Sr. Data Scientist

Research and apply advanced ML and AI solutions to real pricing and underwriting problems — not just prototype them, but get them into production

Own projects end-to-end, from high-level business strategy through deployment, driving alignment across technical and non-technical stakeholders

Collaborate with the Insurance team to develop, file, implement, and monitor new predictive models across Home, Renters, Car, and Pet products

Mentor junior data scientists and establish technical standards that raise the bar across the team

Champion the adoption of advanced data science practices throughout the broader Insurance organization

2-4+ years of practical data science experience, with a track record of shipping production-grade work at scale

Fluency in Python for both software development and model building, plus strong SQL skills working with large datasets

Demonstrated ability to scope and structure technical solutions from ambiguous business problems — independently, without waiting for the problem to be handed to you pre-packaged

Proven impact beyond your own deliverables — infrastructure, tooling, or standards others actually adopted

Deep familiarity with the current AI and ML landscape, and a genuine drive to push its application further

Experience in InsurTech or FinTech is a plus

Master’s or Ph.D. in Data Science, Statistics, Computer Science, or a related quantitative field preferred— or a Bachelor’s degree/equivalent practical experience with a strong track record of applied data science

Ability to work in our Soho, NYC office 3 days per week

Please note that we are unable to sponsor applicants for work visas.

Unfortunately, we cannot consider applicants from these states: Alaska, California, Colorado, Montana, Hawaii, New Mexico and Puerto Rico.

Lemonade's US base salary range for this full-time position is $162,000 - $175,500 plus equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Our competitive total rewards package includes comprehensive health & wellness coverage, equity, a 401(k) plan with employer match, 20 paid vacation days, and parental leave. Speak to your recruiter to hear more about the specific salary range for your preferred location and our total rewards package.