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Lemonade
Lemonade

Insurance company.

Data Science Manager

RoleData Science
LevelLead
LocationNYC
WorkOn-site
TypeFull-time
Posted1 week ago
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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 product 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

  • 1-3 years of experience leading an R&D or Data Science team

  • 3+ years working as a data scientist, ideally at a startup or fintech company

  • A Master's degree or higher in Statistics, Computer Science, Mathematics, or a related field

  • Fluency in Python and/or R

  • Solid understanding of both relational and NoSQL databases

  • A track record of delivering high-scale, production-grade projects

  • Experience building insurance pricing models is a strong plus

  • Ready to work in an office environment most days of the 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 $210,000 - $230,000 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. Speak to your recruiter to hear more about the specific salary range for your preferred location.

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About Lemonade

Lemonade

Lemonade

Public

Lemonade, Inc. is an American insurance company. The company offers renters' insurance, homeowners' insurance, car insurance, pet insurance, and term life insurance in the United States, as well as contents and liability policies in Germany and the Netherlands and renters' insurance in France.

201-500

Employees

New York City

Headquarters

$1.2B

Valuation

Reviews

10 reviews

4.0

10 reviews

Work-life balance

3.2

Compensation

3.8

Culture

4.1

Career

3.4

Management

3.6

72%

Recommend to a friend

Pros

Supportive management and leadership

Flexible schedules and remote work options

Great team culture and collaboration

Cons

Heavy workload and overtime requirements

Communication issues with management

Fast-paced and stressful environment

Salary Ranges

19 data points

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Data Scientist

0 reports

$142,556

total per year

Base

-

Stock

-

Bonus

-

$121,173

$163,939

Interview experience

1 interviews

Difficulty

4.0

/ 5

Duration

21-35 weeks

Interview process

1

Application Review

2

Phone Screen

3

Technical Interview

4

Behavioral Interview

5

Final Round

Common questions

Technical Knowledge

Behavioral/STAR

Past Experience

Case Study