A person working as Insurance Data Scientist in Vermont typically earns around 79,300 USD. Salaries range from 37,300 USD (lowest) to 125,000 USD (highest).
This is the average salary including housing, transport, and other benefits. Insurance Data Scientist salaries in Vermont vary drastically based on experience, skills, gender, or location. Below you will find a detailed breakdown based on many different criteria.
Minimum Salary 37,300 USD |
Median 75,200 USD |
Maximum 125,000 USD |
Salaries for the position Insurance Data Scientist in Vermont range from 37,300 USD (starting salary) to 125,000 USD (maximum salary). It should be noted that the given figure is not the legally mandated minimum wage; rather, it represents the lowest figure reported in a salary survey that included thousands of participants and professionals from all regions of the country.
With a median salary of 75,200 USD, half of the professionals who work as Insurance Data Scientist in Vermont earn less than this amount, and the other half earn more. The median salary denotes the middle value of salaries. Ideally, you would want to belong to the group earning more than the median salary, located on the right side of the salary distribution graph.
The median is closely associated with two other values known as the 25th and 75th percentiles. By examining the salary distribution chart, it can be determined that 25% of professionals employed as Insurance Data Scientist in Vermont earn less than 60,900 USD, while 75% earn more. Similarly, the chart shows that 75% earn less than 86,400 USD while 25% earn more.
To provide a better understanding of expected salaries, we categorized the frequently occurring salaries into different ranges. This approach provides a more precise representation of salary distribution for the job title Insurance Data Scientist in Vermont compared to simply calculating the average. The majority of reported salaries, approximately 65%, fall within the range of 45,600 USD to 65,600 USD. About 20% of salaries are below the 45,600 USD mark, while 10% fall within the range of 65,600 USD to 74,700 USD. Only 5% of individuals have salaries exceeding 74,700 USD.
0 - 2 Years | 43,000 USD | |
2 - 5 Years | +38% | 59,300 USD |
5 - 10 Years | +42% | 84,400 USD |
10 - 15 Years | +22% | 103,000 USD |
15 - 20 Years | +6% | 109,000 USD |
20+ Years | +9% | 118,000 USD |
The experience level is the most important factor in determining the salary. Naturally, the more years of experience the higher the wage. We broke down salaries by experience level for people working as Insurance Data Scientist and this is what we found.
Employees with less than two years of experience earn approximately 43,000 USD.
While someone with an experience level between two and five years is expected to earn 59,300 USD, 38% more than someone with less than two year's experience.
Moving forward, an experience level between five and ten years lands a salary of 84,400 USD, 42% more than someone with two to five years of experience.
Additionally, professionals whose expertise span anywhere between ten and fifteen years get a salary equivalent to 103,000 USD, 22% more than someone with five to ten years of experience.
If the experience level is between fifteen and twenty years, then the expected wage is 109,000 USD, 6% more than someone with ten to fifteen years of experience.
Lastly, employees with more than twenty years of professional experience get a salary of 118,000 USD, 9% more than people with fifteen to twenty years of experience.
High School | 53,100 USD | |
Certificate or Diploma | +17% | 61,900 USD |
Bachelor's Degree | +45% | 90,100 USD |
Master's Degree | +31% | 118,000 USD |
We all know that higher education equals a bigger salary, but how much more money can a degree add to your income? We broke down salaries by education level for the position Insurance Data Scientist in order to make a comparison.
Employees at this education level have an average salary of 53,100 USD.
At this level, the average salary becomes 61,900 USD, 17% more than the previous level.
At this level, the average salary becomes 90,100 USD, 45% more than the previous level.
At this level, the average salary becomes 118,000 USD, 31% more than the previous level.
A Master's degree program or any post-graduate program in United States costs anywhere from 39,600 USD to 119,000 USD and lasts approximately two years. That is quite an investment.
You can't really expect any salary increases during the study period, assuming you already have a job. In most cases, a salary review is conducted once education is completed and the degree has been attained.
Many people pursue higher education as a tactic to switch to a higher-paying job. The numbers seem to support the theory. The average increase in compensation while changing jobs is approximately 10% more than the customary salary increment.
If you can afford the costs of higher education, the return on investment is definitely worth it. You should be able to recover the costs in roughly a year or so.
Though gender should not have an effect on pay, in reality, it does. So who gets paid more: men or women? For the people who work as Insurance Data Scientist in United States, the average difference between the salary of male and female employees is 6%.
Male | 95,500 USD | |
Female | -5% | 90,600 USD |
Individuals working as Insurance Data Scientist in United States are likely to observe a salary increase of approximately % every months. The national average annual increment for all professions combined is 8% granted to employees every 16 months.
The term Annual Salary Increase usually refers to the increase in 12 calendar month period, but because it is rare that people get their salaries reviewed exactly on the one-year mark, it is more meaningful to know the frequency and the rate at the time of the increase.
The annual salary Increase in a calendar year (12 months) can be easily calculated as follows: Annual Salary Increase = Increase Rate x 12 / Increase Frequency
Not all compensation increases are reflected directly in the salary. Some companies offer upgraded packages to their staff instead of cash money. The figures displayed here account only for direct increments to the base salary.
100% of surveyed staff reported that they haven't received any bonuses or incentives in the previous year while % said that they received at least one form of monetary bonus.
Those who got bonuses reported rates ranging from % to % of their annual salary.
Received Bonus | % | |
No Bonus | 100% |
The most standard form of bonus, where the employee is awarded based on their exceptional performance.
Company Performance BonusesOccasionally, some companies like to celebrate excess earnings and profits with their staff collectively in the form of bonuses that are granted to everyone. The amount of the bonus will probably be different from person to person depending on their role within the organization.
Goal-Based BonusesGranted upon achieving an important goal or milestone.
Holiday / End of Year BonusesThese types of bonuses are given without a reason and usually resemble an appreciation token.
People tend to confuse bonuses with commissions. A commission is a prefixed rate at which someone gets paid for items sold or deals completed while a bonus is in most cases arbitrary and unplanned.
The main two types of jobs | |
Revenue Generators | Supporting Cast |
Employees that are directly involved in generating revenue or profit for the organization. Their field of expertise usually matches the type of business. | Employees that support and facilitate the work of revenue generators. Their expertise is usually different from that of the core business operations. |
Example: | Example: |
Revenue generators usually get more and higher bonuses, higher salaries, and more frequent salary increments. The reason is quite simple: it is easier to quantify your value to the company in monetary terms when you participate in revenue generation.
Top management personnel and senior employees naturally exhibit higher bonus rates and frequencies than juniors. This is very predictable due to the inherent responsibilities of being higher in the hierarchy. People in top positions can easily get double or triple bonus rates than employees down the pyramid.
The hourly wage is the salary paid in one worked hour. Usually, jobs are classified into two categories: salaried jobs and hourly jobs. Salaried jobs pay a fixed amount regardless of the hours worked. Hourly jobs pay per worked hour. To convert salary into hourly wage the above formula is used (assuming 5 working days in a week and 8 working hours per day which is the standard for most jobs). The hourly wage calculation may differ slightly depending on the worked hours per week and the annual vacation allowance. The figures mentioned above are good approximations and are considered to be the standard. One major difference between salaried employees and hourly paid employees is overtime eligibility. Salaried employees are usually exempt from overtime as opposed to hourly paid staff.
The minimum pay rate per hour for people working as Insurance Data Scientist in Vermont is 18 USD. This is the minimum as per the gathered data in the salary survey not the minimum hourly rate mandated by law.
Job Title | Average Salary |
Insurance | -100% | |
Actuarial Analyst | 113,000 USD | +43% |
Actuarial Assistant | 80,700 USD | +2% |
Actuarial Specialist | 82,700 USD | +4% |
Actuary | 116,000 USD | +46% |
Adjustment Insurance Clerk | 31,100 USD | -61% |
Assistant Broker | 53,900 USD | -32% |
Assistant Claims Manager | 96,800 USD | +22% |
Associate Insurance Representative | 44,800 USD | -44% |
Auditing Insurance Manager | 126,000 USD | +59% |
Blockchain Insurance Auditor | 80,900 USD | +2% |
Broker | 83,900 USD | +6% |
Claim Advocacy Professional | 90,100 USD | +14% |
Claims Adjuster | 31,800 USD | -60% |
Claims Analyst | 45,100 USD | -43% |
Claims Examiner | 45,700 USD | -42% |
Claims Manager | 125,000 USD | +58% |
Claims Processor | 33,400 USD | -58% |
Claims Representative | 38,100 USD | -52% |
Claims Resolution Specialist | 88,600 USD | +12% |
Claims Supervisor | 81,500 USD | +3% |
Complaints Specialist | 81,700 USD | +3% |
Compliance Examiner | 79,100 USD | -0% |
Compliance Officer | 69,800 USD | -12% |
Compliance Reviewer | 79,000 USD | -0% |
Consultant | 83,200 USD | +5% |
Drone Claims Adjuster | 38,500 USD | -51% |
Eligibility Interviewer | 93,500 USD | +18% |
Eligibility Specialist | 83,600 USD | +5% |
Insurance Account Manager | 104,000 USD | +31% |
Insurance Accounts Executive | 92,400 USD | +17% |
Insurance Adjuster | 79,900 USD | +1% |
Insurance Agent | 51,800 USD | -35% |
Insurance Analyst | 82,500 USD | +4% |
Insurance Appraiser | 89,800 USD | +13% |
Insurance Claims Clerk | 30,400 USD | -62% |
Insurance Compliance Officer | 96,000 USD | +21% |
Insurance Data Scientist | 79,300 USD | +0% |
Insurance Examiner | 76,000 USD | -4% |
Insurance Fraud Investigator | 72,500 USD | -9% |
Insurance Investigator | 79,100 USD | -0% |
Insurance Manager | 146,000 USD | +84% |
Insurance Operations Manager | 142,000 USD | +79% |
Insurance Policy Processing Clerk | 31,600 USD | -60% |
Insurance Pricing Assistant | 69,700 USD | -12% |
Insurance Product Manager | 103,000 USD | +30% |
Insurance Program Manager | 109,000 USD | +37% |
Insurance Project Manager | 106,000 USD | +34% |
Insurance Quality Assurance Agent | 76,600 USD | -3% |
Insurance Sales Agent | 51,200 USD | -35% |
Insurance Sales Director | 140,000 USD | +77% |
Insurance Sales Manager | 112,000 USD | +41% |
Insurance Sales Representative | 45,300 USD | -43% |
Insurance Team Leader | 91,300 USD | +15% |
Insurance Underwriter | 66,800 USD | -16% |
Insurtech Analyst | 82,200 USD | +4% |
Loss Control Specialist | 85,500 USD | +8% |
Loss Prevention Investigator | 93,100 USD | +17% |
Loss Prevention Manager | 119,000 USD | +50% |
Loss Prevention Specialist | 88,400 USD | +11% |
Marine Underwriter | 61,100 USD | -23% |
Medical Auditor | 86,200 USD | +9% |
Monitoring and Performance Officer | 57,800 USD | -27% |
Parametric Insurance Specialist | 82,600 USD | +4% |
Payment Services Specialist | 89,800 USD | +13% |
Peer-to-Peer Insurance Manager | 109,000 USD | +37% |
Policy Change Director | 133,000 USD | +68% |
Policy Change Supervisor | 93,100 USD | +17% |
Policy Change Technician | 42,200 USD | -47% |
Risk Analyst | 99,800 USD | +26% |
Risk Management Director | 158,000 USD | +99% |
Risk Management Supervisor | 104,000 USD | +31% |
Risk Manager | 156,000 USD | +97% |
Risk Modeling Manager | 158,000 USD | +99% |
Social Media Risk Analyst | 88,500 USD | +12% |
Title Insurance Typist | 71,800 USD | -9% |
Training Manager | 94,100 USD | +19% |
Underwriting Assistant | 41,600 USD | -48% |
Where can you get paid more, working in a private company or the government? The difference between the public or government sector salaries and the private sector salaries in United States is 5% on average across all career fields.
Private Sector | 92,800 USD | |
Public Sector | +5% | 97,500 USD |
A good and competitive compensation would range anywhere between 75,200 USD and 86,400 USD. This is a very rough estimate. Experience and education play a very huge part in the final earnings.
All salary and compensation figures displayed here are gross salary figures, that is the salary before tax deductions. Because taxes may differ across sectors and locations, it is difficult to accurately calculate the net salary after tax for every career.
The base salary for a careers like Insurance Data Scientist in Vermont ranges from 37,300 USD to 60,900 USD. The base salary depends on many factors including experience and education. It is not easy to provide a figure with very little information, so take this range with a grain of salt.
Both are indicators. If your salary is higher than both the average and the median then you are doing very well. If your salary is lower than both, then many people earn more than you and there is plenty of room for improvement. If your wage is between the average and the median, then things can be a bit complicated. We wrote a guide to explain all about the different scenarios. How to compare your salary
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