Sr. Data Scientist

About the role

We're looking for a Senior AI Data Scientist to help push Lemonade's pricing models into genuinely new territory. You'll sit within our Data Science Pricing team, working closely with Actuarial and Insurance Product to develop and deploy predictive models across our Home, Renters, Car, and Pet lines — in multiple countries. This isn't a research-only role. You'll own projects end-to-end, from scoping the business problem through production deployment, and you'll help set the technical bar for the data scientists around you.

We believe three things matter for every role at Lemonade: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work.

Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.

IN THIS ROLE YOU'LL

- 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

WHAT YOU'LL NEED

- 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.