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Data Science Manager

Lemonade Inc - NYC, New York, United States

Posted Apr 23, 2026

Benefits

Parental leave
Not verified
Non-birth-parent leave
Not verified
Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
Not verified
Relocation assistance
Not verified
Childcare support
Not verified
Learning budget
Not verified
Verification
Not verified checked Jun 13, 2026
Salary
$210K-$230K From the posting source checked Jun 20, 2026
401(k) match
Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)
$111,944 U.S. median for this role
Projected growth (BLS Employment Projections)
+13.7% - Much faster than average

97% above the BLS role benchmark for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Data From the posting source checked Jun 20, 2026
Seniority
Mid From the posting source checked Jun 20, 2026

Schedule

Shift type
Not verified
Weekend work
Not verified

Company

Company stage
Public-company From the posting source checked Jun 20, 2026
Equity
Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter
Not verified
Assessment
Not verified
Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

Data Science Manager NYC, New York, United States What you're applying for We're looking for an AI Data Science Manager to help lead the future of machine learning-driven pricing at Lemonade. You'll sit within our Data Science team, owning the direction of a group of talented data scientists while pushing the technical boundaries of how we build, ship, and scale ML solutions that directly shape our products. 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 - Lead a team of data scientists, setting technical direction and helping each person grow in their craft - Own projects end-to-end, from framing the business question all the way through to production - Build and ship machine learning and deep learning models that directly influence pricing decisions - Partner with actuaries and insurance managers and translate complex findings into clear, compelling narratives for internal stakeholders - Champion AI adoption across the business, inspiring teams to think differently about how data science can solve real problems - Contribute to the continued evolution of our ML infrastructure, tools, and best practices What you'll need

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