Data Science Intern Salary at Pagaya BETA

How much does a Pagaya Data Science Intern make?

As of April 2025, the average annual salary for a Data Science Intern at Pagaya is $80,910, which translates to approximately $39 per hour. Salaries for Data Science Intern at Pagaya typically range from $74,822 to $87,464, reflecting the diverse roles within the company.

It's essential to understand that salaries can vary significantly based on factors such as geographic location, departmental budget, and individual qualifications. Key determinants include years of experience, specific skill sets, educational background, and relevant certifications. For a more tailored salary estimate, consider these variables when evaluating compensation for this role.

DISCLAIMER: The salary range presented here is an estimation that has been derived from our proprietary algorithm. It should be noted that this range does not originate from the company's factual payroll records or survey data.

Website:
pagaya.com
Size:
500 - 1,000 Employees
Revenue:
$500M - $1B
Industry:
Software & Networking

Pagaya Technologies is a financial technology company reshaping asset management using machine learning and big data analytics to manage institutional money. With a focus on fixed income and alternative credit, Pagaya offers a variety of investment vehicles to institutional investors, including pension funds, insurance companies, and banks. Pagaya's unique technology platform, Pagaya Pulse, runs on a suite of artificial intelligence technologies and state-of-the-art algorithms to consistently deliver a high and scalable performance edge. Founded in 2016 by seasoned finance and technology professionals, Pagaya has headquartered in Tel Aviv, Israel.

See similar companies related to Pagaya

What Skills Does a person Need at Pagaya?

At Pagaya, specify the abilities and skills that a person needs in order to carry out the specified job duties. Each competency has five to ten behavioral assertions that can be observed, each with a corresponding performance level (from one to five) that is required for a particular job.

  1. Analysis: Analysis is the process of considering something carefully or using statistical methods in order to understand it or explain it.
  2. Troubleshooting: Troubleshooting is a form of problem solving, often applied to repair failed products or processes on a machine or a system. It is a logical, systematic search for the source of a problem in order to solve it, and make the product or process operational again. Troubleshooting is needed to identify the symptoms. Determining the most likely cause is a process of elimination—eliminating potential causes of a problem. Finally, troubleshooting requires confirmation that the solution restores the product or process to its working state. In general, troubleshooting is the identification or diagnosis of "trouble" in the management flow of a system caused by a failure of some kind. The problem is initially described as symptoms of malfunction, and troubleshooting is the process of determining and remedying the causes of these symptoms. A system can be described in terms of its expected, desired or intended behavior (usually, for artificial systems, its purpose). Events or inputs to the system are expected to generate specific results or outputs. (For example, selecting the "print" option from various computer applications is intended to result in a hardcopy emerging from some specific device). Any unexpected or undesirable behavior is a symptom. Troubleshooting is the process of isolating the specific cause or causes of the symptom. Frequently the symptom is a failure of the product or process to produce any results. (Nothing was printed, for example). Corrective action can then be taken to prevent further failures of a similar kind.
  3. Problem Solving: Analyzing and identifying the root cause of problems and applying critical thinking skills to solve problems.
  4. Computer science: Computer science is the study of computation, automation, and information. Computer science spans theoretical disciplines (such as algorithms, theory of computation, information theory, and automation) to practical disciplines.
  5. Planning: An act or process of making or carrying out plans. Establishment of goals, policies, and procedures for a social or economic unit city planning business planning.

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Check more jobs information at Pagaya

Job Title Average Pagaya Salary Hourly Rate
2 Python Developer $79,668 $38
3 Project Manager, Partnerships $132,788 $64
4 Project Manager, Product $149,871 $72
5 Project Manager, Compliance $147,399 $71
6 Project Manager, Data $172,209 $83
7 Project Manager, Information Technology $142,824 $69
8 Quality Assurance Engineer $84,727 $41
9 Real Estate Analyst $127,896 $61
10 Reporting Analyst $82,313 $40
11 Research Analyst $74,911 $36
12 Research Engineer $82,120 $39
13 Research Statistician $116,972 $56

Hourly Pay at Pagaya

The average hourly pay at Pagaya for a Data Science Intern is $39 per hour. The location, department, and job description all have an impact on the typical compensation for Pagaya positions. The pay range and total remuneration for the job title are shown in the table below. Pagaya may pay a varying wage for a given position based on experience, talents, and education.
How accurate does $80,910 look to you?

FAQ about Salary and Jobs at Pagaya

1. How much does Pagaya pay per hour?
The average hourly pay is $39. The salary for each employee depends on several factors, including the level of experience, work performance, certifications and skills.
2. What is the highest salary at Pagaya?
According to the data, the highest approximate salary is about $87,464 per year. Salaries are usually determined by comparing other employees’ salaries in similar positions in the same region and industry.
3. What is the lowest pay at Pagaya?
According to the data, the lowest estimated salary is about $74,822 per year. Pay levels are mainly influenced by market forces, supply and demand, and social structures.
4. What steps can an employee take to increase their salary?
There are various ways to increase the wage. Level of education: An employee may receive a higher salary and get a promotion if they obtain advanced degrees. Experience in management: an employee with supervisory experience can increase the likelihood to earn more.