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Data Science Insurance Jobs in New York (NOW HIRING)

Data Scientist

New York, NY · On-site

$140K - $160K/yr

We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added ... Why We're Hiring Our Data Science & Analytics team has been a force multiplier and accelerant to ...

Data Scientist II

New York, NY · Hybrid

$131K - $172K/yr

Oscar is the first health insurance company built around a full stack technology platform and a ... Help ensure data science processes and outputs align with broader team strategies and roadmaps

... Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan. Qualifications ... Master's Degree in Data Science, Computer Science, Statistics, or equivalent * 5+ years of ...

... Insurance, and other enterprise stakeholders * Deliver analytics, reporting and insight initiatives ... Bachelor's degree in Statistics, Mathematics, Data Science, Data Analytics, Business Intelligence ...

New

... Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan. Qualifications ... Master's Degree in Data Science, Computer Science, Statistics, or equivalent * 5+ years of ...

... Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan. Qualifications ... Master's Degree in Data Science, Computer Science, Statistics, or equivalent * 5+ years of ...

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... DLA Piper offers a comprehensive benefits package, including medical, dental, and vision insurance ...

New

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... DLA Piper offers a comprehensive benefits package, including medical, dental, and vision insurance ...

New

We handle the hard stuff -- payroll, health insurance, 401(k)s, and HR -- so owners can focus on ... Gusto is looking for an experienced Senior Data Science Leader to empower our Sales Data team, the ...

... data from a variety of insurance-related sources. • Perform exploratory data analysis to identify ... Required Qualifications • Bachelor's degree in Computer Science, Mathematics, Actuarial Science ...

... data from a variety of insurance-related sources. • Perform exploratory data analysis to identify ... Required Qualifications • Bachelor's degree in Computer Science, Mathematics, Actuarial Science ...

Data Scientist II

New York, NY · Hybrid

$131K - $172K/yr

Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims ... Help ensure data science processes and outputs align with broader team strategies and roadmaps

Data Scientist II

New York, NY · On-site

$131K - $172K/yr

Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims ... Help ensure data science processes and outputs align with broader team strategies and roadmaps

Data Scientist II

Manhattan, NY · On-site

$131K - $172K/yr

Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims ... Help ensure data science processes and outputs align with broader team strategies and roadmaps

The Vice President, Data Scientist will serve on Chubb's Global Analytics Risk Cohorts team ... Deep professional experience in insurance, including modeling, pricing, and actuarial analysis.

Showing results 41-60

Data Science Insurance information

See New York salary details

$25.1K

$118.5K

$223.6K

How much do data science insurance jobs pay per year?

As of Aug 20, 2026, the average yearly pay for data science insurance in New York is $118,518.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,850.00 and $168,363.00 per year, depending on experience, location, and employer.

What is a data science insurance?

A Data Science Insurance job involves using data analytics, machine learning, and statistical modeling to assess risks, detect fraud, optimize pricing, and enhance customer experience in the insurance industry. Professionals in this role analyze large datasets to identify patterns and trends that help insurers make data-driven decisions. They work with actuarial teams, underwriters, and claims departments to improve risk assessment and operational efficiency. This role requires expertise in programming languages like Python or R, as well as proficiency in data visualization, predictive modeling, and big data processing.

What are the key skills and qualifications needed to thrive in data science insurance?

To thrive in Data Science Insurance, you need strong analytical skills, proficiency in statistical modeling, and a solid foundation in mathematics and insurance principles, often supported by a degree in data science or actuarial science. Experience with programming languages like Python or R, data visualization tools, and knowledge of insurance-specific software or relevant certifications like ACAS or CSPA are highly valued. Excellent problem-solving abilities, attention to detail, and clear communication skills are essential for translating complex data into actionable insights for diverse teams. These competencies enable professionals to accurately assess risk, improve decision-making, and drive innovation within insurance organizations.

What are some common challenges faced by data scientists working in the insurance industry?

Data scientists in the insurance sector often encounter challenges like working with large, complex, and sometimes incomplete datasets, as well as navigating strict regulatory frameworks. Balancing the need for highly accurate predictive models with the business's risk appetite and operational constraints is a key aspect of the job. Additionally, there's a strong emphasis on explaining complex analytical findings to non-technical stakeholders such as underwriters, actuaries, or business managers. These challenges foster collaborative problem-solving and help data science professionals sharpen both their technical and communication skills in a real-world environment.

What are the most commonly searched types of Data Science Insurance jobs in New York?

The most popular types of Data Science Insurance jobs in New York are:

What cities in New York are hiring for Data Science Insurance jobs?

Cities in New York with the most Data Science Insurance job openings:

Infographic showing various Data Science Insurance job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, and 5% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $118,518 per year, or $57 per hour.

$140K - $160K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days ago


Job description

Why We Exist
Your car and your home are your most important assets, yet the experience of owning them is stuck in the 90s. Every part of the journey - buy/sell, insurance, maintenance, repairs - is fragmented, complicated, and expensive.
Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace.
We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets.
Why We're Hiring
Our Data Science & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations.
Every business unit has a Data Science team member embedded within it - someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years.
As our business continues to expand, there is growing demand for more Data Science team members. We are hiring 4-6 people to drive impact in these areas:
  • Growth Marketing
  • Product Development
  • AI & Automation
  • Strategic Partnerships

On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling.
Why You Will (Or Won't) Like Working Here
  • No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business - an important product, a new growth channel, a key metric, a critical partner relationship, etc.
  • No corporate fluff: The Data Science & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals.
  • Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end.

What You'll Own
You'll sit on our central Data Science & Analytics team but you'll be embedded in one of Jerry's core business areas - growth, product, AI and automation, strategic partnerships - and own the analytical function for that business unit end-to-end.
  • Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed.
  • Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics.
  • Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be.

Who You Are
  • First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with SQL or Python) but your instinct is to ask "what are we trying to solve here?" before jumping to "what should I build?"
  • Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede.
  • Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it's outside of your swim lane.

What You'll Bring
  • 2+ years of experience at a consulting firm, investment bank, or high-growth technology company.
  • Strong analytical skills; ability to pull, structure, and interpret data independently.
  • Track record of owning ambiguous problems and delivering impact.
  • Clear, persuasive communicator who can influence decisions at the leadership level.

Our Tools
SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub.
While we appreciate your interest and application, due to the volume of applications we receive, only applicants under consideration will be contacted.
Please note: Jerry.ai is only able to hire full-time salaried employees who currently reside in AZ, CA, CO, FL, GA, IL, MA, NC, NJ, NV, NY, OR, TN, TX, UT, VA, or Ontario, Canada, and full-time hourly employees who currently reside in AZ, FL, GA, NV, NY, NC, TN, TX, UT, or VA. Unfortunately, we cannot accept applications from candidates residing elsewhere at this time.
Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws.
Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai
The successful candidate's starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants.
We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits.
About Jerry.ai
Your car and your home are your most expensive assets. And for most people, these aren't just purchases, they're the physical embodiment of the life you've worked hard to build. Yet the experience of owning them is stuck in the 90s. Every step of the journey - buying, insuring, maintaining, repairing, selling - is fragmented, complicated, and expensive.
Imagine having a trusted friend in your pocket who takes care of everything: they find you the right car or home at the right price, lock in the best insurance rate without you lifting a finger, remind you before that service appointment turns into an expensive repair or, worse, an accident, and help you sell at the best price when the time is right. That friend is Jerry.
Jerry is building the first AI agent to manage all your physical assets. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace.
We've reached 5M+ customers, raised $240M+, and have been profitable since 2024. We're now expanding into home, motorcycle, RV, and beyond.
We're fully remote with offices in Palo Alto, New York, Chicago, and Toronto.