Senior Data Scientist (Healthcare Fraud Expert) H/F

Senior Data Scientist (Healthcare Fraud Expert) H/F

• Location: Paris
• Type: Full-Time

About

Qantev is an AI company that helps health insurers deliver better healthcare to their members by leveraging insurers’ historical health claims data and applying Machine Learning techniques and Generative AI to predict patient journeys. They are backed by top investors and industry leaders, and have customers all across the world (Europe, USA, LATAM, Asia, and the Middle East). As a growing team of talented, enthusiastic, and diverse professionals, you will have an unparalleled opportunity for ownership and growth within the company.

Job Description

Your role

We are looking for a passionate Senior Data Scientist (Healthcare Fraud Expert) to join our team in Paris.

As a member of the Data Science team , you will have the opportunity to:

• 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 models in production.
• Optimize models based on user feedback.
• Develop papers, blog posts, and open-source trained models.
• Aid in maintaining and scaling our internal AI package.
• Enhance the actionability of fraud detection.

Preferred Experience

Your profile:

• 5+ years of experience as a Data Scientist/DL/ML Engineer
• Previous experience in the Healthcare sector (mainly Fraud, Waste, and Abuse)
• Curiosity about new advancements in AI, and staying up to date with SOTA.
• Strong communication and presentation skills, with the ability to convey complex concepts to non-technical audiences.
• Experience in deploying and maintaining models in production.
• Good coding skills in Python.
• Fluent in English (both verbal and written) ; any additional language is a plus.

Bonus skills:

• Experience in exploring and implementing research papers.

Benefits of Working At Qantev:

• Competitive compensation & equity stake in the company.
• Opportunity to be part of a global tech start-up.
• Dynamic and exuberant work environment.
• Location: 10 rue Auber, 75009 Paris.
• Annual company off-site.
• Start-up ecosystem benefits: New Macbook, Alan Blue Health Insurance, Swile (daily lunch vouchers & gift cards), Navigo reimbursement.

Recruitment Process

Screening interview

2 Technical interviews

Fit interview

Additional Information

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

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