Data Scientist Insurance
Data Science
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How much does insurance cost for a data scientist business?

Small business owners can save money on commercial insurance by comparing quotes from different providers with Insureon. Data scientist insurance costs depend on the type of policy, coverage limits, deductibles, and factors such as your business's location and number of employees.

Top data scientist business insurance policies and their costs

Here are the top insurance policies purchased by data scientists and their average monthly costs:

Our figures are sourced from the median cost of policies for data scientists who apply for quotes with Insureon. The median offers a better estimate of what your business is likely to pay because it excludes outlier high and low premiums.

Errors and omissions insurance icon

Technology errors and omissions insurance

Data scientists pay an average of $110 per month, or $1,323 annually, for tech E&O insurance. This policy bundles errors and omissions insurance with cyber insurance at a lower cost than buying the policies separately.

Errors and omissions insurance, also known as professional liability insurance, provides financial protection against claims of professional negligence.

For example, if you provide recommendations based on the wrong machine learning algorithms and those recommendations cause your client a financial loss, you could find yourself facing a lawsuit.

Tech E&O adds third-party cyber insurance to this coverage, which extends protection in case a vulnerability in your data science services leads to a data breach or cyberattack at a client's business.

This is the average E&O insurance for data scientists who buy from Insureon:

Insurance premium: $110 per month
Policy limits: $1 million per occurrence; $1 million aggregate
Deductible: $2,500

The cost of errors and omissions insurance depends on factors such as the coverage limits you choose, the size of your business, and the type of data you work on.

Cyber insurance icon

Cyber insurance

Data scientists pay an average of $207 per month, or $2,488 annually, for cyber insurance. This policy is vital for data science startups that store personal information, such as customers' credit card numbers, Social Security numbers, or email addresses.

Cyber insurance covers the cost of complying with your state's data breach laws after a cyber incident. It can pay for legal fees, customer notification costs, and other expenses related to a data breach or cyberattack. You may also see this policy referred to as cyber liability insurance or cybersecurity insurance.

The cost of cyber insurance primarily depends on the amount of personal information handled by your data science company.

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General liability insurance

Data science contractors and businesses pay an average of $37 per month, or $446 annually, for general liability insurance.

This policy helps pay for legal defense costs from accidents that damage a client's property or cause bodily injury. It also covers lawsuits related to slander and libel, such as a claim that an employee at your data science agency made a derogatory statement about a competitor on social media.

This is the average general liability insurance policy for data scientists who buy from Insureon:

Premium: $37 per month
Policy limits: $1 million per occurrence; $2 million aggregate
Deductible: $500

Insureon’s licensed agents typically recommend a business owner’s policy (BOP), which combines general liability insurance with commercial property insurance at a discount to protect your computers and other business property.

For data scientists, the average premium for a business owner's policy is $59 per month or $707 annually. You can also add business interruption insurance to protect against financial losses from a forced closure due to a fire or storm.

The cost of general liability insurance depends on factors such as the coverage limits you choose, the size of your business, the amount of foot traffic, and any subcontractors or additional insured endorsements. Learn more about how your premium is calculated.

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Fidelity bonds

The average cost of a fidelity bond is $119 per month for data scientists, or $1,426 annually. Some clients, especially in the financial services industry, may require a bond before they will work with your data science business.

Fidelity bonds reimburse your client if one of your employees commits fraud, theft, or forgery, including illegal electronic funds transfer. This amount must be paid back to the company that issued the bond.

The cost of a fidelity bond is typically a small percentage of the bond amount.

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Workers' compensation insurance

Data scientists pay an average of $40 per month or $475 annually for workers' compensation insurance. This policy covers medical expenses and disability benefits when you or an employee suffers a work-related injury or illness.

Data science companies that have employees typically must purchase workers' comp to comply with state requirements and avoid penalties. It's also recommended for sole proprietors, as health insurance plans can deny claims for injuries related to your job.

Most policies include employer's liability insurance, which covers the cost of lawsuits related to workplace injuries.

The cost of workers' comp depends on the number of employees and their occupational risks, among other factors.

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Commercial auto insurance

Data science contractors and companies pay an average of $250 per month, or $3,001 annually, for commercial auto insurance. This policy can pay for property damage and medical bills in an accident involving your company vehicle. It can also cover vehicle theft, vandalism, and weather damage.

Most states require this type of insurance for vehicles owned by a data science business. For personal, rented, and leased vehicles used for work purposes, look to hired and non-owned auto insurance (HNOA) instead.

The cost of commercial car insurance depends on several factors, including the policy limits you choose, coverage options, the number and value of your vehicles, and the driving records of anyone permitted to drive.

Key factors influencing policy costs

Your insurance provider calculates your data science business insurance premiums based on a number of factors, including:
  • Type of data you handle: Data scientists who work with highly sensitive data may see elevated premiums compared to other data science companies.
  • Number of employees: The more employees that your data science business has on staff, the more opportunities there are for accidents to happen or data breaches to occur.
  • Location: If your data science company is located in an area that is more prone to natural disasters, increased foot traffic, or high crime rates, you may have to pay higher insurance costs than those who are located in areas where these factors are less present.
  • Security measures: Data science businesses that maintain more strict risk management practices could see lower rates than companies with fewer security measures in place.
  • Coverage limits and deductibles: Higher coverage limits and lower deductibles on your policy will typically increase premium costs, while lower limits and a higher deductible can help keep insurance rates lower.
  • Business size and revenue: Insurance companies often assume that data science companies that are making more money are also going to be facing increased industry exposure, which results in higher premiums.
  • Type of business structure: A self-employed data scientist may not have to pay as much for insurance as a larger data science company with multiple employees.
  • Business equipment and property: Data science businesses that work with more expensive computers are likely to see higher premiums. Similarly, any equipment that is used frequently tends to cost more to cover than more infrequently used items.
  • Types of insurance coverage purchased: Some policies are required to obtain contracts for data science professionals. These required policies often are needed to cover more expensive accidents and lawsuits, which tend to cost more than basic coverages.
  • Claims history: A data scientist with a lengthy list of previous insurance claims will likely pay more for insurance than a company with no claims history.

How do I get affordable data science insurance?

Insureon can help data scientists, data centers, and data analysts find affordable insurance coverage in three easy steps:

  1. Fill out a free online application with details about your business.
  2. Compare custom quotes from top-rated U.S. insurance providers.
  3. Select a policy and pay the premium to begin coverage.

You can consult a licensed insurance agent for questions about your risks, state insurance requirements, and the best coverage for your business needs. Once you've bought a policy, you can download a certificate of insurance (COI) for proof of coverage. Most small business owners can get insured within 24 hours of applying for quotes.

What our customers are saying

Updated: June 9, 2026
The average costs on this page were derived from our data on small business owners in the data science field who purchased policies through Insureon. Most of our customers have less than five employees, annual revenue ranging from around $50,000 to more than $200,000, and five years or less in business.

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