Top carriers for Data Scientists
All five carriers below can be written as true own-occupation for most professions. Guardian and Ameritas build it into the base definition, MassMutual and Principal deliver it through their own-occupation rider or definition, and at The Standard it comes through a rider whose availability depends on your occupation class. Your optimal carrier depends on your specific specialty, income structure, and state. We compare all five side-by-side in every analysis.
| Carrier | Product | AM Best rating | Contract strength |
|---|---|---|---|
 | Provider Choice | A++ (Superior) | Strongest contract; best default mental-health |
 | Platinum Advantage | A (Excellent) | Contract clarity |
 | Income Protector | A+ (Superior) | Most flexible underwriting; deep rider menu |
 | Radius Choice | A++ (Superior) | Mutual-company dividends; Own Occupation Rider available |
 | DInamic Cornerstone | A (Excellent) | Competitive pricing; highest BOE limit |
Provider Choice
- AM Best
- A++ (Superior)
- Strength
- Strongest contract; best default mental-health
Radius Choice
- AM Best
- A++ (Superior)
- Strength
- Mutual-company dividends; Own Occupation Rider available
Income Protector
- AM Best
- A+ (Superior)
- Strength
- Most flexible underwriting; deep rider menu
Platinum Advantage
- AM Best
- A (Excellent)
- Strength
- Contract clarity
DInamic Cornerstone
- AM Best
- A (Excellent)
- Strength
- Competitive pricing; highest BOE limit
Get a comparison of all five carriers tailored to your specialty
Get a Quote ComparisonWhy should data scientists insure their income now?
Data scientists, data engineers, and ML engineers have more income to protect than they did a few years ago, because their pay has climbed quickly with the AI boom. According to the Occupational Outlook Handbook from the U.S. Bureau of Labor Statistics, data scientists "use analytical tools and techniques to extract meaningful insights from data," and the Bureau projects employment growth of 34 percent from 2024 to 2034, much faster than the average for all occupations. The income is the asset, and a group plan with a fixed monthly cap generally falls further behind it with each raise.
The field is also newer than law or medicine. For anyone making a first coverage decision, buying while young and healthy locks in the strongest terms. The risks and contract mechanics these roles share with the rest of tech get fuller treatment in our guide for tech professionals.
How does own-occupation coverage protect a data scientist's work?
It protects your quantitative work only when the contract uses a true own-occupation definition, the provision that decides whether a data professional's real job is protected. The work is advanced quantitative reasoning, building and tuning models, designing experiments, and reasoning through messy high-dimensional data. A weak contract treats all of that as generic computer use, which is the trap.
Under an any-occupation definition, a carrier can cite basic keyboard work as proof you are not disabled, which erases the difference between sitting at a computer and building statistical or machine-learning models at a high level. True own-occupation judges the claim against the analytical role itself. If a condition takes away your ability to do that modeling, the benefit pays even though simpler tasks are still within reach. On each placement we check that the definition stays true own-occupation for the whole benefit period. Carriers word it differently in ways that surface at claim time, and our own-occupation by carrier comparison sets their versions side by side.
What does disability insurance cost a data scientist?
Seaworthy's 2026 quote study priced the classes a data scientist generally receives under current occupation guides. Those are Ameritas 6A above $75,000 of income, The Standard 5A with at least a four-year degree, MassMutual 5A/5, Guardian 5, and Principal 6A for a PhD holder earning more than $100,000 in each of the prior two years (Principal confirms the class for a data scientist without a PhD at underwriting). Each cell prices one package with no discount, made up of true own-occupation, partial (residual) disability benefits, the increase riders each carrier includes, and a benefit period to age 65.
| Profile | Monthly benefit | 180-day wait | 180-day wait + inflation protection | 90-day wait + inflation protection |
|---|---|---|---|---|
| Male, 30 | $10,000 | $130–$200 | $160–$255 | $190–$295 |
| Female, 30 | $10,000 | $235–$325 | $270–$420 | $320–$490 |
| Male, 35 | $10,000 | $155–$235 | $190–$275 | $225–$325 |
| Female, 35 | $10,000 | $275–$385 | $315–$460 | $375–$540 |
| Male, 45 | $10,000 | $210–$350 | $240–$405 | $285–$480 |
| Female, 45 | $10,000 | $380–$570 | $430–$645 | $505–$760 |
Lowest to highest carrier, monthly, 2026 list price, Texas basis. Figures include residual coverage, the no-cost increase riders, and the own-occupation rider at carriers that sell one separately. They exclude the catastrophic disability rider, and inflation protection appears only where a column says so.
Start at the top of the table. For a 30-year-old man, $10,000 a month on a 180-day wait costs $130 to $200 depending on the carrier. A shorter 90-day wait plus inflation protection lifts it to $190 to $295. Five years older, the 180-day version is $155 to $235 for men and $275 to $385 for women.
Behind these ranges sit carrier illustrations Seaworthy ran in August 2026 for 28-, 35-, and 45-year-olds at monthly benefits of $5,000, $10,000, and $15,000. We interpolated the age-30 rows from those ages, derived female prices from each carrier's own measured female-to-male ratio, and set 180-day prices at 85% of the 90-day illustrations. A real quote moves with your state, your health history, and any employer, association, or occupation discount. Our tech worker cost page compares prices across the wider tech field, and the disability insurance cost guide covers premium mechanics in general.
How is the benefit sized for equity-heavy pay?
An individual policy is sized to documented total compensation, which matters because pay at large AI and tech firms leans heavily on equity. Group long-term disability generally covers base salary only, caps the monthly benefit, is typically taxable, and ends the day you change jobs, so for someone whose compensation is weighted toward RSUs, most of the real income goes uninsured.
The mechanics of which equity counts, how vesting history is documented, and how unvested grants and options are treated have enough detail to warrant their own page. See our RSU and equity compensation guide, and our coverage for people earning at pre-IPO startups where the equity picture is different again.
What disability risks can end an analytical career?
Cognitive and neurological conditions, including concussion, stroke, multiple sclerosis, and the cognitive side effects of medical treatment, are the risks most likely to end an analytical career, because they degrade the sustained focus and statistical reasoning the work demands. That is the reason own-occupation language carries so much weight for this group. Underwriters see the same exposure. When we audited our placed book in 2026, mental and nervous history sat behind around 43% of the exclusions, the largest single category, and a little over a quarter of policies, roughly 28%, carried some modification. Our State of Disability Underwriting research breaks the pattern down. Our tech disability insurance hub covers the fuller risk picture, including the screen-related and mental-health exposures these roles share with other tech professionals.
How does Seaworthy compare carriers for data scientists?
We quote Guardian, Principal, MassMutual, Ameritas, and The Standard on each data or ML case, independent of any single carrier, and weigh own-occupation language, occupation class, mental-health treatment, and price for your role and compensation. The Standard's Preferred Occupation Discount, up to 20% as of 2026, applies to data scientists holding a master's degree or PhD and can make it price-competitive for them. That discount gets weighed against each carrier's contract language so a lower premium never buys weaker protection. You get the carriers side by side and a benefit sized to what you earn. Start with a quote comparison. The provision-level breakdown lives in best disability insurance for software engineers, which treats data and ML roles on the same top-class footing.
Quoting all five carriers also means an exclusion one underwriter adds without support in the record can be weighed against how the other four read the same file.