Data Scientist, Qantev

Thai Speaker

Salary not provided

+ Equity

PyTorch
Junior and Mid level
Paris

3 days a week in office

Qantev

AI platform for health insurers

Open for applications

Qantev

AI platform for health insurers

21-100 employees

HealthcareB2BInsuranceSaaS

Open for applications

Salary not provided

+ Equity

PyTorch
Junior and Mid level
Paris

3 days a week in office

21-100 employees

HealthcareB2BInsuranceSaaS

Company mission

To help health insurers deliver better healthcare to their members.

Role

Who you are

  • 2+ years previous experience as a Data Scientist
  • Advanced technical skills in Applied Mathematics, preferably in machine learning, probabilistic modeling, computer science, statistics and/or operations research
  • Strong analysis and synthesis abilities, not afraid to deal with details
  • Able to write quality production code
  • Fluent in both Thai and English (Both Verbal and written). Any additional language is a plus

Desirable

  • Experience with production-grade projects
  • Good software engineering insights
  • Experience in deep learning and pytorch
  • Previous experience working within an agile framework
  • Previous startup or insurance industry experience

What the job involves

  • 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
  • Improve OCR pipelines deployed on insurance claims data
  • Work on NLP pipelines for medical coding inference and patient journey analysis
  • Enhance fraud detection machine learning models
  • Explore and analyze big and challenging datasets
  • Scale proprietary patient journey optimizer based on state-of-the-art optimal transport
  • Supervise the implementation and optimization of associated algorithms
  • Think about the best ways to test and deploy machine learning models at scale
  • Continuously provide ideas to improve the solution
  • Integrate this in our awesome python/pytorch/react/postgresql/django stack
  • Participate in client meetings and workshops around data science deployment projects
  • Scope clients needs and feedback and translating them to achievable data science tasks

Application process

  • Introductory Call - 30-45min
  • Onsite or Video Technical Interviews - 3 x 60min

Our take

Providing insurance is a complicated business, but Qantev aims to simplify the process for insurers with its AI-powered automation and analytics platform.

It helps providers at multiple stages throughout the claim process, with data cleaning and organization as well as the provision of metadata provided by Qantev’s own machine learning algorithms. It provides quote analysis - working against independent pricing benchmarks - and uses AI to provide personalized referrals and second options based on a patient’s profile, historical claims, and other data.

Its support package for insurers has secured it early funding. It’s focussing funds on expansion into a more global market, as well as growing its AI & Engineering Team to fine-tune its platform.

Freddie headshot

Freddie

Company Specialist

Insights

Top investors

Company

Funding (2 rounds)

Oct 2022

$11.2m

SERIES A

Nov 2020

$1.7m

SEED

Total funding: $12.9m

Company benefits

  • Work life: flexible hours & remote friendly
  • Equity stake in the company
  • Annual company off-site
  • Brand new Macbook
  • Alan Blue health insurance
  • Swile (daily lunch vouchers & gift cards)
  • Navigo reimbursement

Company values

  • Growth - How can this be better?
  • Curiosity - If you are not interested in it, you don't know it enough
  • Ownership
  • Respect - I feel a need to take you into consideration
  • Ownership - That's not my job, but in fact it is
  • Solidarity - I will help you. For no reason

Company HQ

Chaussée-d'Antin, Paris, France

Leadership

Former Equity Structured Products Strategist Analyst at Goldman Sachs and Post-Doctoral Fellow at École Polytechnique.

Previously a Junior Data Scientist at Shopmium, and a Senior data Scientist at AXA.

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