Sr. Data Scientist

Praxy; New York, Northern (NY, KY); Hybrid; USD 162,000 - 176,000; Full time

Benefits offered by this job

Equity

Health benefits

401(k) plan with employer match

20 vacation days

Parental leave

Job summary

Lemonade is seeking a Senior AI Data Scientist to advance pricing models across Home, Renters, Car, and Pet lines. You’ll own projects end-to-end, from problem scoping to production deployment, and set technical standards for the data science team in a fast‑growing AI‑driven insurance company.

You’ll work with actuarial and product teams in Soho/NYC, mentor colleagues, and push the boundaries of AI/ML in insurance while collaborating across countries and products.

Qualifications

• 2-4+ years of practical data science experience shipping production-grade work.
• Fluency in Python for software development and model building, plus strong SQL skills with large datasets.
• Ability to scope and structure technical solutions from ambiguous business problems.
• Proven impact beyond your own deliverables—infrastructure, tooling, or standards adopted by others.
• Deep familiarity with the current AI/ML landscape and a drive to push its applications further.

Responsibilities

• Research and apply advanced ML/AI solutions to pricing and underwriting problems and deploy them to production.
• Own projects end-to-end from strategy through deployment, aligning technical and business stakeholders.
• Collaborate with Insurance teams to develop, file, implement, and monitor new predictive models for Home, Renters, Car, and Pet products.
• Mentor junior data scientists and help raise technical standards across the team.
• Champion adoption of advanced data science practices across the broader organization.

Skills

Python

SQL

Data science

Production deployment

Mentoring

InsurTech/FinTech experience

Education

Master’s or Ph.D. in Data Science/Statistics/CS

Bachelor’s degree in a quantitative field

Job description

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.

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.

Pay

base salary range for this full-time position is $162,000 - $175,500