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Intern Data Scientist Graduate Jobs (NOW HIRING)

As a Palace Acquire Intern you will experience both personal and professional growth while dealing ... graduate education leading to a master's degree or equivalent graduate degree: a) Grade Point ...

$49.96K/yr

As a Palace Acquire Intern you will experience both personal and professional growth while dealing ... graduate education leading to a master's degree or equivalent graduate degree: a) Grade Point ...

Whether you are a recent graduate with untapped potential or a professional with proven experience ... education, professional licensing, intern development programs, University of Parkhill.

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Intern Data Scientist Graduate information

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$46K

$165K

$243.5K

How much do intern data scientist graduate jobs pay per year?

As of May 31, 2026, the average yearly pay for intern data scientist graduate in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Intern Data Scientist Graduate, and why are they important?

To excel as an Intern Data Scientist Graduate, you need a solid grounding in statistics, programming (especially Python or R), and data analysis, usually supported by a relevant degree or coursework. Familiarity with tools like SQL, Jupyter Notebooks, and machine learning libraries such as scikit-learn or TensorFlow is common, along with experience using data visualization platforms. Strong problem-solving, communication, and teamwork skills help you interpret data and present insights effectively. These competencies are crucial for transforming raw data into actionable information and contributing meaningful value to data-driven projects.

What types of projects can an Intern Data Scientist Graduate expect to work on during their internship?

As an Intern Data Scientist Graduate, you can expect to contribute to real-world projects such as cleaning and analyzing large datasets, building predictive models, and visualizing results to support business decisions. Interns often collaborate closely with experienced data scientists, software engineers, and business analysts, which helps develop both technical and communication skills. These projects are designed to provide hands-on experience with industry-standard tools and methodologies, offering a valuable foundation for a future career in data science.

What does an Intern Data Scientist Graduate do?

An Intern Data Scientist Graduate assists in analyzing large datasets to extract meaningful insights and support decision-making processes. They often work under the guidance of senior data scientists, helping to clean and preprocess data, build predictive models, and visualize results. Additionally, they may contribute to the development and testing of algorithms, participate in team meetings, and present findings to stakeholders. This role provides valuable hands-on experience and is typically aimed at recent graduates or students nearing completion of their studies.

What is the difference between Intern Data Scientist Graduate vs Data Scientist?

AspectIntern Data Scientist GraduateData Scientist
Required CredentialsTypically pursuing or recently completed a degree in data science, statistics, or related fieldBachelor's or master's degree in data science, computer science, or related field; often requires some experience
Work EnvironmentInternship programs, entry-level projects, supervised tasksFull-time role, independent project work, collaborative teams
Employer & Industry UsageInternships at tech companies, finance, healthcare, and research institutionsTech firms, finance, healthcare, consulting, and research organizations

The Intern Data Scientist Graduate role is an entry-level position designed for students or recent graduates gaining initial industry experience. In contrast, a Data Scientist is a full-time professional responsible for analyzing data, building models, and deriving insights. The internship offers learning opportunities, while the data scientist role involves independent project execution and strategic decision-making.

What cities are hiring for Intern Data Scientist Graduate jobs? Cities with the most Intern Data Scientist Graduate job openings:
What are the most commonly searched types of Data Scientist Graduate jobs? The most popular types of Data Scientist Graduate jobs are:
What states have the most Intern Data Scientist Graduate jobs? States with the most job openings for Intern Data Scientist Graduate jobs include:
DATA SCIENTIST

$49.96K/yr

Other

Posted 23 days ago


Job description

The PALACE Acquire Program offers you a permanent position upon completion of your formal training plan. As a Palace Acquire Intern you will experience both personal and professional growth while dealing effectively and ethically with change, complexity, and problem solving. The program offers a 3-year formal training plan with yearly salary increases. Promotions and salary increases are based upon your successful performance and supervisory approval.Qualifications:BASIC REQUIREMENT OR INDIVIDUAL OCCUPATIONAL REQUIREMENT:
Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
You may qualify if you meet one of the following:
1. GS-7: You must have completed or will complete a 4-year course of study leading to a bachelor's from an accredited institution AND must have documented Superior Academic Achievement (SAA) at the undergraduate level in the following:
a) Grade Point Average 2.95 or higher out of a possible 4.0 as recorded on your official transcript or as computed based on 4 years of education or as computed based on courses completed during the final 2 years of curriculum; OR 3.45 or higher out of a possible 4.0 based on the average of the required courses completed in your major field or the required courses in your major field completed during the final 2 years of your curriculum.
2. GS-9: You must have completed 2 years of progressively higher-level graduate education leading to a master's degree or equivalent graduate degree:
a) Grade Point Average - 2.95 or higher out of a possible 4.0 as recorded on your official transcript or as computed based on 4 years of education or as computed based on courses completed during the final 2 years of curriculum; OR 3.45 or higher out of a possible 4.0 based on the average of the required courses completed in your major field or the required courses in your major field completed during the final 2 years of your curriculum. If more than 10 percent of total undergraduate credit hours are non-graded, i.e. pass/fail, CLEP, CCAF, DANTES, military credit, etc. you cannot qualify based on GPA.
KNOWLEDGE, SKILLS AND ABILITIES (KSAs): Your qualifications will be evaluated on the basis of your level of knowledge, skills, abilities and/or competencies in the following areas:
1. Professional knowledge of basic principles, concepts, and practices of data science to apply scientific methods and techniques to analyze systems, processes, and/or operational problems and procedures.
2. Knowledge of mathematics and analysis to perform minor phases of a larger assignment and prepare reports, documentation, and correspondence to communicate factual and procedural information clearly.
3. Skill in applying basic principles, concepts, and practices of the occupation sufficient to perform routine to difficult but well precedented assignments in data science analysis.
4. Ability to analyze, interpret, and apply data science rules and procedures in a variety of situations and recommend solutions to senior analysts.
5. Ability to analyze problems to identify significant factors, gather pertinent data, and recognize solutions.
6. Ability to plan and organize work and confer with co-workers effectively.
PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work. You must clearly identify the duties and responsibilities in each position held and the total number of hours per week.
VOLUNTEER WORK EXPERIENCE: Refers to paid and unpaid experience, including volunteer work done through National Service Programs (i.e., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community; student and social). Volunteer work helps build critical competencies, knowledge and skills that can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.Education:IF USING EDUCATION TO QUALIFY: If position has a positive degree requirement or education forms the basis for qualifications, you MUST submit transcriptswith the application. Official transcripts are not required at the time of application; however, if position has a positive degree requirement, qualifying based on education alone or in combination with experience, transcripts must be verified prior to appointment. An accrediting institution recognized by the U.S. Department of Education must accredit education. Click here to check accreditation.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying.Employment Type: OTHER