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Data Science Intern - Fall 2026

Atlanta, GA · On-site

$30/hr

Data Scientist Intern - Fall 2026 This internship offers students the opportunity to work with the data science team on complex sports modeling and pricing problems, contributing to model development ...

Cresta

Data Science Intern (Customer Success)

We are looking for a motivated Data Science Intern to join our team. This role offers hands-on experience working with real-world data, building models, and supporting data-driven decision-making.

Evolver

Applied Data Science Intern

Palo Alto, CA

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company building advanced solutions for Fortune 500 organizations across finance, tax, risk, and audit. In ...

Evolver

Applied Data Science Intern

Palo Alto, CA · On-site

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company building advanced solutions for Fortune 500 organizations across finance, tax, risk, and audit. In ...

AEG

Data Science Intern - Fall 2026

Atlanta, GA · On-site

$30/hr

Data Scientist Intern - Fall 2026 This internship offers students the opportunity to work with the data science team on complex sports modeling and pricing problems, contributing to model development ...

Avathon

Data Scientist Intern

Pleasanton, CA · On-site

$30 - $35/hr

As a Data Science Intern, you will be an essential contributor to our AI-driven initiatives. You'll leverage your knowledge in statistics, machine learning, and programming to analyze large datasets ...

SkyNano

Computer Science Intern

Knoxville, TN

Job Title: Computer Science Intern Location: Knoxville, TN | Full-Time, Summer 2026 Company ... Contribute to UI improvements for usability and reproducibility in scientific data workflows.

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How much do evening data science intern jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for evening data science intern in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

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

To thrive as an Evening Data Science Intern, you need a solid grounding in statistics, programming (often Python or R), and data analysis, typically supported by coursework or a degree in a quantitative field. Familiarity with tools like SQL, Jupyter Notebooks, and libraries such as pandas, scikit-learn, or TensorFlow is common, and experience with data visualization platforms can be beneficial. Strong problem-solving skills, attention to detail, and effective communication help interns present insights and collaborate with teams. These abilities enable interns to contribute meaningful analyses and support data-driven decision-making in a professional setting.

What is an Evening Data Science Intern?

An Evening Data Science Intern is a student or early-career professional who works part-time, typically during evening hours, to assist with data science projects at a company or organization. Their responsibilities often include data cleaning, analysis, visualization, and supporting machine learning model development under the guidance of experienced data scientists. This role is ideal for individuals who have daytime commitments, such as school or another job, but want to gain practical experience and build their skills in data science. Evening internships can also provide flexibility and exposure to real-world data challenges.

What is the difference between Evening Data Science Intern vs Data Science Intern?

AspectEvening Data Science InternData Science Intern
Work HoursTypically evening or night shiftsStandard daytime hours
Work EnvironmentRemote or flexible, often part-timeUsually in-office or full-time remote
Required CredentialsLikely pursuing related degree, basic programming skillsSimilar educational background, entry-level
Industry UsageCommon in companies with 24/7 operationsStandard internship in tech and data firms

Both roles involve assisting with data analysis, modeling, and reporting. The main difference lies in work hours and environment, with Evening Data Science Interns working during evenings or nights, often part-time, while Data Science Interns typically work during regular daytime hours. The choice depends on your schedule and career goals, but both provide valuable industry experience.

What can an Evening Data Science Intern expect in terms of mentorship and collaboration during their internship?

As an Evening Data Science Intern, you will typically work closely with both junior and senior data scientists, often participating in regular team check-ins and project meetings that accommodate evening hours. Mentorship is commonly provided through code reviews, paired programming, and access to experienced team members who can guide you through complex problem-solving. You'll have opportunities to contribute to ongoing data projects, analyze real datasets, and present your findings, fostering both technical and communication skills. Collaboration tools like Slack, GitHub, and virtual meetings are often used to facilitate seamless teamwork across different schedules.
What cities are hiring for Evening Data Science Intern jobs? Cities with the most Evening Data Science Intern job openings:
What are the most commonly searched types of Data Science Intern jobs? The most popular types of Data Science Intern jobs are:
What states have the most Evening Data Science Intern jobs? States with the most job openings for Evening Data Science Intern jobs include:
Evening Data Science Intern jobs near you
Data Science Intern

Data Science Intern

American Fidelity

Oklahoma City, OK • On-site

Part-time

Posted 6 days ago

Job description

Job description
Perform various duties to support technical functions of the Enterprise Data & Innovation department. This could include, but is not necessarily limited to: data integration, database design, software programming, software testing, process analysis, requirements, report writing, data analysis, data scrubbing, predictive modeling, business intelligence development, troubleshooting and resolving technical problems, documentation and system administration using on-premise and/or cloud environments.
Prepare and deliver reports and presentations to various groups of various sizes to communicate findings and / or recommendations
Work collaboratively with manager, department members and other interns
Qualifications
Must be graduating May 2027 or after.
Basic Data modeling knowledge
Strong collaboration and teamwork skills
Problem solving skills
Strong communication skills (verbal and written)
Competent business etiquette and business ethics
Strong experience with MS Productivity Suite (Word, Excel, PowerPoint, etc.)
Ability to learn and adapt quickly, especially technology
Ability to analyze and document both business and technical processes
Basic business and financial acumen
Critical thinking skills
Knowledge of PC hardware and software
Strong work ethic
Job description
  • Perform various duties to support technical functions of the Enterprise Data & Innovation department. This could include, but is not necessarily limited to: data integration, database design, software programming, software testing, process analysis, requirements, report writing, data analysis, data scrubbing, predictive modeling, business intelligence development, troubleshooting and resolving technical problems, documentation and system administration using on-premise and/or cloud environments.
  • Prepare and deliver reports and presentations to various groups of various sizes to communicate findings and / or recommendations
  • Work collaboratively with manager, department members and other interns

Qualifications
  • Must be graduating May 2027 or after.
  • Basic Data modeling knowledge
  • Strong collaboration and teamwork skills
  • Problem solving skills
  • Strong communication skills (verbal and written)
  • Competent business etiquette and business ethics
  • Strong experience with MS Productivity Suite (Word, Excel, PowerPoint, etc.)
  • Ability to learn and adapt quickly, especially technology
  • Ability to analyze and document both business and technical processes
  • Basic business and financial acumen
  • Critical thinking skills
  • Knowledge of PC hardware and software
  • Strong work ethic

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