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Data Science Insurance Jobs in New York (NOW HIRING)

3ds

Lead Data Science Engineer

New York, NY · On-site

$135K - $180K/yr

Apply advanced skills in data architecture, data science engineering, data modeling, and data ... insurance; 401(k) matching; flexible paid time off; and 10 paid holidays per year. Equal Employment ...

Medidata Solutions

Lead Data Science Engineer

New York, NY · On-site

$135K - $180K/yr

Apply advanced skills in data architecture, data science engineering, data modeling, and data ... insurance; 401(k) matching; flexible paid time off; and 10 paid holidays per year. Equal Employment ...

Oscar Health

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

Jerry Insurance Agency, LLC

Data Scientist

New York, NY · On-site

$130K - $150K/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 ...

MhyMatch

Data Scientist

New York, NY · On-site +1

Continuous improvement in data science practices and methodologies. Salary and Benefits: * Competitive salary package with performance bonuses. * Health insurance, retirement plans, and paid time off.

PepsiCo

Data Science Associate Manager

Manhattan, NY

$120K - $205K/yr

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

Oscar Health

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

Oscar Health

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

EPIC Brokers

Lead Insurance Data Scientist

Summit, NJ · On-site

$150/hr

... 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 ...

EPIC Brokers

Lead Insurance Data Scientist

Manhattan, NY · On-site

$150/hr

... 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 ...

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Data Science Insurance information

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$25.1K

$118.5K

$223.6K

How much do data science insurance jobs pay per year?

As of Jul 15, 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 job?

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 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 key skills and qualifications needed to thrive in the Data Science Insurance position, and why are they important?

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 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 are popular job titles related to Data Science Insurance jobs in New York? For Data Science Insurance jobs in New York, the most frequently searched job titles are:
What job categories do people searching Data Science Insurance jobs in New York look for? The top searched job categories for 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:
Data Science Insurance jobs near you
Director, Data Science - Risk Adjustment

Director, Data Science - Risk Adjustment

Oscar Health

New York, NY • Hybrid

$218K - $286K/yr

Other

PTO

Posted 17 days ago

Oscar Health rating

6.9

Company rating: 6.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

239th of 281 rated insurance

Job description

Hi, we're Oscar. We're hiring a Director, Data Science - Risk Adjustment to join our Data Science team. 

Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves-one that behaves like a doctor in the family.

About the role:

The Director, Data Science Risk Adjustment, leads teams developing advanced analytics, machine learning, and AI-driven solutions that support Oscar's risk adjustment strategy and broader business objectives. This leader partners cross-functionally across Data Science, Product, Engineering, Clinical, Finance, and Actuarial organizations to build scalable analytical systems, drive operational and financial performance, and deliver high-impact insights in complex healthcare environments. The role combines organizational leadership, technical depth, and strategic influence, requiring strong experience in healthcare analytics, statistical modeling, experimentation, and modern AI/LLM-enabled workflows.

You will report into the VP, Data.

Work Location: This position is based in either our New York City office, Los Angeles office, Tempe Office, or can sit remotely in San Fransisco, Boston, Dallas, or Atlanta markets. If you live in the NYC, LA, or Tempe markets, this will be a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid

Pay Transparency: The base pay for this role is: $218,592 - $286,902 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses.

Responsibilities:

  • Translates company goals into roadmaps, plans, and tactics for their area. Key part of the department leadership team to influence in team strategy, operations, scope and culture
  • Leads and manages medium sized team(s) of data scientists and/or analysts, including managers
  • Influences and collaborates closely with senior data and business leaders across multiple areas
  • Leads team(s) that research, develop, and maintain data pipelines, statistical/ML models, and/or advanced analyses
  • Lead delivery of solutions through organizational design, cross-functional advocacy, systems design, management, and/or mentorship.
  • Champion a culture of collaboration and synergy within the data science team, among stakeholders, and across the broader organization.
  • Act as an advocate for the data science team, communicating their contributions and needs to senior leadership and other departments to ensure visibility and alignment with organizational goals.
  • Compliance with all applicable laws and regulations
  • Other duties as assigned

Requirements:

  • 10+ years of industry or other quantitative technical fields (which may include academia).
  • 7+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data
  • 7+ years experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing
  • 5+ years of experience working with data in healthcare (risk adjustment and/or actuarial experience preferred)
  • 5+ years working in a complex environment and managing interactions with multiple cross-functional stakeholders (business, product, engineering, etc.)
  • 3+ years of experience working with LLMs, entity recognition and extraction techniques
  • 3+ years of people management experience

Bonus points:

  • Advanced degree in a quantitative or technical field
  • Experience in the finance and/or insurance industries

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