Qantev is an AI company that helps health insurers deliver better healthcare to their members.

They do that by leveraging insurers’ historical health claims data and by 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).

They are a growing team of talented, enthusiastic, and diverse professionals. As an early hire, you will have an unparalleled opportunity for ownership and growth within the company.

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, alongside our technical experts, you will get an 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 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.

Your profile:

• 5+ experience as a Data Scientist/DL/ML Engineer

• Previous experience working in the Healthcare sector (mainly Fraud, Waste and Abuse)

• 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). Any additional language is a plus

Bonus skills:

• Experience in exploring and implementing research papers

Benefits of Working At Qantev:

You'll join a team of highly skilled and motivated individuals who are willing to share their knowledge and passion for advanced data science, machine learning and computer science. In addition to this we provide:

• Competitive compensation & Equity stake in the company

• Opportunity to take part in scaling a global tech start-up

• Opportunity to be a part of a fun, dynamic and exuberant 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

Screening interview

2 Technical interviews

Fit interview

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