Senior AI Data Scientist — Pricing ML, Production & Equity

Graduate

New York (NY)

Hybrid

USD 185,000 - 205,000

Full time

10 days ago

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Benefits offered by this job

Equity
Health & wellness coverage
401(k) employer match
20 paid vacation days
Parental leave

Job summary

Lemonade is seeking a Senior AI Data Scientist to push pricing models into new territory, with end-to-end ownership from business scope to production deployment. You'll work with Data Science Pricing, Actuarial, and Insurance Product across multiple lines and countries, mentoring peers and raising the technical bar.

You'll require 2-4+ years of practical data science, Python and SQL fluency, and the ability to scope technical solutions independently.

Qualifications

  • 2-4+ years of practical data science experience with production deployments.
  • Fluency in Python for software development and model building; strong SQL with large datasets.
  • Ability to scope technical solutions from ambiguous business problems.

Responsibilities

  • Research and apply advanced ML/AI solutions to pricing problems and productionize them.
  • Own end-to-end projects from strategy to deployment with stakeholders across teams.
  • Collaborate with Insurance to develop and monitor predictive models across products.
  • Mentor junior data scientists and raise technical standards.
  • Champion advanced data science practices throughout the organization.

Skills

Python
SQL
Production data science
Problem scoping
Mentorship
Cross-functional collaboration

Education

Master's or Ph.D. in Data Science/Statistics/CS
Bachelor's degree with practical data science experience

Tools

Production deployment tooling

Job description

Lemonade is seeking a Senior AI Data Scientist to push pricing models into new territory, with end-to-end ownership from business scope to production deployment. You'll work with Data Science Pricing, Actuarial, and Insurance Product across multiple lines and countries, mentoring peers and raising the technical bar.

You'll require 2-4+ years of practical data science, Python and SQL fluency, and the ability to scope technical solutions independently.

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