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Data Science Insurance Jobs (NOW HIRING)

Tatari

Data Science Manager

New York, NY

$160K - $220K/yr

We're looking for a Data Science Manager to lead our growing AI product data science function. This ... Health insurance coverage for you and your dependents * 401K, FSA, and commuter benefits * $150 ...

Tatari

Data Science Manager

San Francisco, CA · On-site

$160K - $220K/yr

We're looking for a Data Science Manager to lead our growing AI product data science function. This ... Health insurance coverage for you and your dependents * 401K, FSA, and commuter benefits * $150 ...

Tatari

Data Science Manager

New York, NY · On-site

$160K - $220K/yr

We're looking for a Data Science Manager to lead our growing AI product data science function. This ... Health insurance coverage for you and your dependents * 401K, FSA, and commuter benefits * $150 ...

Weekday AI

Insurance Claims Management AI Expert

$100 - $120/hr

This role sits at the intersection of insurance operations, data science, and artificial intelligence, with a strong focus on optimizing the end-to-end claims lifecycle. The ideal candidate will ...

Corvel

Data Science Manager

Irvine, CA · On-site

$119.13K - $197.73K/yr

Master's degree preferred * 7+ years of hands-on experience in data science, ideally in a data product capacity in banking/finance, insurance or a related field * 5+ years of demonstrated experience ...

Corvel

Data Science Manager

Irvine, CA · On-site +1

Master's degree preferred * 7+ years of hands-on experience in data science, ideally in a data product capacity in banking/finance, insurance or a related field * 5+ years of demonstrated experience ...

StubHub

Data Science Manager

New York, NY · On-site

$300K - $400K/yr

The Data Science team, a part of the broader StubHub Data organization, is looking for an ... Dental Insurance options. The anticipated gross base pay range is below for this role. Actual ...

Tatari

Data Science Manager

San Francisco, CA

$160K - $220K/yr

We're looking for a Data Science Manager to lead our growing AI product data science function. This ... Health insurance coverage for you and your dependents * 401K, FSA, and commuter benefits * $150 ...

Next Step Systems

Data Science Developer

Chicago, IL · On-site

Benefits include medical insurance, retirement plan, PTO, etc. Salary: 80K+ DOE. Keywords: Chicago IL Jobs, Data Science Developer, Python Scripting, Perl, SQL, Postgres, MySQL, JavaScript MVC ...

StubHub

Data Science Manager

New York, NY · On-site +1

$300K - $400K/yr

The Data Science team, a part of the broader StubHub Data organization, is looking for an ... Dental Insurance options. The anticipated gross base pay range is below for this role. Actual ...

Maximus

Data Science Manager

VA · On-site +1

General information Job Posting Title Data Science Manager Date Tuesday, May 12, 2026 City Remote ... Additionally, Maximus provides a variety of benefits to employees, including health insurance ...

Epistemix

Data Scientist

Pittsburgh, PA · Remote

The Data Scientist supports data integration and modeling for a portfolio of customers, supporting ... About Epistemix The most consequential decisions in public health, life sciences, insurance, and ...

Mission Lane

Head of Data Science

About the Role As the Head of Data Science, you will lead the strategic direction of data science ... insurance options, disability coverage, paid parental leave, flexible spending account (for ...

Mission Lane

Head of Data Science

Richmond, VA · On-site +1

About the Role As the Head of Data Science, you will lead the strategic direction of data science ... insurance options, disability coverage, paid parental leave, flexible spending account (for ...

Chewy

Associate Director, Data Science

Boston, MA

In this role, you will lead a high-performing team of Data Scientists and Machine Learning ... We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life ...

The Jacobson Group

$175K - $200K/yr

Our client, a regional property and casualty insurance company, is seeking a Data Science Director. This individual will translate data into actionable strategies for the executive leadership team.

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Data Science Insurance information

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$23K

$108.4K

$204.5K

How much do data science insurance jobs pay per year?

As of May 29, 2026, the average yearly pay for data science insurance in the United States is $108,406.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,000.00 and $154,000.00 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 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 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.
More about Data Science Insurance jobs
What cities are hiring for Data Science Insurance jobs? Cities with the most Data Science Insurance job openings:
What are the most commonly searched types of Data Science Insurance jobs? The most popular types of Data Science Insurance jobs are:
What states have the most Data Science Insurance jobs? States with the most job openings for Data Science Insurance jobs include:
What job categories do people searching Data Science Insurance jobs look for? The top searched job categories for Data Science Insurance jobs are:
Data Science Insurance jobs near you
Infographic showing various Data Science Insurance job openings in the United States as of May 2026, with employment types broken down into 72% Full Time, 23% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $108,406 per year, or $52.1 per hour.

Manager, Data Science

Inland Empire Health Plan

Rancho Cucamonga, CA • On-site

$154.13K - $204.21K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 16 days ago

Job description

Overview
What you can expect!
Find joy in serving others with IEHP! We welcome you to join us in "healing and inspiring the human spirit" and to pivot from a "job" opportunity to an authentic experience!
The Manager, Data Science leads a team of data scientists, ML engineers, and AI specialists. This role requires a strong balance of technical expertise in advanced machine learning (including Generative AI), leadership experience, health care domain knowledge preferably in the managed care space, and the ability to align AI-driven solutions with business strategy. The Manager, Data Science enables the development of production-grade ML models, building GenAI applications (LLMs, RAG pipelines, prompt engineering, finetuning, multimodal models), and drives measurable business outcomes.
Commitment to Quality: The IEHP Team is committed to incorporate IEHP's Quality Program goals including, but not limited to, HEDIS, CAHPS, and NCQA Accreditation.
Additional Benefits
Perks
IEHP is not only committed to healing and inspiring the human spirit of our Members, but we also aim to match our team members with the same energy by providing prime benefits and more.
  • Competitive salary
  • State of the art fitness center on-site
  • Medical Insurance with Dental and Vision
  • Life, short-term, and long-term disability options
  • Career advancement opportunities and professional development
  • Wellness programs that promote a healthy work-life balance
  • Flexible Spending Account - Health Care/Childcare
  • CalPERS retirement
  • 457(b) option with a contribution match
  • Paid life insurance for employees
  • Pet care insurance

Key Responsibilities
  1. Leadership & Strategy
    • Lead and mentor a team of data scientists, ML engineers, and AI specialists.
    • Define and execute the roadmap for AI/ML and Generative AI initiatives across the enterprise.
    • Partner with business and technology stakeholders to identify AI use cases that create measurable value.
    • Advocate for responsible AI practices, ensuring solutions are ethical, explainable, secure, and compliant.
  2. Technical & Delivery
    • Oversee development of advanced ML models and AI systems (predictive, prescriptive, and generative).
    • Design and implement GenAI solutions, including LLM fine-tuning, embeddings, retrieval-augmented generation (RAG), and prompt optimization.
    • Drive end-to-end MLOps practices: model training, evaluation, deployment, monitoring, and lifecycle management.
    • Ensure scalability and performance of AI solutions within enterprise data platforms.
    • Collaborate with data engineering to optimize data pipelines for AI workloads.
  3. Innovation & Research
    • Stay at the forefront of GenAI, multimodal AI, and emerging ML techniques to evaluate their
      relevance and application.
    • Foster a culture of experimentation, rapid prototyping, and "fail-fast and pivot" approaches.
  4. Hire, train, and manage support staff, while monitoring and evaluating outcomes. Conduct performance reviews of each team Member within IEHP guidelines.
  5. Perform any other duties as required to ensure Health Plan operations and department business needs are successful.

Qualifications
Education & Requirement
Required:
  • At least ten (10) years of experience, which should include a minimum of seven (7) years of experience in data science & ML and at least five (5) years in a leadership/managerial role
  • Proven track record in leading AI/ML projects from conception to production
  • Experience with cloud AI platforms (Azure ML, GCP Vertex AI) and/or on-prem MLOps setups
  • Direct experience in Managed Care and Healthcare analytics, including claims data, care management, utilization, risk adjustment, member engagement, or related areas
  • Exposure to multimodal AI (text, image, audio, video) applications
  • Experience with Kubernetes, KServe, Ray, or MLflow for scaling AI workloads
  • Bachelor's Degree in Mathematics, Statistics, Computer Science, or related field from an accredited institution
    • Master's Degree in Mathematics, Statistics, Computer Science, or related field from an accredited institution preferred

Key Qualifications
  • Familiarity with basic principles of distributed computing and/or distributed databases
  • Knowledge of one or more business/functional areas. Working knowledge of diagnosis and procedure coding, medical terminology, knowledge of managed care, claims payment processes, and insurance terminology required
  • Familiarity with data governance, model interpretability, bias mitigation, and AI ethics
  • Strong analysis and critical thinking skills. Excellent communication and interpersonal skills
  • Strong programming skills in Python, PyTorch/TensorFlow, LangChain, Hugging Face, or equivalent framework
  • Ability to manipulate large datasets and using database and general-purpose programming language (R, Python, JavaScript, or other big data frameworks, Java, SQL)
  • Demonstrable ability to quickly understand new concepts all the way down to the theorems, and to come out with original solutions to mathematical issues
  • Ability to multi-task while maintaining careful attention to detail. Ability to handle multiple projects, data input, and strong problem-solving capability. Independent self-starter who is driven to success, takes great pride in accomplishments and works with a sense of urgency to meet deadlines and address competing priorities
  • Expertise in Generative AI (LLMs, transformers, embeddings, vector databases, RAG, fine-tuning, and prompt engineering). Strong business acumen and ability to translate technical solutions into executive-level impact stories.

Start your journey towards a thriving future with IEHP and apply TODAY!
Work Model Location
This position is on a hybrid work schedule. (Monday & Friday - remote, Tuesday - Thursday onsite in Rancho Cucamonga, CA.)
Willingness to be on call occasionally to attend to technical issues outside of normal business hours
Pay Range
USD $154,128.00 - USD $204,214.40 /Yr.

Apply