Who are they?
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 and optimisation to predict and enhance patient journeys. Our software impacts the lives of millions of people across the world, transforming the insurance industry from within.
They are backed by top European 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 from more than 20 different countries and cultures. This fast paced environment will provide you with an unparalleled opportunity for ownership and growth within the company.
As a senior data scientist, you will be able to work, and supervise multiple data related challenges:
Understand client requirements and translate them into actions that will be used to drive Data Science components, design and configuration (data model, advanced analytics, consumption/visualization)
Support the development and delivery of Data Science & ML solutions (OCR, NLP, Fraud Models…), working closely with data science, engineering and operations teams (from data acquisition/manipulation and exploratory analysis, to DS/ML models and interpretation of results)
Lead a team of 2-4 people, working in a multicultural environment with fixed deadlines and changing priorities
Provide guidelines on best practices to development teams and ensure high-quality of deliverables
Communicate solutions & results to senior management and client stakeholders
Contribute to internal R&D and business development activities through AI & ML expertise
You will be part of a global team of data scientists, data engineers, and experts in AI & ML, who are highly collaborative taking on today’s biggest, most complex health insurance challenges across a range of industries.
5+ years of experience in consulting or projects with internal clients project scoping and presentation skills.
Master’s degree or PhD in statistics, machine learning, optimization or a related field.
Background in Applied Mathematics, preferably in machine learning, deep learning, probabilistic modeling, computer sciences, statistics and/or operations research.
Strong analysis and synthesis abilities, not afraid to deal with details.
Eager to write quality code and provide coding review to improve the skills of your team.
Experience in deploying machine learning models.
Fluent in English.
Working within a consulting firm or with internal clients.
Working on production-grade projects with good software engineering insights.
Previous experience working within an agile framework.
Previous startup or health insurance experience.
Fluency in a language other than English or French.
Benefits of working at Qantev
Opportunity to join a challenging environment among top-notch engineers and experienced entrepreneurs.
Develop a deep understanding of the health insurance industry.
Take part in scaling a global tech start-up.
Most central location: 10 rue Auber, 75009 Paris.
Competitive compensation & Equity stake in the company.
Annual company off-site.
Start-up ecosystem benefits
Brand new Macbook
Alan Blue health insurance
Swile (daily lunch vouchers & gift cards)
On site interview
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