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!

About the role 🚀

We are looking for a passionate Senior Data Scientist expert in Document AI (OCR, NER, Table Extraction, and NLP) and/or medical coding inference/consistency (ICD/CPT/DRG…) to join our team in Paris. We would like someone with proven experience in fine-tuning Document AI models for complicated use cases and/or medical coding inference/consistency.

What you will do 👊

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 computer vision, Document AI and NLP

• Use LLMs with fine-tuning and RAG applications

• Help in the deployment of the models in production

• Fine-tune models for medical coding related tasks (medical coding inference/consistency)

• Explore client’s dataset to create the best ML pipeline to solve the problems

• Write papers, blog posts and open-source some trained models

• Help maintain and scale our internal AI package

• Improve the fraud detection models

Who you are 😀

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

• Expert in Document AI (OCR, NER, Table Extraction) with proven experience on different projects deploying these models

• Expert in medical coding inference/consistency with proven experience in these topics

• A great theoretical and technical background on Deep Learning

• 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 reading and implementing research papers

• Experience in putting and maintaining models in production

• Very good coding skills in Python, Pytorch and HuggingFace

• Fluent in English (Both Verbal and written). Any additional language is a plus

Bonus skills 🤩

• Previous experience in healthcare or health insurance domain

• Experience with MLFLOW and other MLOps tools

• Experience on pre-training Document AI models

• Screening interview: 45min

• Deep Learning interview (1hr)

• Data Science/ Machine learning/ coding interview (1hr)

• Fit interview with CTO (1hr)

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