English (Both Verbal and written).
  
  

Bonus skills 🤩

• Any additional language is a plus
• Experience in exploring and implementing research papers
  
  

Recruitment Process

• Screening interview
• 2 Technical interviews
• Fit interview
  
  

Additional Information

• Contract Type: Full-Time
• Location: Paris
• Experience: > 5 years
• Occasional remote authorized